<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Gates Open Res</journal-id>
            <journal-title-group>
                <journal-title>Gates Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2572-4754</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/gatesopenres.13570.3</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Learning from success cases: ecological analysis of potential pathways to universal access to family planning care in low- and middle-income countries.</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 3; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Hellwig</surname>
                        <given-names>Franciele</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2509-9866</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Barros</surname>
                        <given-names>Aluisio JD</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2022-8729</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>International Center for Equity in Health, 1160 Marechal Deodoro St., 3rd floor, Pelotas, RS, 96020220, Brazil</aff>
                <aff id="a2">
                    <label>2</label>Postgraduation Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro St., 3rd floor, Pelotas, RS, 96020220, Brazil</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:fhellwig@equidade.org">fhellwig@equidade.org</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>1</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>6</volume>
            <elocation-id>59</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>17</day>
                    <month>1</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Hellwig F and Barros AJ</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
                <license>
                    <license-p>The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://gatesopenresearch.org/articles/6-59/pdf"/>
            <abstract>
                <p>
                    <bold>Background</bold>&#x00a0;</p>
                <p>Universal access to family planning services is a well-recognized human right and several countries and organizations are committed to this goal. Our objective was to identify countries who improved family planning coverage in the last 40 years and investigate which contexts enabled those advances.</p>
                <p>
                    <bold>Methods</bold>&#x00a0;</p>
                <p>Analyses were based on data from publicly available national health surveys carried out since 1986 in Egypt, Ethiopia, Rwanda, Afghanistan, Brazil, and Ecuador, selected based on previous evidence. We estimated demand for family planning satisfied with modern methods (mDFPS) for each country and explored inequalities in terms of wealth, women&#x2019;s education, and women&#x2019;s age. We also explored contextual differences in terms of women&#x2019;s empowerment, percentage of population living in extreme poverty, and share of each type of contraceptive. To better understand political and sociocultural contexts, country case studies were included, based on literature review.</p>
                <p>
                    <bold>Results</bold>&#x00a0;</p>
                <p>Patterns of mDFPS increase were distinct in the selected countries. Current level of mDFPS coverage ranged between 94% in Brazil and 38% in Afghanistan. All countries experienced an important reduction in both gender inequality and extreme poverty. According to the share of each type of contraceptive, most countries presented higher use of short-acting reversible methods. Exceptions were Ecuador, where the most used method is sterilization, and Egypt, which presented higher use of long-acting reversible methods. In the first years analyzed, all countries presented huge gaps in coverage according to wealth, women&#x2019;s education and women&#x2019;s age. All countries managed to increase coverage over recent years, especially among women from the more disadvantaged groups.</p>
                <p>
                    <bold>Conclusions</bold>&#x00a0;</p>
                <p>Family planning coverage increased along with reductions in poverty and gender inequality, with substantial increases in coverage among the most disadvantaged in recent years. Policies involving primary health care services, provision of various methods, and high-quality training of health providers are crucial to increase coverage.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>family planning</kwd>
                <kwd>contraception</kwd>
                <kwd>reproductive health</kwd>
                <kwd>health equity</kwd>
                <kwd>universal access</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/100000865">
                    <funding-source>Gates Foundation</funding-source>
                    <award-id>OPP1199234</award-id>
                </award-group>
                <award-group id="fund-2" xlink:href="http://dx.doi.org/10.13039/501100012418">
                    <funding-source>Associa&#x00e7;&#x00e3;o Brasileira de Sa&#x00fa;de Coletiva</funding-source>
                </award-group>
                <funding-statement>This work was supported by the Gates Foundation [OPP1199234] and [INV-010051]. The Associa&#x00e7;&#x00e3;o Brasileira de Sa&#x00fa;de Coletiva (ABRASCO) also acts as sponsor of the study.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 2</title>
                <p>The new version contains a small change in the title. More details were provided in our Methods, especially concerning the description of our methodology to select the countries. The sections of Introduction and Discussion were improved with additional sentences&#x00a0;expanding the discussion on the contextual factors affecting family planning coverage.&#x00a0; We also included cross references between our results and the case study subsection.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec>
            <title>Background</title>
            <p>Universal access to family planning has been recognized as fundamental to promote gender equality, good health, and well-being
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. Family planning can be defined as the capability of women, men, and couples to determine the number and spacing of their children, without any form of discrimination or coercion
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. More than to provide knowledge and the means to fertility control, family planning policies help to promote women&#x2019;s and child&#x2019;s health
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>.</p>
            <p>Since the 20
                <sup>th</sup> century, several family planning programs have been launched worldwide, increasing the prevalence of modern contraceptive use and reducing the total fertility rate in several countries
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. Among developing regions, higher increases in family planning coverage were found first for Latin America and the Caribbean region, followed by Asia and the Pacific, and Eastern Europe and Central Asia
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. In several of these countries, more recent trends are related to reduction of inequalities in coverage, with more vulnerable groups being reached by public policies
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. While the more industrialized countries started their fertility transition in the second half of the 20
                <sup>th</sup> century and rapidly increased their prevalence of contraceptive use, this has been much slower in most African countries. However, some countries have managed to rapidly increase modern contraceptive use, such as Ethiopia and Rwanda, especially since the 2010s, after the 2012 London Family Planning Summit, where commitment with family planning funding and programs was reinforced
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>.</p>
            <p>Several strategies for effective and sustainable family planning policies are already known, such as political commitment, adequate funding, availability of a range of methods, and community leaders
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. Based on those, several approaches to address the barriers to increase family planning coverage have been implemented in low- and middle-income countries in the past years, including the promotion of self-administered injection and implants among vulnerable women living in remote areas, and through peer education to reduce contraception stigma among adolescents
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. Currently, both lack of knowledge on family planning practices and access to contraceptive methods do not seem to be the main barriers to contraception, even in the world poorest countries
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. Instead, family planning is strongly dependent on beliefs and practices based on local social and cultural norms which vary widely across contexts
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>,
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. Low national coverage and larger gaps have been identified in countries with higher levels of extreme poverty and lower women&#x2019;s empowerment, where women may face stronger barriers to accessing contraceptives and may be exposed to risky sexual activity
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>,
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. In addition, in contexts of extreme poverty and limited method mix or untrained health providers, women may prefer sterilization to reversible contraceptives
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>.</p>
            <p>In Africa, especially the West and Central region, the prevalence of contraceptive use is low in most countries. These regions are still strongly affected by social norms of early marriage, desire for large families, and low levels of women&#x2019;s empowerment
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. In addition, most African countries have not provided sufficient resources for family planning in the past decades, resulting in a high level of unmet need for family planning
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>, especially in Sub-Saharan Africa, where almost 30% of women do not have their need for family planning satisfied
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>,
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup>. Coverage of family planning services is even lower among harder-to-reach subgroups, such as young women, women who live in rural areas and who are poor and less educated
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. Some countries in Asia also have persistent low levels of family planning coverage
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. Low women&#x2019;s empowerment, social norms, and health system barriers have been recognized as the main obstacles to modern contraception in Asian countries
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup>. Limited knowledge and misconceptions are also important barriers in the region, especially among adolescents
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>,
                    <xref ref-type="bibr" rid="ref-23">23</xref>
                </sup>. In Latin America and the Caribbean, high levels of contraceptive use have already been achieved in several countries but remain low in others. In addition, in Brazil, Mexico, Colombia, Dominican Republic, and El Salvador, a large share of demand for family planning is satisfied by permanent methods
                <sup>
                    <xref ref-type="bibr" rid="ref-24">24</xref>
                </sup>, an approach that is increasingly less desirable in terms of sociological aspects now that several long-acting contraceptives are available
                <sup>
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. Inequalities in contraceptive use according to socioeconomic and demographic characteristics persist in the region, with the poorer, the less educated, and indigenous women being the most disadvantaged
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>.</p>
            <p>Despite the improvements of the past decades, there is much more to be done. Progress has been much faster in some settings than in others
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>,
                    <xref ref-type="bibr" rid="ref-8">8</xref>,
                    <xref ref-type="bibr" rid="ref-26">26</xref>,
                    <xref ref-type="bibr" rid="ref-27">27</xref>
                </sup> and important socioeconomic and demographic inequalities in family planning are still being identified in several low- and middle-income countries
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>,
                    <xref ref-type="bibr" rid="ref-28">28</xref>
                </sup>. Our aim was to identify countries who managed to improve family planning coverage since 1980 and investigate which were the contexts that made those advances possible.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Selected geographies</title>
                <p>Based on previously published literature
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>,
                        <xref ref-type="bibr" rid="ref-8">8</xref>,
                        <xref ref-type="bibr" rid="ref-26">26</xref>,
                        <xref ref-type="bibr" rid="ref-27">27</xref>
                    </sup>, we sought countries from each of the UNICEF world regions with successful stories of increasing contraceptive use and reducing inequalities. Within each region, we looked up for the countries that presented the largest progress in increasing coverage or the ones that managed to rapidly increase it in the last years. We also considered countries that managed to increase coverage among disadvantaged women, such as the youngest, poorest, least educated, and rural residents. To present a broad picture while limiting the total number of countries in the study, we did not include more than two countries per region. We selected one country from the Middle East and North Africa (Egypt), two from Eastern and Southern Africa (Ethiopia and Rwanda), one from Asia (Afghanistan), and two countries from Latin America and the Caribbean (Brazil and Ecuador).</p>
            </sec>
            <sec>
                <title>Study design and data collection</title>
                <p>We used data from publicly available national health surveys, including Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and Reproductive and Health Surveys (RHS) carried out since 1986. These surveys are: Afghanistan 2010, 2015; Brazil 1986, 1996, 2006, 2013; Ecuador 1994, 1999, 2004, 2012; Egypt 1995, 2000, 2005, 2008, 2014; Ethiopia 2000, 2005, 2011, 2016, 2019; Rwanda 2000, 2005, 2010, 2014. All surveys included use standardized data collection procedures
                    <sup>
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>.</p>
                <p>To increase the amount of information for each selected country we also used estimates provided by the World Bank (
                    <ext-link ext-link-type="uri" xlink:href="https://data.worldbank.org/">https://data.worldbank.org/</ext-link>) based on other sources of data. To check the consistency of these estimates with the ones based on surveys, we compared existing survey estimates with those published by the World Bank and found no difference in most cases. The comparisons are presented in the supplementary material. A complete list of surveys used in the analyses is presented in 
                    <xref ref-type="table" rid="T1">Table 1</xref> and underlying data is published at Harvard Dataverse
                    <sup>
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>.</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>Demand for family planning satisfied by modern methods in the selected countries and share of modern contraceptive use according to type of method.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Country</th>
                                <th align="center" colspan="1" rowspan="1" valign="middle">Year</th>
                                <th align="center" colspan="1" rowspan="1" valign="middle">Source</th>
                                <th align="center" colspan="1" rowspan="1" valign="middle">mDFPS (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="middle">short-acting</th>
                                <th align="center" colspan="1" rowspan="1" valign="middle">long-acting</th>
                                <th align="center" colspan="1" rowspan="1" valign="middle">permanent</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="10" valign="middle">Afghanistan</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2000</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">16.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2003</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">26.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2005</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">32.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2006</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">38.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2008</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">35.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2010</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">MICS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">40.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">84.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">11.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">4.1</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2012</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">33.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2015</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">39.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">81.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">8.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">10.2</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2016</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">41.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2018</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">38.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="4" valign="middle">Brazil</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1986</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">79.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">39.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">59.2</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1996</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">89.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">37.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">60.8</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2006</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NSS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">91.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">52.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">45.6</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2013</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NSS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">93.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">64.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">32.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="7" valign="middle">Ecuador</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1982</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">56.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1987</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">52.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1989</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">65.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1994</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">RHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">66.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">30.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">28.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">42.0</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1999</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">RHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">74.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">37.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">22.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">41.4</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2004</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">RHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">81.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">41.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">18.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">415</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2012</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NSS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">89.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">38.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">15.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">45.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="15" valign="middle">Egypt</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1980</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">52.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1984</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">51.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1988</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">58.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1989</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">58.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1991</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">68.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1992</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">64.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1995</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">69.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">31.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">65.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.5</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1996</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">66.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1997</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">71.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1998</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">73.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2000</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">77.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">31.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">66.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.6</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2003</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">78.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2005</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">79.6</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">31.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">66.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.2</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2008</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">80.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">34.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">63.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1.8</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2014</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">80.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">44.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">53.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="8" valign="middle">Ethiopia</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1990</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">14.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1997</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">14.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2000</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">22.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">92.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">5.0</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2005</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">33.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">95.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1.2</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2011</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">49.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">84.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">13.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1.7</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2014</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">55.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2016</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">60.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">70.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">28.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1.2</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2019</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">63.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">74.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">25.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">0.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="8" valign="middle">Rwanda</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1983</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">7.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1992</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">32.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">1996</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">23.7</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2000</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">17.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">76.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">6.0</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">17.7</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2005</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">26.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">89.1</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">4.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">6.0</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2008</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">WB</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">38.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">NA</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2010</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">60.8</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">82.5</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">15.4</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2.0</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">2014</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">DHS</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">64.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">77.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">18.9</td>
                                <td align="center" colspan="1" rowspan="1" valign="bottom">3.1</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>DHS: Demographic and Health Survey, MICS: Multiple Indicator Cluster Survey, RHS: Reproductive Health Survey, NSS: Non-standard Survey, WB: World Bank data.
</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Study population</title>
                <p>We evaluated demand for family planning satisfied by modern methods (mDFPS) among women who were married or in a relationship. mDFPS is defined as the proportion of women in need of contraception that were using (or whose partner was using) a modern contraceptive method. Women were considered in need of contraception if they were fecund and did not want to become pregnant within two years or were unsure if or when they wanted to become pregnant. Those who were pregnant at the time of the survey and declared the pregnancy was unintended were also considered in need of contraception. Women were classified as infecund if they were menopausal; had had a hysterectomy; had never menstruated; had had their last period more than six months ago and were not postpartum amenorrhoeic; said they cannot get pregnant; or if they had been married for at least five years, had never used contraception and not become pregnant in the previous five years
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>.</p>
                <p>Different definitions of modern contraceptives have been proposed in the last years
                    <sup>
                        <xref ref-type="bibr" rid="ref-31">31</xref>,
                        <xref ref-type="bibr" rid="ref-32">32</xref>
                    </sup>. In this analysis, modern contraceptive methods were defined as medical procedures or technological products
                    <sup>
                        <xref ref-type="bibr" rid="ref-31">31</xref>
                    </sup> and included short-acting reversible methods (oral contraceptive pills, injections, spermicides, and male and female condoms); long-acting reversible contraceptives (intrauterine devices (IUD) and implants); and permanent methods (female and male sterilization). This definition does not consider lactational amenorrhea nor any calendar-based method as modern. Although they can be as effective as the methods we are considering as modern, they were not included here since they require a recent pregnancy or couples avoid sex.</p>
            </sec>
            <sec>
                <title>Ethical approval</title>
                <p>Ethical clearance was responsibility of the institutions that conducted the surveys, all of them were approved by the national committee of each country. All survey data are anonymized.</p>
            </sec>
            <sec>
                <title>Data analysis</title>
                <p>For some surveys, information to identify women in need of contraception was not available. Given the high correlation between demand for family planning satisfied and contraceptive use prevalence, we estimated mDFPS using the following predictive equation
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup>:</p>
                <p>
                    <disp-formula>
                        <mml:math display="block" id="math">
                            <mml:mrow>
                                <mml:mi>l</mml:mi>
                                <mml:mi>o</mml:mi>
                                <mml:mi>g</mml:mi>
                                <mml:mi>i</mml:mi>
                                <mml:mi>t</mml:mi>
                                <mml:mo stretchy="false">(</mml:mo>
                                <mml:mi>m</mml:mi>
                                <mml:mi>D</mml:mi>
                                <mml:mi>F</mml:mi>
                                <mml:mi>P</mml:mi>
                                <mml:mi>S</mml:mi>
                                <mml:mo stretchy="false">)</mml:mo>
                                <mml:mo>=</mml:mo>
                                <mml:mn>0.61</mml:mn>
                                <mml:mo>+</mml:mo>
                                <mml:mn>0.68</mml:mn>
                                <mml:mi>l</mml:mi>
                                <mml:mi>o</mml:mi>
                                <mml:mi>g</mml:mi>
                                <mml:mo stretchy="false">(</mml:mo>
                                <mml:mi>C</mml:mi>
                                <mml:mi>P</mml:mi>
                                <mml:mi>M</mml:mi>
                                <mml:mi>O</mml:mi>
                                <mml:mo stretchy="false">)</mml:mo>
                                <mml:mo>+</mml:mo>
                                <mml:mn>3.57</mml:mn>
                                <mml:mi>C</mml:mi>
                                <mml:mi>P</mml:mi>
                                <mml:mi>M</mml:mi>
                                <mml:msup>
                                    <mml:mi>O</mml:mi>
                                    <mml:mn>2</mml:mn>
                                </mml:msup>
                            </mml:mrow>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>where mDFPS is demand for family planning satisfied by modern methods and CPMO is the modern contraceptive use prevalence.</p>
                <p>CPMO was estimated for all countries without information to estimate mDFPS, considering it as the proportion of women 15-49 years of age currently using a modern contraceptive method. As mDFPS, CPMO was restricted to women who were married or in a union.</p>
                <p>The bulk of this study consists of a descriptive analysis of changes in family planning coverage and contextual factors. We used scatter plots to explore changes over time in mDFPS along with changes in the proportion of total population living in extreme poverty (less than US$ 1.90 a day), and in levels of gender inequality. This was measured by the Gender Inequality Index (GII), a composite measure reflecting inequality in achievement between women and men in three dimensions: reproductive health, empowerment, and labor market. A complete description of the index is available elsewhere
                    <sup>
                        <xref ref-type="bibr" rid="ref-34">34</xref>
                    </sup>. Using survey data, we also evaluated changes over time in mDFPS against changes in the mix of contraceptive methods used in each country and inequalities according to wealth, women&#x2019;s age, and women&#x2019;s education. Visual representation of absolute inequalities by each factor was accessed using equiplot graphs (equidade.org/equiplot) while changes in method mix were presented in stacked bar charts.</p>
                <p>Wealth was measured based on an asset index obtained from information on household assets, presence of electricity, water supply, sanitary facilities, and building materials of the dwelling, among other variables
                    <sup>
                        <xref ref-type="bibr" rid="ref-35">35</xref>,
                        <xref ref-type="bibr" rid="ref-36">36</xref>
                    </sup>. The wealth score was obtained through principal component analyses, estimated separately according to area of residence, since relevant assets may vary in each area, and were later combined into a single score using a regression-based scaling procedure
                    <sup>
                        <xref ref-type="bibr" rid="ref-35">35</xref>
                    </sup>. The scores assigned to the households were then used to divide them, weighted by the number of residents, into five equally sized groups. Women&#x2019;s age was categorized in three groups: 15&#x2013;17 years, 18&#x2013;19 years, and 20&#x2013;49 years. Women&#x2019;s education was classified according to the highest level achieved (none, primary, or secondary/higher).</p>
                <p>All analyses were conducted in Stata 16.0 (StataCorp, College Station, TX, USA), always considering the multi-stage survey design, including sampling weights and clustering.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>In all countries, according to the selection criteria, we observed important increases in mDFPS with time (
                <xref ref-type="fig" rid="f1">Figure 1</xref>). The patterns, however, are very distinct. Brazil and Ecuador, from LAC, presented the highest current levels of mDFPS, around 90%. Brazil, Egypt and Afghanistan did not present important changes in the past decade. Brazil has over 90% mDFPS, while Egypt stabilized around 80%. Afghanistan, however, presented a steep increase in mDFPS between 2000 and 2010, but since then coverage stagnated around 40%, with no further progress. Rwanda and Ethiopia presented increasing coverage during the whole study period, finishing with levels slightly over 60%.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Trends in demand for family planning satisfied by modern methods, Gender Inequality Index, and proportion of total population leaving behind poverty headcount ratio.</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15416/cb9587ac-e786-460d-adc6-e861c6583164_figure1.gif"/>
            </fig>
            <p>Along with the increase in mDFPS coverage, we observed important reductions over time in both gender inequality and the proportion of the population living in extreme poverty in our selected countries. 
                <xref ref-type="fig" rid="f1">Figure 1</xref> shows that, starting at different levels of gender inequality, all countries had important reductions over time. Interestingly, in Afghanistan the Gender Inequality Index (GII) was stable over the period when mDFPS was increasing and declined after 2010 when mDFPS did not increase any more. 
                <xref ref-type="fig" rid="f1">Figure 1</xref> presents a similar picture for the proportion of the population living in extreme poverty. Unfortunately, we have no data on the proportion of the population living in extreme poverty in Afghanistan.</p>
            <p>The patterns and change in contraceptive method mix were not similar across the study countries (
                <xref ref-type="fig" rid="f2">Figure 2</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>). Egypt presented the highest reliance on long-acting contraceptives, while for Ecuador it was permanent contraception. The other countries had a predominance of short-acting methods. Along with Ecuador, Brazil relied heavily on permanent contraception. However, this reliance was reduced over time, a trend that was also observed in Rwanda and to a lesser degree in Ethiopia. The use of long-acting methods increased in Ethiopia and Rwanda, and very discreetly in Brazil. Egypt, Afghanistan, and Ecuador, on the other hand, reduced the share of long-acting reversible methods.</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Share of modern contraceptive use according to world region.</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15416/cb9587ac-e786-460d-adc6-e861c6583164_figure2.gif"/>
            </fig>
            <p>In Egypt, along with a slight reduction in the use of long-acting reversible methods and an increase of short-acting contraceptives between 2008 and 2014 (
                <xref ref-type="fig" rid="f2">Figure 2</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>), there was an important reduction in wealth inequalities. Coverage of family planning was already high among the wealthiest in 1995, with a huge gap between the poorest and the wealthiest quintiles. In the last time point, mDFPS was still lower among the poorest than among the wealthiest, but the gap was much reduced (
                <xref ref-type="fig" rid="f3">Figure 3</xref>, 
                <xref ref-type="table" rid="T2">Table 2</xref>). Large gaps in terms of women&#x2019;s education were also identified in the first surveys, with much lower mDFPS coverage among those with no education. Currently, inequalities in terms of education are virtually null (
                <xref ref-type="fig" rid="f4">Figure 4</xref>, 
                <xref ref-type="table" rid="T3">Table 3</xref>). In terms of women&#x2019;s age, we observed an important improvement among adolescents, especially in the 15&#x2013;17 years age group. mDFPS among adolescents is still much lower than among women 20 years or more. However, mDFPS among girls aged 15&#x2013;17 was less than 30% until 2008 and, in 2014, it presented very important progress, being it 62.7% and nearly matching the coverage for older adolescents (64.2% among girls aged 18&#x2013;19) (
                <xref ref-type="fig" rid="f5">Figure 5</xref>, 
                <xref ref-type="table" rid="T4">Table 4</xref>).</p>
            <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                <label>Figure 3. </label>
                <caption>
                    <title>Demand for family planning satisfied by modern methods according to wealth quintiles.</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15416/cb9587ac-e786-460d-adc6-e861c6583164_figure3.gif"/>
            </fig>
            <table-wrap id="T2" orientation="portrait" position="anchor">
                <label>Table 2. </label>
                <caption>
                    <title>Demand for family planning satisfied by modern methods according to wealth quintiles.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="middle">Country</th>
                            <th align="center" colspan="1" rowspan="2" valign="middle">Year</th>
                            <th align="center" colspan="5" rowspan="1" valign="middle">mDPFS (%)</th>
                        </tr>
                        <tr>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Poorest</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">2nd</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">3rd</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">4th</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Wealthiest</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Afghanistan</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2006</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">24.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">33.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">39.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">44.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">54.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Afghanistan</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2010</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">34.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">32.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">38.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">42.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">56.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Afghanistan</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2015</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">34.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">34.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">33.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">40.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">51.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">1986</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">51.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">71.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">84.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">88.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">92.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">1996</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">88.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">91.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">91.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">92.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2006</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">87.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">91.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">92.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">92.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">92.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2013</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">94.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">1994</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">46.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">58.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">68.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">73.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">1999</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">56.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">64.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">86.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2004</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">66.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">78.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">83.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">85.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">87.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2012</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">87.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">89.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">89.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">91.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">90.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">1995</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">50.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">62.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">70.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">75.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">66.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">73.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">77.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">83.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">73.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">77.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">82.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">82.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2008</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">75.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">78.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">84.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2014</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">76.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">76.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">82.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">13.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">13.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">11.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">16.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">44.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">16.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">22.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">30.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">35.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">56.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2011</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">28.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">43.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">45.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">50.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">72.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2016</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">41.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">52.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">60.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">65.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">74.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2019</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">47.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">57.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">67.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">66.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">73.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">8.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">13.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">13.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">16.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">32.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">19.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">22.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">23.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">24.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">41.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2010</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">54.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">55.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">64.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">64.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">64.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">2014</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">63.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">63.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">65.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">63.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">65.7</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                <label>Figure 4. </label>
                <caption>
                    <title>Demand for family planning satisfied by modern methods according to women&#x2019;s education.</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15416/cb9587ac-e786-460d-adc6-e861c6583164_figure4.gif"/>
            </fig>
            <table-wrap id="T3" orientation="portrait" position="anchor">
                <label>Table 3. </label>
                <caption>
                    <title>Demand for family planning satisfied by modern methods according to women&#x2019;s education.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="middle">Country</th>
                            <th align="center" colspan="1" rowspan="2" valign="middle">Year</th>
                            <th align="center" colspan="3" rowspan="1" valign="middle">mDFPS (%)</th>
                        </tr>
                        <tr>
                            <th align="center" colspan="1" rowspan="1" valign="middle">None</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Primary</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Secondary +</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Afghanistan</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2010</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">39.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">46.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">56.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Afghanistan</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2015</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">38.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">39.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">47.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1986</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">60.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">89.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1996</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">86.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">91.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2006</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">83.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">90.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2013</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">94.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1994</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">42.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">63.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">74.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1999</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">58.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">70.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2004</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">61.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">77.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">85.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2012</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">84.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">88.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">90.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1995</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">62.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">72.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">75.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">73.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">78.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">75.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">82.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2008</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">78.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2014</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">16.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">33.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">56.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">27.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">43.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">69.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2011</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">43.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">53.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">75.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2016</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">55.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">63.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">76.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2019</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">53.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">70.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">77.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">11.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">15.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">37.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">20.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">26.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">48.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2010</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">53.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">61.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">67.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2014</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">57.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">65.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">66.8</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                <label>Figure 5. </label>
                <caption>
                    <title>Demand for family planning satisfied by modern methods according to women&#x2019;s age.</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15416/cb9587ac-e786-460d-adc6-e861c6583164_figure5.gif"/>
            </fig>
            <table-wrap id="T4" orientation="portrait" position="anchor">
                <label>Table 4. </label>
                <caption>
                    <title>Demand for family planning satisfied by modern methods according to women&#x2019;s age.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="middle">Country</th>
                            <th align="center" colspan="1" rowspan="2" valign="middle">Year</th>
                            <th align="center" colspan="3" rowspan="1" valign="middle">mDFPS (%)</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle">15&#x2013;17 yrs</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">18&#x2013;19 yrs</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">20&#x2013;49 yrs</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Afghanistan</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2015</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">14.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">19.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">40.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1986</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">74.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">68.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1996</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">69.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">72.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">90.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2006</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">83.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">84.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">91.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2013</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom"> </td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">91.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">93.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1994</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">26.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">46.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">68.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1999</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">41.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">49.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">75.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2004</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">53.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">79.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ecuador</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2012</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">87.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">90.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">1995</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">25.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">41.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">70.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">24.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">50.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">78.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">33.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">50.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2008</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">29.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">44.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">81.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Egypt</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2014</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">62.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">64.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">80.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">13.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">15.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">22.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">18.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">30.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">34.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2011</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">33.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">44.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">50.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2016</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">41.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">67.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">60.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2019</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">45.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">65.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">63.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2000</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom"> </td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">5.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">18.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2005</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom"> </td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">15.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">27.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2010</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom"> </td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">75.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">60.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="right" colspan="1" rowspan="1" valign="bottom">2014</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom"> </td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">85.6</td>
                            <td align="center" colspan="1" rowspan="1" valign="bottom">64.2</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Between 2000 and 2016, mDFPS in Ethiopia increased from 14.3% to 63.3% (
                <xref ref-type="fig" rid="f1">Figure 1</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>), with an increase in the use of long-acting reversible contraceptives and a reduction in permanent contraception (
                <xref ref-type="fig" rid="f2">Figure 2</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>).  Examining how wealth inequalities changed over time, we observed reduction in the gap between the poorest and the richest, but a large gap still persists (
                <xref ref-type="fig" rid="f3">Figure 3</xref>, 
                <xref ref-type="table" rid="T2">Table 2</xref>). Among the poorest, mDFPS coverage increased from 13.8% in 2000 to 47.9% in 2019. Over time we also observed an important change in the patterns of inequality
                <sup>
                    <xref ref-type="bibr" rid="ref-37">37</xref>
                </sup> &#x2013; from a very clear top inequality situation in 2000, to a linear pattern in 2019. A large reduction in the gap between levels of education was also observed (
                <xref ref-type="fig" rid="f4">Figure 4</xref>, 
                <xref ref-type="table" rid="T3">Table 3</xref>). In terms of age, the gap actually increased, with the youngest women now significantly trailing behind the others (
                <xref ref-type="fig" rid="f5">Figure 5</xref>, 
                <xref ref-type="table" rid="T4">Table 4</xref>).</p>
            <p>Rwanda made impressive progress in mDFPS, despite some decrease in coverage in the 1990s, which may be partly due to the use of different data sources in our analysis. From 2000 to 2014, mDFPS increased 3.6 times, from 17.9% to 64.3% (
                <xref ref-type="fig" rid="f1">Figure 1</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>). The increase in coverage was accompanied by an increase in long-acting reversible contraceptives and a decrease in sterilization (
                <xref ref-type="fig" rid="f2">Figure 2</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>). The change in wealth inequalities was most impressive, with a large gap and a top inequality pattern in 2000 being replaced by essentially no wealth inequality in 2014 (
                <xref ref-type="fig" rid="f3">Figure 3</xref>, 
                <xref ref-type="table" rid="T2">Table 2</xref>). In terms of women&#x2019;s education, the gap also reduced, with increased mDFPS coverage in all groups. However, mDFPS is still lower among those with no education, with 57.2% mDFPS, while women with secondary or higher education are at 66.8% (
                <xref ref-type="fig" rid="f4">Figure 4</xref>, 
                <xref ref-type="table" rid="T3">Table 3</xref>). In terms of age, the gap actually increased, but remarkably mDFPS started higher for women 20+ years, but from 2010 this pattern flipped and in 2014 adolescents 18&#x2013;19 years presented a much higher coverage of 85.6% (
                <xref ref-type="fig" rid="f5">Figure 5</xref>, 
                <xref ref-type="table" rid="T4">Table 4</xref>).</p>
            <p>Despite its weak track record in gender equality, Afghanistan succeeded in increasing family planning for a period. Even before its commitment with the Family Planning 2020 initiative in 2016, its mDFPS coverage increased from 16.2% to 38.4% between 2000 and 2018, but most progress was achieved between 2000 and 2005 (
                <xref ref-type="fig" rid="f1">Figure 1</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>). With only two available time points to assess the method mix, it is clear that short-acting reversible methods are by far the most used. There was some increase in permanent methods (4.1% to 10.2%), while long-acting contraceptives decreased (
                <xref ref-type="fig" rid="f2">Figure 2</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>). Large inequalities in mDFPS coverage still exist in terms of wealth, education, and age (
                <xref ref-type="fig" rid="f3">Figure 3</xref>&#x2013;
                <xref ref-type="fig" rid="f5">Figure 5</xref>). Most notably, younger women are far behind in mDFPS compared to those 20 years and over.</p>
            <p>In 1986, Brazil already had a high mDFPS coverage of 79.6%, with permanent contraception being the most common type. Large inequalities were present then, according to wealth, women&#x2019;s age and women&#x2019;s education (
                <xref ref-type="fig" rid="f3">Figure 3</xref>&#x2013;
                <xref ref-type="fig" rid="f5">Figure 5</xref>). Over time, impressive progress was achieved, with inequalities in all these dimensions decreasing to virtually null, while overall mDFPS reached 93.7% in 2013. The share of sterilization decreased and was just over 30% in the last time point.</p>
            <p>In Ecuador, mDFPS coverage increased from 56.0% % in 1982 to 89.8% in 2012 (
                <xref ref-type="fig" rid="f1">Figure 1</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>). Permanent contraception are currently the most used methods with 45.9% of the share, having increased in the last period (
                <xref ref-type="fig" rid="f2">Figure 2</xref>, 
                <xref ref-type="table" rid="T1">Table 1</xref>). Ecuador had huge and persistent inequalities in mDFPS in terms of wealth, education, and women&#x2019;s age up to 2004 (
                <xref ref-type="fig" rid="f3">Figure 3</xref>&#x2013;
                <xref ref-type="fig" rid="f5">Figure 5</xref>). In 2012 these inequalities nearly disappeared for all dimensions with younger adolescents presenting 81.3% of mDFPS coverage, up from 53.4% in 2004 (
                <xref ref-type="fig" rid="f5">Figure 5</xref>, 
                <xref ref-type="table" rid="T4">Table 4</xref>).</p>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>The objective of this paper was to identify characteristics, actions and programs in successful countries that may contribute to increasing family planning coverage in other settings. Our findings suggest a concomitant improvement in mDFPS coverage, gender equality, and reduction in poverty, with the more recent data indicating faster increases in coverage among the more disadvantaged women.</p>
            <p>In agreement with our findings, several previous studies have identified a positive association between women&#x2019;s empowerment and family planning coverage
                <sup>
                    <xref ref-type="bibr" rid="ref-38">38</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-40">40</xref>
                </sup>. Gender equality is a sexual and reproductive health determinant at the individual, family, and social levels, influencing women&#x2019;s decision-making power, mobility, financial autonomy, spousal communication, freedom from control by partner or family, exposition to intimate-partner violence, their aspirations, level of education, and their participation in the labor market
                <sup>
                    <xref ref-type="bibr" rid="ref-38">38</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-40">40</xref>
                </sup>.  At the same time, family planning has also been recognized as a relevant strategy to empower women and engage them in economic activities
                <sup>
                    <xref ref-type="bibr" rid="ref-41">41</xref>
                </sup>. A cyclic relationship is also experienced in terms of economic development, in which ensuring access to family planning services has been recognized as a relevant strategy to alleviating poverty, Lower levels of family planning coverage are persistently identified among poorer women, with lower availability of contraceptive methods, less trained providers, and higher perceived costs often identified in lower-income settings
                <sup>
                    <xref ref-type="bibr" rid="ref-41">41</xref>,
                    <xref ref-type="bibr" rid="ref-42">42</xref>
                </sup>. The reduction in the proportion of the population living in extreme poverty that we identified along with the increases in the levels of mDFPS, illustrates this long-term effect of the improvement in living conditions and increase access to family planning services.</p>
            <p>To evaluate pathways to success in family planning, we faced several limitations regarding the availability of information, specially related to family planning funding. It is known that several countries and international organizations have made financial commitments to increase family planning coverage, especially since the early 2010s
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. Unfortunately, information on health expenditure specifically on reproductive health is not available for most of the countries included in our analysis
                <sup>
                    <xref ref-type="bibr" rid="ref-43">43</xref>
                </sup>. Another limitation is related to women&#x2019;s empowerment. Although a measure of women&#x2019;s empowerment using national health surveys was already developed
                <sup>
                    <xref ref-type="bibr" rid="ref-44">44</xref>,
                    <xref ref-type="bibr" rid="ref-45">45</xref>
                </sup>, all the required information to estimate it is not available in most of the surveys included in our study. For this reason, we chose to use the Gender Inequality Index as an indicator of empowerment. Our study was also limited because information for longer periods is not available for all selected geographies and there are other countries that managed to increase family planning coverage but there is no available data to explore the context of these changes, especially those in Asia. Some of the aspects related to successes in family planning coverage which we could not measure in our article were already discussed in previous studies. Major policies and contributors in each setting are presented below, according to each country case.</p>
            <sec>
                <title>Country cases</title>
                <p>
                    <bold>
                        <italic toggle="yes">Egypt.</italic>
                    </bold> Egypt, an Arab country with historical cultural norms regarding early marriage and large families, began its commitment with family planning practices aiming to control population growth due to the narrative of its negative effects on availability of resources and national development
                    <sup>
                        <xref ref-type="bibr" rid="ref-46">46</xref>
                    </sup>. Egypt started to limit its population growth in the 1930s and in the 1950s the government started its endorsement of birth control and modern contraceptives were increasingly available
                    <sup>
                        <xref ref-type="bibr" rid="ref-46">46</xref>,
                        <xref ref-type="bibr" rid="ref-47">47</xref>
                    </sup>. With a high level of coverage since the 1980s, part of the Egyptian success in increasing contraceptive use was due to an early agreement between Western donors, national health professionals and female activists who managed to increase public trust and women&#x2019;s demand for family planning
                    <sup>
                        <xref ref-type="bibr" rid="ref-46">46</xref>
                    </sup>. The involvement of different leaders led to the promotion of family planning in community contexts and health facilities, integrating family planning with both health and social services
                    <sup>
                        <xref ref-type="bibr" rid="ref-46">46</xref>
                    </sup>. Another differential of Egyptian family planning policies was that family planning messages were not designed in favor of couples&#x2019; choices regarding family size, but were in favor of smaller families
                    <sup>
                        <xref ref-type="bibr" rid="ref-48">48</xref>
                    </sup>.</p>
                <p>Egypt decreased its total fertility rate of 5.6 births per women in 1976 to 2.8 in 2007
                    <sup>
                        <xref ref-type="bibr" rid="ref-46">46</xref>,
                        <xref ref-type="bibr" rid="ref-49">49</xref>
                    </sup>. Between the 1970s and the early 2000s, in a context of political instability, the number of health facilities have increased over 50 percent and the resources allocated by national government to family planning services have increased by 400 percent, contributing to an increase in the contraceptive use prevalence from 19% in 1976 to 59% in 2005
                    <sup>
                        <xref ref-type="bibr" rid="ref-49">49</xref>,
                        <xref ref-type="bibr" rid="ref-50">50</xref>
                    </sup>. The reduction in fertility rate was largely credited to the increased use of contraception, and in a smaller measure to the increase in the number of induced abortions and the increase in the age of marriage
                    <sup>
                        <xref ref-type="bibr" rid="ref-48">48</xref>,
                        <xref ref-type="bibr" rid="ref-49">49</xref>
                    </sup>.</p>
                <p>In the family context, factors identified as important determinants of contraceptive use were the desire for less children, the number of living children, place of residence, woman&#x2019;s work after marriage, and the level of education of the woman and her husband
                    <sup>
                        <xref ref-type="bibr" rid="ref-50">50</xref>
                    </sup>. Although we found a high level of gender inequality until the 2010s, previous studies indicated that Egyptian families have been built upon more equitable standards. In 1992, men and women already had similar fertility preferences, with an ideal family size of three children on average
                    <sup>
                        <xref ref-type="bibr" rid="ref-50">50</xref>
                    </sup>. While in 1992, only 29% of Egyptians declared that there was an agreement in fertility preferences
                    <sup>
                        <xref ref-type="bibr" rid="ref-50">50</xref>
                    </sup>, in 2008, already more than 85% of women using modern contraceptives had declared that this decision was made jointly with their husbands
                    <sup>
                        <xref ref-type="bibr" rid="ref-48">48</xref>
                    </sup>. Despite the progress in women&#x2019;s education, female employment and wife&#x2019;s opportunity cost did not lead to a significant lower number of wanted children during the peak of increase in modern contraception
                    <sup>
                        <xref ref-type="bibr" rid="ref-48">48</xref>
                    </sup>. More recent studies have found a significant effect among women with secondary level or higher
                    <sup>
                        <xref ref-type="bibr" rid="ref-51">51</xref>
                    </sup>, however, the early adoption of family planning policies seems to be a stronger factor in the desire for smaller families and modern contraceptive use among women of all socioeconomic groups in Egypt
                    <sup>
                        <xref ref-type="bibr" rid="ref-48">48</xref>
                    </sup>.</p>
                <p>
                    <bold>
                        <italic toggle="yes">Ethiopia.</italic>
                    </bold> Ethiopia is one of the most populous countries in Africa, which had been exposed to huge political instability in the second half of the 20
                    <sup>th</sup> century, with the abolishment of the parliament, domain of an authoritarian revolutionary regime, suspension of the constitution, and land expropriation
                    <sup>
                        <xref ref-type="bibr" rid="ref-52">52</xref>,
                        <xref ref-type="bibr" rid="ref-53">53</xref>
                    </sup>. Since the 1980s, Ethiopians have been facing water scarcity and repeated famine episodes. The critical scenario naturally affected the desired family size in Ethiopia. Following this increased demand for contraceptives and in partnership with international donors, Ethiopia managed to increase provision of contraceptive methods and, consequently, the national coverage raised. Modern contraceptive use prevalence increased from 2.9% in 1990 to 27.3% in 2011, and total fertility rate declined from 7 children per woman to 4.8, respectively
                    <sup>
                        <xref ref-type="bibr" rid="ref-54">54</xref>
                    </sup>.</p>
                <p>The first movement related to family planning policies in Ethiopia occurred in 1966, with the foundation of the Family Guidance Association of Ethiopia, affiliated with the International Planned Parenthood Federation. The first national policy was implemented in the early 1990s and, as in Egypt, its primary concern was to reduce the population growth to promote socioeconomic development. Aspects addressed in this policy were the elimination of legal barriers to socioeconomic rights for women and family planning propaganda advising in favor of smaller families. The following policies expanded the sources of contraceptives and proposed new plans to end poverty and expand the number of health providers and sources of contraceptives
                    <sup>
                        <xref ref-type="bibr" rid="ref-54">54</xref>,
                        <xref ref-type="bibr" rid="ref-55">55</xref>
                    </sup>. Structural factors such as the number of modern contraceptive methods available and distance to health facilities have been identified as significant factors associated with increased use of contraception among Ethiopian women
                    <sup>
                        <xref ref-type="bibr" rid="ref-56">56</xref>
                    </sup>. Family planning was also included in HIV, postabortion and postpartum services
                    <sup>
                        <xref ref-type="bibr" rid="ref-54">54</xref>,
                        <xref ref-type="bibr" rid="ref-57">57</xref>
                    </sup>. Later on, in the early 2000s, the national government launched the Health Extension Plan, which delivers primary health care and family planning services in the more vulnerable settings, and has removed import taxes to contraceptive methods
                    <sup>
                        <xref ref-type="bibr" rid="ref-54">54</xref>,
                        <xref ref-type="bibr" rid="ref-57">57</xref>
                    </sup>. Since 2009, health extension workers were allowed to provide implants and midwives to insert IUDs
                    <sup>
                        <xref ref-type="bibr" rid="ref-58">58</xref>,
                        <xref ref-type="bibr" rid="ref-59">59</xref>
                    </sup>. It was a successful strategy, which was fundamental for the increase of long-acting reversible methods. In the 2012 London Family Planning Summit, Ethiopia put family planning in the core of its health system, aiming to address aspects related to supply of contraceptives, increase of the family planning budget, reduce early marriage, and improve its strategy to meet the needs of adolescents
                    <sup>
                        <xref ref-type="bibr" rid="ref-54">54</xref>,
                        <xref ref-type="bibr" rid="ref-60">60</xref>
                    </sup>. Complementary to the health extension workers, school-based family planning programs have being providing sexual and reproductive education to girls and reinforcing the importance to use contraception and continue education
                    <sup>
                        <xref ref-type="bibr" rid="ref-60">60</xref>
                    </sup>.</p>
                <p>Among the selected countries, Ethiopia was the leading country in reductions in the proportion of the population living in extreme poverty and managed to increase mDFPS among women from all groups of age, wealth, and education. The progress made in Ethiopia was also made possible by the international donor support and by the support provided by nongovernmental organizations, improving service delivery and promoting behavior-change campaigns. Because of its delicate situation and the national government commitment with family planning, Ethiopia was the African country that received most international funding for family planning. In addition to monetary resources, Ethiopia has been receiving technical and management resources from the Global Health Initiative
                    <sup>
                        <xref ref-type="bibr" rid="ref-54">54</xref>
                    </sup>.</p>
                <p>
                    <bold>
                        <italic toggle="yes">Rwanda.</italic>
                    </bold> Between 2005 and 2015, Rwanda increased its modern contraceptive use from 17% to 53%
                    <sup>
                        <xref ref-type="bibr" rid="ref-61">61</xref>
                    </sup> and decreased its total fertility rate from 6.1 to 4.6 births per woman
                    <sup>
                        <xref ref-type="bibr" rid="ref-62">62</xref>
                    </sup>. The major factor that possibly contributed its success was the government commitment, who increased the family planning budget and made family planning services available
                    <sup>
                        <xref ref-type="bibr" rid="ref-54">54</xref>,
                        <xref ref-type="bibr" rid="ref-61">61</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-63">63</xref>
                    </sup>. Family planning services in Rwanda are still being funded mostly by international organizations
                    <sup>
                        <xref ref-type="bibr" rid="ref-61">61</xref>
                    </sup>, but the national government made them a national priority and, with collaboration of different sectors, innovation and evidence-based strategies, have been implementing and supporting family planning policies
                    <sup>
                        <xref ref-type="bibr" rid="ref-63">63</xref>,
                        <xref ref-type="bibr" rid="ref-64">64</xref>
                    </sup>.</p>
                <p>The discussion on promotion of contraception started in Rwanda much later than in Egypt and Ethiopia, in the early 1980s, with the creation of the National Office of Population
                    <sup>
                        <xref ref-type="bibr" rid="ref-64">64</xref>
                    </sup>. National family planning policies in Rwanda have been built upon strong campaigns with training of providers, increase of the range of methods available, and mass media campaigns
                    <sup>
                        <xref ref-type="bibr" rid="ref-62">62</xref>
                    </sup>. Aiming to improve reproductive health outcomes and endeavor national development, the creation of the National Reproductive Health Policy in 2003 addressed issues related to women&#x2019;s, adolescent&#x2019;s and child&#x2019;s health, prevention of sexually transmitted infections, family planning, and women&#x2019;s decision-making power
                    <sup>
                        <xref ref-type="bibr" rid="ref-63">63</xref>,
                        <xref ref-type="bibr" rid="ref-65">65</xref>
                    </sup>. With the 2005 National Policy for Family Planning and the 5-year strategy, other important aspects were addressed in order to increase family planning coverage, such as the encouragement of the participation of men and the whole community in family planning discussions, increased efficiency in the provision of family planning services, construction of more health posts, facilitated distribution of short-acting reversible methods by community health workers, and the promotion of training to insertion of long-acting reversible methods and male permanent contraception
                    <sup>
                        <xref ref-type="bibr" rid="ref-61">61</xref>,
                        <xref ref-type="bibr" rid="ref-62">62</xref>
                    </sup>. These policies are aligned with our findings that between 2005 and 2010 Rwanda achieved not only important increases in mDFPS, but also reductions in gaps in coverage and a more balanced mix of methods, with a reduction in the role of sterilization and an increase in the share of long-acting methods. Another potential contributor for this improvement was the decentralization of health services, with increased access to health services for those living in rural areas
                    <sup>
                        <xref ref-type="bibr" rid="ref-61">61</xref>,
                        <xref ref-type="bibr" rid="ref-63">63</xref>
                    </sup>.</p>
                <p>The increased number of women in the parliament has suggested that part of Rwanda&#x2019;s success in family planning programs is related to gender-equality issues at a macro level
                    <sup>
                        <xref ref-type="bibr" rid="ref-65">65</xref>
                    </sup>. However, since the start, the main aim of family planning policies in Rwanda has been to reduce population growth, not to tackle gender equality
                    <sup>
                        <xref ref-type="bibr" rid="ref-62">62</xref>,
                        <xref ref-type="bibr" rid="ref-63">63</xref>,
                        <xref ref-type="bibr" rid="ref-65">65</xref>
                    </sup>. Pursuing the government aim to transform Rwanda into a middle-income country by 2020, family planning messages have been putting smaller families not only as contributive but as imperative to reduce poverty and promote development
                    <sup>
                        <xref ref-type="bibr" rid="ref-62">62</xref>,
                        <xref ref-type="bibr" rid="ref-63">63</xref>,
                        <xref ref-type="bibr" rid="ref-65">65</xref>
                    </sup>. On the other hand, along with the provision of family planning services, education, job opportunities, and empowerment of women were promoted by national policies in order to support behavior changes regarding fertility preferences
                    <sup>
                        <xref ref-type="bibr" rid="ref-64">64</xref>
                    </sup>.</p>
                <p>Previous studies indicate that individual factors associated with greater use of contraception among Rwandese women were their level of education, place of residence, agreement with their husband regarding the desired number of children, experience of child mortality, and exposure to family planning information
                    <sup>
                        <xref ref-type="bibr" rid="ref-62">62</xref>
                    </sup>.</p>
                <p>
                    <bold>
                        <italic toggle="yes">Afghanistan.</italic>
                    </bold> The impressive progress observed for the other selected countries was not observed for Afghanistan. Even so, it was the country with the fastest increase among the Asian countries with available data. The Islamic Republic of Afghanistan is a country with strong religious and strict social norms, and it has been ravaged by war and plagued by political instability under the Taliban from 1996 to 2001
                    <sup>
                        <xref ref-type="bibr" rid="ref-66">66</xref>,
                        <xref ref-type="bibr" rid="ref-67">67</xref>
                    </sup>. Despite the issues in its health and education system, the country managed to increase family planning coverage in the past two decades, after the deposition of the Taliban regime, in 2001, with the US led invasion of the country
                    <sup>
                        <xref ref-type="bibr" rid="ref-66">66</xref>,
                        <xref ref-type="bibr" rid="ref-67">67</xref>
                    </sup> and the implementation of important strategies. Important factors associated with this success were the engagement of different members of the community in family planning discussions, the focus on the benefits of birth spacing to the health of children and mothers, literacy programs for women, and the increase in the number of female community health workers
                    <sup>
                        <xref ref-type="bibr" rid="ref-68">68</xref>
                    </sup>.</p>
                <p>In the late 1990s, Afghanistan had a total fertility of 7.5 children per woman and one of the highest rates of maternal mortality in the world
                    <sup>
                        <xref ref-type="bibr" rid="ref-67">67</xref>
                    </sup>. With the family planning messages focusing on the importance of larger birth spacing, parity started to decline and the age of first childbearing started to increase in the early 2000s
                    <sup>
                        <xref ref-type="bibr" rid="ref-66">66</xref>
                    </sup>. The first national health policy was implemented in 2003, the Basic Package of Health Services, which aimed to deliver a variety of health services, including family planning
                    <sup>
                        <xref ref-type="bibr" rid="ref-66">66</xref>
                    </sup>. The higher acceptance of family planning among Afghan families is probably due to its specific approach, that was more sensitive to the health benefits of larger birth spacing than to the potential economic benefits of smaller families
                    <sup>
                        <xref ref-type="bibr" rid="ref-68">68</xref>
                    </sup>.</p>
                <p>Differences in acceptance of contraception between different ethnic groups in Afghanistan has been documented
                    <sup>
                        <xref ref-type="bibr" rid="ref-67">67</xref>
                    </sup>. Despite the huge heterogeneity, increase in contraceptive use has been documented in regions where religious leaders supported it
                    <sup>
                        <xref ref-type="bibr" rid="ref-68">68</xref>,
                        <xref ref-type="bibr" rid="ref-69">69</xref>
                    </sup>. In some settings, they were also providing family planning knowledge to men. This represents a very important advance, since Islam is not only the predominant religion, but the foundation of their culture and their lives
                    <sup>
                        <xref ref-type="bibr" rid="ref-68">68</xref>
                    </sup>. Despite the religious concerns regarding family planning, Islam allows it when pursuing the common good or when the family is very poor
                    <sup>
                        <xref ref-type="bibr" rid="ref-68">68</xref>,
                        <xref ref-type="bibr" rid="ref-69">69</xref>
                    </sup>.</p>
                <p>Strong cultural gender inequalities are another barrier to contraceptive use, due to the preference of a male child, which tends to increase the number of children, and due to power imbalance between husband and wife
                    <sup>
                        <xref ref-type="bibr" rid="ref-68">68</xref>,
                        <xref ref-type="bibr" rid="ref-69">69</xref>
                    </sup>.  Another barrier to contraception is the influence of other family members in the desired family size. Life experiences of older family members tend to be passed on to current generations
                    <sup>
                        <xref ref-type="bibr" rid="ref-69">69</xref>
                    </sup>.</p>
                <p>Important strategies to deal with these barriers were the promotion of basic education to women,  the support from non-government organizations, family planning services working with both men and women, the integration of family planning with other health services, and the implementation of community health workers
                    <sup>
                        <xref ref-type="bibr" rid="ref-68">68</xref>
                    </sup>.</p>
                <p>Despite the improvement in family planning coverage starting in 2000 with the end of the Taliban rule, there was much space to increase coverage, which stalled after 2008. Several basic aspects were not addressed, such as the lack of male involvement in family planning counseling, limited method mix offered in public facilities, limitation of health providers to offer specific methods, such as IUD and injectables, and religious prohibition of some contraceptive methods
                    <sup>
                        <xref ref-type="bibr" rid="ref-69">69</xref>
                    </sup>. Unfortunately, the progress that was achieved in the previous decades is now being lost after the Taliban regained power in 2021
                    <sup>
                        <xref ref-type="bibr" rid="ref-70">70</xref>
                    </sup>. Notwithstanding, we opted to keep Afghanistan in our study since our analysis was in an advanced stage in 2021. It is important to note, however, that the country can no longer be considered a success story.</p>
                <p>
                    <bold>
                        <italic toggle="yes">Brazil.</italic>
                    </bold> Public policies related to population growth started in Brazil in the 1950s, in a context of high fertility rate and fears of a demographic explosion
                    <sup>
                        <xref ref-type="bibr" rid="ref-71">71</xref>,
                        <xref ref-type="bibr" rid="ref-72">72</xref>
                    </sup>. Only at the end of the 20th century was the impact of family planning on women&#x2019;s health included in the official discourse
                    <sup>
                        <xref ref-type="bibr" rid="ref-72">72</xref>
                    </sup>. Contrary to the other countries selected and despite the international pressure for population control, the Brazilian government was not directly involved in the first family planning programs
                    <sup>
                        <xref ref-type="bibr" rid="ref-73">73</xref>,
                        <xref ref-type="bibr" rid="ref-74">74</xref>
                    </sup>. The first reproductive health policy from the government, the Program of Integrated Assistance to Women&#x2019;s Health, was only launched in 1986
                    <sup>
                        <xref ref-type="bibr" rid="ref-74">74</xref>,
                        <xref ref-type="bibr" rid="ref-75">75</xref>
                    </sup>.</p>
                <p>During the 1960s, in addition to the rapid population growth and in a time when contraception was considered a taboo in the country, Brazil had a high rate of induced abortions. In a context where promotion of contraception was out of the law, the high occurrence of abortion was a powerful motivator to private health providers to offer contraceptives
                    <sup>
                        <xref ref-type="bibr" rid="ref-71">71</xref>,
                        <xref ref-type="bibr" rid="ref-74">74</xref>
                    </sup>. Despite the prohibition of contraception according to the 1941 Act, condoms were allowed to prevent diseases and contraceptive pills were allowed for ovulation control and regularization of the menstrual cycle
                    <sup>
                        <xref ref-type="bibr" rid="ref-71">71</xref>
                    </sup>. In a context of industrialization and increasing female insertion in the labor market, the 
                    <italic toggle="yes">Sociedade Civil Bem-estar Familiar no Brasil</italic> (BEMFAM, Society for Family Wellfare) was founded in 1965, with support from the International Planned Parenthood Federation, aiming to open the discussion on reproductive health, increase the provision of family planning services, and provide training to health professionals
                    <sup>
                        <xref ref-type="bibr" rid="ref-71">71</xref>
                    </sup>.  The press, through news and analysis articles on family planning, the TV generally, and especially through the popular soap operas showing wealthier families with small families may also had a role in behavior change and promotion of family planning in Brazil
                    <sup>
                        <xref ref-type="bibr" rid="ref-71">71</xref>,
                        <xref ref-type="bibr" rid="ref-76">76</xref>
                    </sup>.</p>
                <p>During the second half of the 20
                    <sup>th</sup> century, socioeconomic conditions had improved, social mobility had increased, consumption expectations had raised, and national public health started to migrate from control of diseases to hospital-based curative care, leading to a growing demand for female sterilization, which was mostly performed after a cesarian section and paid out-of-pocket. In the more vulnerable regions, sterilizations were paid by politicians, in exchange for votes
                    <sup>
                        <xref ref-type="bibr" rid="ref-73">73</xref>,
                        <xref ref-type="bibr" rid="ref-77">77</xref>
                    </sup>. Between 1978 and 1986, use of sterilization increased more than 100 percent in the Southeast region and almost 80 percent in the Northeast region
                    <sup>
                        <xref ref-type="bibr" rid="ref-74">74</xref>
                    </sup>. In 1986, more than half of the married women were already using a modern contraceptive method, mostly female sterilization or the contraceptive pill
                    <sup>
                        <xref ref-type="bibr" rid="ref-74">74</xref>
                    </sup>. Use of sterilization continued to increase over the 1990s, when it became subsidized by the Brazilian Unified Health System created by the new 1988 constitution
                    <sup>
                        <xref ref-type="bibr" rid="ref-74">74</xref>
                    </sup>. Up to 2013, Brazil managed to increase family planning coverage to 94% and reached all population subgroups. As our initial analysis indicated, there was a reduction in the share of permanent contraception in favor of short-acting methods, but long-acting contraceptives are still little used in the country
                    <sup>
                        <xref ref-type="bibr" rid="ref-75">75</xref>,
                        <xref ref-type="bibr" rid="ref-78">78</xref>
                    </sup>.</p>
                <p>
                    <bold>
                        <italic toggle="yes">Ecuador.</italic>
                    </bold> Aiming to improve maternal and child health and guarantee families&#x2019; rights to plan their family size, family planning was made one the highest priorities in Ecuador since the 1970s. Between 1970 and 2015, modern contraceptive prevalence increased from 15% to 61%
                    <sup>
                        <xref ref-type="bibr" rid="ref-79">79</xref>
                    </sup>. The national commitment with the human right of families to choose their family size and space births is demonstrated in the 1998 Ecuadorian constitution and in the National Population Policy of 1987
                    <sup>
                        <xref ref-type="bibr" rid="ref-80">80</xref>
                    </sup>. The USAID played a major role in the initial years of the Ecuadorian reproductive health programs, between 1970 and 1999, working with public and private institutions and getting support from other international organizations. The aim of the policies was to increase use of family planning services and improve maternal and child health with sustainability, aiming to increase the financial sustainability and independence of major local nongovernmental organizations, 
                    <italic toggle="yes">the Associaci&#x00f3;n Pro-bienestar de la Familia and the Centro M&#x00e9;dico de Orientaci&#x00f3;n y Planificaci&#x00f3;n Familiar</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-80">80</xref>
                    </sup>.</p>
                <p>Despite the efforts made in the first decades of family planning policies in Ecuador, more disadvantaged women were not reached. Although mDFPS was already high among the more advantaged groups in 1994, until 2004 coverage was low among the poorest, less educated, and younger women. The scenario changed with the health reform in 2007, when the supply of modern contraceptive methods increased in primary health care facilities and the offer of female sterilization increased, especially after childbirth
                    <sup>
                        <xref ref-type="bibr" rid="ref-81">81</xref>
                    </sup>. Trying to reach adolescents, health services for adolescents were first differentiated, with health providers being trained to be more sensitive to adolescents needs and language. Because it was not resolute, in a second stage, the Intersectoral Policy for the Prevention of Pregnancy in Girls and Adolescents was created, aiming to address social and contextual barriers to contraceptive use
                    <sup>
                        <xref ref-type="bibr" rid="ref-82">82</xref>
                    </sup>.</p>
                <p>Despite the increase in coverage among those who were poorer and who lived in more remote areas
                    <sup>
                        <xref ref-type="bibr" rid="ref-83">83</xref>
                    </sup>, there is evidence of the insufficient effect of this increase in the supply of contraceptives on modern contraceptive use, especially among indigenous women, due to lack of cultural sensitivity
                    <sup>
                        <xref ref-type="bibr" rid="ref-81">81</xref>,
                        <xref ref-type="bibr" rid="ref-84">84</xref>
                    </sup>. Other persistent barriers to increase coverage among more disadvantaged populations are the gender-based violence and absence of economic opportunity
                    <sup>
                        <xref ref-type="bibr" rid="ref-81">81</xref>
                    </sup>.</p>
            </sec>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>Over the 20
                <sup>th</sup> century several countries managed to increase modern contraceptive use and decrease their fertility rates based on the ideas of avoiding a demographic explosion and promoting national development and economic growth. In the 21
                <sup>th</sup> century, there was wide perception that the ideal number of children for a family is not a decision for international or governmental organizations to make. Family planning involving the number and timing of children should be decided by the woman and the couple, according to their needs and desires. Society is not a unique agent with a unique aspiration, but an aggregate of different individuals and different aspirations.</p>
            <p>Despite the improvements made in the selected countries, in most of them there is space for more improvement, especially among the more disadvantaged groups. Aspects highlighted are the natural expansion of coverage with the expansion in the proportion of the population living in urban areas, and the better integration of family planning services in other health services
                <sup>
                    <xref ref-type="bibr" rid="ref-54">54</xref>,
                    <xref ref-type="bibr" rid="ref-56">56</xref>
                </sup>.</p>
            <p>Obviously, we cannot replicate the same strategies to different cultural and socioeconomic contexts. However, some basic aspects were fundamental to increase coverage in the geographies analyzed and could be beneficial to other settings. Crucial factors to increase coverage were governmental commitment with well-designed policies and the involvement of primary health services. It is also essential that trained health providers are equipped to offer precise and clear information on family planning and on all the available methods. Also, a wide mix of methods must be available to match the needs and preferences of both women and men
                <sup>
                    <xref ref-type="bibr" rid="ref-63">63</xref>
                </sup>. Policies and approaches should also be culturally adapted to offer acceptable alternatives to different groups, be them religious or ethnic. Finally, a strong commitment of all society stakeholders must be made in order to make family planning available to all, so that no one is left behind
                <sup>
                    <xref ref-type="bibr" rid="ref-61">61</xref>
                </sup>.</p>
        </sec>
    </body>
    <back>
        <sec sec-type="data-availability">
            <title>Data availability</title>
            <p>Data used in this study are from:</p>
            <p>The women&#x2019;s dataset of Afghanistan 2015; Brazil 1986, 1996; Egypt 1995, 2000, 2005, 2008, 2014, Ethiopia 2000, 2005, 2011, 2016, 2019; and Rwanda 2000, 2005, 2010, 2014, available from the Demographic and Health Survey (DHS) 
                <ext-link ext-link-type="uri" xlink:href="https://dhsprogram.com/">website</ext-link>. Access to the dataset requires registration and is granted only for legitimate research purposes. A guide for how to apply for dataset access is available at: 
                <ext-link ext-link-type="uri" xlink:href="https://dhsprogram.com/data/Access-Instructions.cfm">https://dhsprogram.com/data/Access-Instructions.cfm</ext-link>
            </p>
            <p>The women&#x2019;s dataset of the Afghanistan 2010 Multiple Cluster Indicator Survey (MICS), available from the MICS website. Access to the dataset requires registration and is granted only for legitimate research purposes. Questions about data access can be directed to 
                <email xlink:href="mailto:mics@unicef.org">mics@unicef.org</email>
            </p>
            <p>The women&#x2019;s dataset of Ecuador 1994, 1999, 2004 Reproductive Health Survey (RHS), available from the 
                <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/">CDC website</ext-link>. Access to the dataset requires registration and is granted only for legitimate research purposes.</p>
            <p>The women&#x2019;s dataset of Brazil 2006, 2013, available from the 
                <italic toggle="yes">Pesquisa Nacional de Sa&#x00fa;de</italic> 
                <ext-link ext-link-type="uri" xlink:href="https://www.pns.icict.fiocruz.br/">website</ext-link>. Access to the dataset requires registration and is granted only for legitimate research purposes.</p>
            <p>The women&#x2019;s dataset of Ecuador 2012, available from the 
                <italic toggle="yes">Encuesta Nacional de Salud y Nutrici&#x00f3;n</italic> 
                <ext-link ext-link-type="uri" xlink:href="https://www.salud.gob.ec/encuesta-nacional-de-salud-y-nutricion-ensanut/">website</ext-link>. Access to the dataset requires registration and is granted only for legitimate research purposes.</p>
            <p>Data on the family planning coverage were obtained from the World Bank for Afghanistan 2000, 2003, 2005, 2006, 2008, 2012, 2016, 2018; Ecuador 1982, 1987, 1989; Egypt 1980, 1984, 1988, 1989, 1991, 1992, 1996, 1997, 1998, 2003; Ethiopia 1990, 1997, 2014, 2016, and Rwanda 1983, 1992, 2008. World Bank data is available for open access. Demand for family planning satisfied by modern methods coverage is available at: 
                <ext-link ext-link-type="uri" xlink:href="https://data.worldbank.org/indicator/SH.FPL.SATM.ZS">https://data.worldbank.org/indicator/SH.FPL.SATM.ZS</ext-link>
            </p>
            <sec>
                <title>Underlying data</title>
                <p>Harvard Dataverse: Demand for family planning satisfied in successful countries. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/HKZLOS">https://doi.org/10.7910/DVN/HKZLOS</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>.&#x00a0;&#x00a0;This project contains the following underlying data:</p>
                <list list-type="bullet">
                    <list-item>
                        <label>- </label>
                        <p>raw data.csv (all estimates generated from the above listed sources)</p>
                    </list-item>
                </list>
            </sec>
            <sec>
                <title>Extended data</title>
                <p>This project contains the following extended data:</p>
                <list list-type="bullet">
                    <list-item>
                        <label>- </label>
                        <p>raw data - supp material.tab (Comparison between International Center for Equity in Health estimates for modern contraceptive use and data from World Bank)</p>
                    </list-item>
                </list>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero "No rights reserved" data waiver</ext-link> (CC0 1.0 Public domain dedication).&#x202f;&#x00a0;</p>
                <p>Demand for family planning satisfied by modern methods in selected countries</p>
                <p>Data from publicly available health surveys, standardized by the International Center for Equity in Health/Pelotas, Brazil</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>The author would like to thank Hoda Rashad for her support with the identification of relevant documents related to the Egyptian progress in family planning coverage.</p>
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    <sub-article article-type="reviewer-report" id="report32855">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.15416.r32855</article-id>
            <title-group>
                <article-title>Reviewer response for version 3</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Gaffikin</surname>
                        <given-names>Lynne</given-names>
                    </name>
                    <xref ref-type="aff" rid="r32855a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1610-3800</uri>
                </contrib>
                <aff id="r32855a1">
                    <label>1</label>School of Medicine, Stanford University, Stanford, CA, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>24</day>
                <month>1</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Gaffikin L</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport32855" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13570.3"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>After reviewing this latest version with its various changes, my recommendations have been successfully/adequately addressed and my final assessment is approved for indexing. The only comment I would make is that there are a few typos/syntactical errors remaining that need to be corrected before final online posting.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Public health practitioner and epidemiologist with expertise in factors affecting family planning programming, barriers and use in low-resource settings globally.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report32687">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.15400.r32687</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Gaffikin</surname>
                        <given-names>Lynne</given-names>
                    </name>
                    <xref ref-type="aff" rid="r32687a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1610-3800</uri>
                </contrib>
                <aff id="r32687a1">
                    <label>1</label>School of Medicine, Stanford University, Stanford, CA, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>18</day>
                <month>10</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Gaffikin L</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport32687" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13570.2"/>
            <custom-meta-group>
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        <body>
            <p>
                <bold>Question 1: Is the work clearly and accurately presented and does it cite the current literature? </bold>
            </p>
            <p> </p>
            <p> The work seems accurately presented given the data sources, analysis findings and references cited. However, I would consider modifying the title to say 
                <italic>potential</italic> pathways.&#x00a0;</p>
            <p> </p>
            <p> The keywords listed are family planning, contraception, reproductive health, health equity and universal access. While family planning is a known contributor to reproductive health, I would consider excluding reproductive health as a keyword as the article focuses on family planning/contraception. Also, the article focuses considerably on gender and contraceptive use inequality which I would suggest as more appropriate under keywords than health equity.</p>
            <p> </p>
            <p> Regarding the references, #31 and #33 are the same &#x2013; is this intended? And, reference #67 needs correcting. It says Bertrand BJT; it should be read as Bertrand JT.</p>
            <p> </p>
            <p> In terms of clarity, the article notes that the reason for selecting the 6 countries was based on previous evidence including reference to a 2018 sister publication (on which the two authors were also co-authors) that looked at countries lagging behind on contraceptive use (Ewerling 
                <italic>et al.</italic>, 2018
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-32687-1">1</xref>
                </sup>).</p>
            <p> </p>
            <p> Of note, Table 1 from reference #8 does not include Ethiopia or Rwanda - two countries in the current analysis - as having the highest mDFPS of countries in that region. There are good reasons why the 6 countries were selected but as 6 is a small number, and the paper points to these countries as success stories, it would be useful to have more details on the rationale for their selection of these 6.</p>
            <p> </p>
            <p> Throughout the article the authors refer to vulnerable groups, disadvantaged groups and vulnerable areas. Vulnerable is thus one term that is not clearly defined early in the article nor consistently used. The sister article notes subgroups requiring special attention to include women who are poor, uneducated/illiterate, young, and living in rural areas. If this is how vulnerable women is being defining in this article, this should be clearly noted under the study population discussion.</p>
            <p> </p>
            <p> </p>
            <p> 
                <bold>Question 2: Is the study design appropriate and is the work technically sound? </bold>
            </p>
            <p> </p>
            <p> The design is a two-part descriptive analysis: one, based on an analysis of multiple datasets and two, literature review-based case studies of the 6 countries. The selection of factors for the first analysis assumes that the indicator mDFPS (modern contraceptive use prevalence &#x2013; also called coverage) may be affected by changes over time in population levels of extreme poverty, gender inequality, and contraceptive method mix (short, long, permanent) and inequalities in household wealth, women&#x2019;s age, and their level of education. The paper would benefit from the authors explaining in a little more detail why these were selected as factors affecting coverage (in part, referring to the need for a definition of vulnerable).</p>
            <p> </p>
            <p> In the background section, the authors note how lack of knowledge about family planning practices and access to contraceptive methods do not seem to be the main barriers to contraceptive use, even in the world&#x2019;s poorest countries. Rather, they note that family planning is strongly dependent on beliefs and practices reflecting local social and cultural norms which vary widely across contexts. This is an insightful comment justifying more research/assessments into relevant social and cultural norms. Reference to the importance of social norms was a conclusion of their 2018 sister article. To this point, I was anticipating that the design and analysis of this paper would delve deeper into an assessment of specific social and cultural norms affecting modern family planning use coverage. Gender inequality, one of the contextual factors studied, reflects persistent/prevalent norms and it is understood that the authors were constrained by the availability of quantitative data in terms of their selection of factors to analyze. However, to link more closely to the background rationale for this study, I suggest that the authors expand their description of contextual factors to highlight how these factors qualify as social/cultural influences and where their study specifically addresses social and cultural norms. The paper would similarly benefit from such an explanation being incorporated more clearly into the introduction of the case study section.&#x00a0;</p>
            <p> </p>
            <p> Regarding the latter, the authors note that country case studies were included to provide additional political and sociocultural context. However, the two were written as disparate descriptive analyses without much cross reference. If each case study aims to help interpret the results of their initial analyses, I would consider reversing the flow of the paper so that the case studies come first. Either way, I suggest that there be some/more cross reference between the two write ups to help the reader better see connections between the two parts, thereby justifying the two-part design of the paper.&#x00a0;</p>
            <p> </p>
            <p> </p>
            <p> 
                <bold>Question 3: Are sufficient details of methods and analysis provided to allow replication by others? </bold>
            </p>
            <p> </p>
            <p> The authors provide good detail on the formula used for their coverage indicator (mDFPS) and define most terms well for the reader. One exception is the authors&#x2019; use of CMPO in their mDFPS estimate formula to represent modern contraceptive use prevalence. It would be useful for this definition to be noted more clearly in a formula footnote. Of note, to better understand some study decisions, I had to periodically refer to the sister article in which they also defined/clarified some of the methods used and results that informed this article.</p>
            <p> </p>
            <p> The authors provide a detailed list of which methods were considered modern in their analysis and a reference for this decision (#28).&#x00a0; Of note, this list does not concur with more recent definitions by WHO and the DHS viz inclusion of some methods e.g., fertility awareness methods such as Standard Days - a discrepancy noted by the authors. Given this discrepancy, and the potential for different levels of readership familiarity with the changing definition of modern methods over time, it would be useful for the authors to note 
                <italic>higher up</italic> in the article (in the text or a footnote) that differences exist in which methods are now considered modern by different researchers and /or have been historically included in mCPR, as well as the authors&#x2019; rationale for excluding methods now currently considered modern by some researchers.</p>
            <p> </p>
            <p> It is assumed that the values incorporated in their mDFPS formula for CMPO and method-specific use were derived anew from the source datasets (not the aggregate and method-specific mCPR initially calculated by other researches using the same datasets). However, the paper would benefit from the authors clarifying this as values for modern contraceptive use prevalence will differ in different reference documents, reflecting differences in what is considered a modern method. Similarly, the indicator CPR initially analyzed from source datasets may have had a different denominator (married/women in union) versus all sexually active women. The authors note this difference, but the paper could benefit from this being clarified more within the methods section.</p>
            <p> </p>
            <p> </p>
            <p> 
                <bold>Question 4: If applicable, is the statistical analysis and its interpretation appropriate?</bold>
            </p>
            <p> </p>
            <p> This is a descriptive, ecological study and thus no tests for statistical associations were involved.</p>
            <p> However, in Part 1,
                <underline> </underline>statistical analyses were used to develop a wealth score, assigned to each household in which women were interviewed, divided into five, equally sized groups, weighted by the number of household residents. The wealth score involved principal component analyses, estimated separately according to area of residence (as they felt that relevant assets could vary by area), later combined into a single score using a regression-based scaling procedure. The authors noted that they considered the survey design in all these analyses (conducted in Stata 16.0) although it is not clear what is meant by this in the context of developing the wealth score. It would thus be useful if the authors expanded briefly on this aspect of their analysis.&#x00a0;</p>
            <p> </p>
            <p> The authors use scatter plots to explore changes over time in the indicator mDFPS along with changes in the proportion of the total population living in extreme poverty and population levels of gender inequality. The authors next use graphs and bar charts to evaluate changes over time in mDFPS against changes in the mix of contraceptive methods used in each country, as well as inequalities (according to household wealth, women&#x2019;s age, and women&#x2019;s education) derived from source datasets. The use of scatter plots and graphs/bar charts is a useful means of presenting the results of descriptive analyses. Also, the equiplot graphs allow readers to more easily grasp trends in inequalities and absolute inequality, as represented by the distance between subgroups analyzed.
                <bold> </bold>
            </p>
            <p> </p>
            <p> Interpretation of the figures was straightforward and appropriately represented what the figures revealed.&#x00a0;</p>
            <p> </p>
            <p> </p>
            <p> 
                <bold>Question 5: Are all the source data underlying the results available to ensure full reproducibility?</bold>
            </p>
            <p> </p>
            <p> The authors provide a full list of the original data sources and where/how they obtained access.</p>
            <p> </p>
            <p> </p>
            <p> 
                <bold>Question 6: Are the conclusions drawn adequately supported by the results?</bold>
            </p>
            <p> </p>
            <p> In places, the authors say that there was concomitant increase in coverage and select contextual factors which is appropriate wording.&#x00a0; In other places, the authors say a factor 
                <italic>contributed</italic> to coverage increase which is not fully borne out by the methods employed. More appropriate wording would be to say that the factors potentially or possibly contributed to the observed changes in coverage.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Public health practitioner and epidemiologist with expertise in factors affecting family planning programming, barriers and use in low-resource settings globally.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-32687-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Demand for family planning satisfied with modern methods among sexually active women in low- and middle-income countries: who is lagging behind?</article-title>.
                        <source>
                            <italic>Reprod Health</italic>
                        </source>.<year>2018</year>;<volume>15</volume>(<issue>1</issue>) :
                        <elocation-id>10.1186/s12978-018-0483-x</elocation-id>
                        <fpage>42</fpage>
                        <pub-id pub-id-type="pmid">29510682</pub-id>
                        <pub-id pub-id-type="doi">10.1186/s12978-018-0483-x</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report32680">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.15400.r32680</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Diniz</surname>
                        <given-names>Carmen Simone Grilo</given-names>
                    </name>
                    <xref ref-type="aff" rid="r32680a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0069-2532</uri>
                </contrib>
                <aff id="r32680a1">
                    <label>1</label>Department of Health, Life Cycles and Society, Public Health School, University of S&#x00e3;o Paulo, S&#x00e3;o Paulo, Brazil</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>17</day>
                <month>10</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Diniz CSG</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport32680" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13570.2"/>
            <custom-meta-group>
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                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
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        </front-stub>
        <body>
            <p>The revised text is in line with the suggestions made. I am satisfied with the end result.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>I cannot comment. A qualified statistician is required.</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Public Health, Reproductive Health and Rights, Gender, Maternal health</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report32468">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14839.r32468</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Diniz</surname>
                        <given-names>Carmen Simone Grilo</given-names>
                    </name>
                    <xref ref-type="aff" rid="r32468a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0069-2532</uri>
                </contrib>
                <aff id="r32468a1">
                    <label>1</label>Department of Health, Life Cycles and Society, Public Health School, University of S&#x00e3;o Paulo, S&#x00e3;o Paulo, Brazil</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>10</day>
                <month>10</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Diniz CSG</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport32468" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13570.1"/>
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        </front-stub>
        <body>
            <p>The article &#x201c;Learning from success cases: ecological analysis of pathways to universal access to reproductive health care in low- and middle-income countries&#x201d; begins by considering that access to family planning is a human right and that different countries and national international organizations have committed to expanding its coverage. The objective of the article was to investigate which contexts facilitate the implementation of these policies in recent decades.</p>
            <p> </p>
            <p> The authors analyzed data from surveys conducted in Egypt, Ethiopia, Rwanda, Afghanistan, Brazil and Ecuador, based on publicly available data. They analyze the characteristics of different contexts in terms of women's empowerment, degrees of extreme poverty, and types of contraceptives. Among the findings, they show that the use of modern methods of contraception varies from 38% in Afghanistan to 94% in Brazil, and is related to both gender inequality and extreme poverty.</p>
            <p> They conclude that increased use of modern methods of contraception was associated with reduced poverty and gender inequality.</p>
            <p> </p>
            <p> My only suggestion is a change in the title: instead of &#x201c;Learning from success cases: ecological analysis of pathways to universal access to reproductive health care in low- and middle-income countries&#x201d; it should be &#x201c;Learning from success cases: ecological analysis of pathways to universal access to family planning care in low- and middle-income countries&#x201d;, as this is the only aspect of the vast topic of reproductive health they address.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>I cannot comment. A qualified statistician is required.</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Public Health, Reproductive Health and Rights, Gender, Maternal health</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
