The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)

Background

Family planning use has been recognized as a tool for population growth control and a working tool allowing women to control their own reproduction and become more economically active. This is especially relevant in sub-Saharan Africa where population growth, the number of births per woman, and maternal and infant mortality are higher than elsewhere around the globe. In Benin despite recent progress, high maternal mortality persists. With an overall decrease of 29.7% in 15 years, maternal mortality ratio has decreased from 576 to 405 maternal deaths per 100,000 live births over the Millennium Development Goals (MDG) time (between 1990 and 2015) (WHO et al., 2015) in Benin. Early age mortality risks are also challenging. The rate of drop in under 5 years’ age mortality was 44 % (annual rate of reduction 2.4%) from 180 deaths per 1,000 live births in 1990 to 100 deaths per 1,000 live births in 2015. High neonatal mortality persists. Globally, the neonatal mortality rate fell from 36 deaths per 1,000 live births in 1990, to 19 in 2015 and was higher in Benin. With an overall drop of 30.4%, neonatal mortality fell from 46 deaths per 1,000 live births in 1990 to 32 in 2015. The number of under five years’ deaths in Benin was 37,000 in 2015, compared to 39,000 in 1990. Neonatal mortality alone accounts for about one third of all deaths below the age of five years. In 2015, 12,000 neonatal deaths were recorded, while in 1990 10,000 were recorded (UNICEF, 2015). According to Benin’s census conducted in 2013, half of Beninese aged 6 years or above were illiterate (literacy rate of 6 years or above was 50.6%). Meanwhile, primary schooling rate (6 – 11 years, net) was 56.9 %, and secondary schooling rate (12 – 19 years, net) was 37.4 % (INSAE, 2016).

Over the past decades, maternal health and child survival have been improving steadily, while the number of children per women remains high in Benin. The current population growth rate between the last two census (2002 and 2013) was 3.5 % (4.8 % in urban area and 2.6 % for rural area). As a result, Benin has a high child dependency ratio resulting in the population be projected to still be growing till the end of the century. The population increased from 2,419,644 in 1960 (World Bank, 2013) to 10,008,749 in 2013 (INSAE, 2015), and according to UN projections, will grow to 22,549,000 by 2050, and 35,544,000 by 2100 (United Nations, 2015). Due to the country’s high fertility, Benin has a large young population in comparison to other countries in sub-Saharan Africa, with more than half (54 %) of its population under the age 20. Benin’s age structure remains very young, dominated by dependents (young dependency ratio – 0–14 years: 46,7 % and old dependency ratio – 65 years and above: 2,7 %) (INSAE, 2016). The number of births per woman fell from 7 in 1980 to about 5 (4.8) in 2013. The lower level of contraceptive prevalence rate accounts the higher fertility rate. Benin’s demographic and health surveys (BDHS) conducted in 2001, 2006 and 2011/2012 reported the following rates of modern contraceptive prevalence among women in union 6.8%, 6.7% and 8.8% respectively. Meanwhile, traditional contraceptives uptake has decreased, falling from 10.8% in 2001, to 9.8% in 2006, and 5.0% in 2011/2012. However, knowledge of contraceptive methods is relatively high in Benin. Most women (85%) investigated during the 2011/2012 DHS knew at least one contraceptive method (INSAE & ICF, 2013).

Recently, the benefits of family planning use have become a core component of the new concept, demographic dividend, developed to highlight supports that changes in age structure of a population could provide for the economic development of that country. The concept has, then, become a key component drawing attention of policy makers where potential economic benefits of the demographic dividend and the policies required to achieve it are well-documented at the global level. An empirically sound projection model that can be readily applied in any high- fertility country to project demographic dividend (Moreland et al., 2014) is now available.

Applied in Kenya’s context, the model reported that increasing access to and use of family planning will save the lives of more than 5 million children and 350,000 mothers, and balance Kenya’s age structure, with the working – age population growing to 73 percent of the total population in 2050 (NCPD & HPP, 2014). In Uganda, changes in family planning use was among the three leading scenarios providing the country the maximum advantage for demographic dividend harnessing. To maximise the demographic dividend (socioeconomic transformation envisaged in vision 2040), investments in family planning and female education to reduce fertility and the high child-dependency burden were revealed among the key areas (Uganda National Planning Authority, 2014). In Cameroon, the advantages in meeting family planning needs among women are numerous; first, the current use of contraceptive (in 2014) decreased the worst outcomes of pregnancy and childbirth related complications (avoided unwanted pregnancies representing 900 maternal deaths averted) to about 11 % to 17 % relative to a situation of no use of contraceptive. Additionally, if the current needs in family planning among Cameroonian females are met at 50%, unplanned pregnancies will be reduced by 38 % (about 187,000 unplanned pregnancies averted) each year, 95,000 unplanned births will be averted, as well as 65,000 induced abortions and 600 maternal deaths (Vlassoff et al., 2014).

Although the Demographic Dividend Model (Health Policy Project and USAID, 2014) provides means to evaluate the impacts of policies from different sectors including FP, education and economic), the focus of this study is single sector policies. Single sector policies contribute to development and are measurable. Moreover, even though the demographic dividend model used is conceived for multisector impact evaluation, it also allows to examine the impact of single sector policies. This study applied the DemDiv (Health Policy Project and USAID, 2014), to explore the impact of family planning policy options in Benin for maternal health and child survival over the Sustainable Development Goals time (2015~2030). More specifically, it explored maternal and child deaths that could be averted between 2015 and 2030 based on three family planning policy options.

Methods

Results

Even with the focus of family planning sector alone, the modelling exercise provided benefits of family planning use as those underlying more sectors highlighted in other settings (NCPD & HPP, 2014; Uganda National Planning Authority, 2014; Vlassoff et al., 2014). The modelling exercise shows that under the base scenario, however unrealistic, with no improvements in FP, education and economic variables, the fertility rate would remain the same in 2030 as it was 2015 – about 4.5 children per woman. Benin’s age structure would remain very young and be dominated by dependents – dependency ratio estimated at 77%. In addition, Benin’s Gross Domestic Product per capita will remain lower than the level of each of the three FP scenario.

In contrast, the benefits of family planning use for maternal health and child survival vary drastically in proportion of the level of achievement in access to and use of contraceptives – the greater the achievement, the greater the dividends in term of gains in maternal and child deaths averted. Table 3 presents the benefits of family planning use for maternal health according to the three family planning options. Its benefits for under five year children are presented in Table 4, while Table 5 presents the gain for children below the age of one year. Overall, by the end of SDGs time, improvements in family planning uptake alone keeping all other policy variables constant would help avert approximatively between 2,000 and 10,000 maternal deaths according to family planning hypotheses.

According to the hypothesis of the lowest change in family planning based on the previous increases taking modern contraceptive prevalence rate from 7.9% in 2010 to 12.9% by 2030, about two thousand (2,019) maternal deaths will be averted. The moderate hypothesis, conciliating pessimists (low hypothesis) and most optimists (based on current family planning 2020 commitments) projecting modern contraceptives use to reach the level of 23.43% by 2030, a total of 6,401 maternal deaths will be averted while 9,965 mothers will be saved from dying maternal deaths if commitments and actions take modern contraceptives use to the level 33.95% within the same period. Under this assumption, more than two out of every five maternal deaths will then be averted by 2030. Indeed, under the base case scenario of no improvement in FP, education and economic, a total of 24,161 maternal deaths will be recorded between 2015 and 2030, while the achievement of the optimistic hypothesis will record 14,196 maternal deaths (Table 3). Increasing access to and use of family planning will save the lives of approximatively 200,000 children under 5 years by 2030 (121,763 for the moderate hypothesis and 36,430 for the low one) if actions and commitments meet optimistic expectations (Table 4). For infant mortality, the gains will be 22,230; 74,216 and 120,934 for low, moderate and optimistic hypothesis respectively (Table 5).

The decrease in maternal and under five year children deaths implies a decrease in risks of mortality of both mother and child. A drastic decrease in maternal and child risks of mortality will be then recorded in proportion of the changes in family planning use. Figure 1 shows the estimates in maternal mortality ratio according to the three different family planning scenario. The optimistic scenario of high achievement in modern contraceptives use will reduce the maternal mortality ratio from its current level (340 per 100,000 life births) to 207.5 maternal deaths for every 100,000 life births. The risk of maternal death will then be reduced by 39%. According to the moderate hypothesis, maternal mortality ratio will be expected to drop to the level of 265.6 maternal deaths for 100,000 live births while under the low hypothesis, about 300 mothers out of every 100,000 will still be dying during pregnancy and childbirth (Figure 1).

Figure 1. Estimates in maternal mortality ratio.

Source: Data from DemDiv outputs 

Like maternal mortality ratio, under five-year mortality rate decreases by increasing family planning uptake. Figure 2 presents the distribution of the estimates of under-five mortality rate between 2015 and 2030 according to the three different family planning options. A high increase in modern contraceptive use will reduce the under-five mortality rate by 42.6 deaths per 1,000 life births relative to its current level, 75 deaths per 1,000 life births (2015). The achievement of the low hypothesis will reduce the under-five mortality risk by 10% by 2030.

Figure 2. Estimates in under five-year mortality ratio.

Source: Data from DemDiv outputs.

In addition of its positive impact for both maternal health and child survival, family planning uptake is also revealed to have numerous others positive impacts for human development in Benin. Among them, the creation of a large work force, which, is well-educated and in good health will enhance the economic productivity of the country. Under the optimistic scenario, Benin will record about three (3.48) children per woman by 2030, where woman will gain about five years more on their current life expectancy (increasing from 61.5 years in 2015 to 66.8 in 2030). As a result, Benin will have its human development indicator increased from 0.37 to 0.40 within the same time.

Conclusion and policy implications

Family planning is the heart of the demographic dividend concept even if all three components (family planning, education, and economy) of the concept are dependents and requiring work across sectors. High demand for children, low family planning uptake and high maternal and child mortality were among the main challenges that Benin faces in its efforts for socioeconomic development of the country by reducing fertility. The current study examined the benefits of FP use focusing on its benefits for both mothers and children below the age of five years using Demographic Dividend Model (DemDiv) created by the Health Policy Project. To avert thousands of maternal and children deaths and undergo a steady fertility decline to reach an age structure concentrated into the working ages, Benin must strengthen policies toward voluntary family planning programmes enabling couples to realise their reproductive preferences while simultaneously improving education and economic environments. Under an unrealistic scenario of no improvement in education and economic, family planning use alone which was the focus of the current investigation will save lives of thousands of mothers and children and contribute to the economic environment improvement and population well-being. Under the most optimistic scenario based on Benin government’s Family Planning 2020 (FP2020) commitments increasing modern contraceptive rate to just 33.95% by 2030, Benin will save lives of about 10,000 mothers from dying maternal deaths and about 200,000 children from dying preventable deaths before their fifth birthday.

Despite such results, the gains will be much greater when policies reach the two other areas needed to fully harness the demographic dividend - namely investments in human capital and the implementation of sound economic policies and investments in high-quality education as well as vocational training - are needed to harness the dividend that the changes in age structure resulting from fertility decline will provide.

Data availability