Keywords
Situational analysis, Health policy, Target Policy Profile, Cameroon, policy makers, policy making,
Situational analysis, Health policy, Target Policy Profile, Cameroon, policy makers, policy making,
In public health, policy refers to health laws and regulations that are aimed at fostering system development for the purpose of achieving defined goals in a given context1,2. According to the United States (US) Centre for Disease Control and Prevention (CDC), policy development is a key public health function and its importance cannot be overstated, given that health policies frequently influence the allocation of resources3,4. Policy development is intricately linked to available scientific evidence, as health policies are generally developed or changed to suit the latest available research evidence on the subject.
Over the past few decades, a considerable amount of scientific research has informed changes in public health policies to suit the rapidly changing global health picture. These changes in policy have been the driving force behind some of the world’s greatest public health achievements5. Despite such commendable progress, considerable challenges persist that hinder further progress, especially in the aspect of translating research findings into policy and, subsequently, everyday clinical practice. This is particularly true for low-and middle-income countries (LMICs), where studies suggest that it takes about two decades for innovative health research to be recommended for widescale adoption and use6. This lengthy delay emanates, in part, from the fact that many LMICs, including Cameroon, lack standardized procedures and tools to connect researchers to policy makers. The lack of such knowledge translation infrastructure underlines the pressing need to establish resilient policy making systems, which will ensure that pertinent information regarding the uptake of new interventions is factored-in in late-stage clinical trials. This inclusion may galvanize rapid uptake and roll out of live-saving interventions, which in turn may help avert several deaths and propel Cameroon towards its sustainable development goals targets.
To improve on the time lag between evidence generation from research, and the development of related health policy in Cameroon, we undertook a comprehensive situational analysis of the policy making process within the Cameroonian Ministry of Public Health (MoH). In this paper, we report the findings of the situational analysis that examined existing gaps in the policy making and leveraged the findings to make a case for the use of the Target Policy Profile (TPoP)7 to enhance and accelerate rational health policy making/change in Cameroon.
Authorization to conduct the survey was obtained from the Minister of Health, who oversees the National Ethics Committee. Participants were only interviewed after they had provided signed informed consent. Respondents were equally informed of their right to quit the interviews at any time, or to skip/not answer any questions they were not comfortable with. Lastly, participant privacy was ensured by anonymizing transcripts and audio recordings and using transcripts solely for the purpose of the study. Recordings were destroyed after transcription was completed.
We conducted a mixed method study (qualitative and quantitative) over a four-month period. The quantitative part consisted of a survey of all health interventions/policies introduced between 2015 and 2020, as well as those planned for introduction across 17 vertical health programs (Table 1) of the MoH. The qualitative part, on the other hand, involved key informant interviews (KIIs), to gain insight on the policy making process and explore the perspectives of policy makers on the barriers to policy making/change in accordance with available scientific evidence. Proposals on ways to facilitate policy making and change were equally explored during the KIIs.
This study was conducted in Cameroon, a country in the central part of Africa. Cameroon has shown, over the years, to be capable of creating and maintaining good partnership with stake holders and engaging discussions around key topics linked to global development goals. The country has aligned its development and health policies with the Sustainable Development Goals (SDGs) (https://sdgs.un.org/goals), making it eligible for grants from numerous Global Health Initiatives (GHI). This has translated into the creation of several vertical health programs, with the role of achieving these objectives within the stated time frame.
This study targeted all individuals involved in the health policy making process within the Cameroonian MoH. Managers of the different health programs were purposefully selected as key informants to be interviewed. This choice was based on the fact that as head of the health program, managers possess the most insight on program policies, vision, goals, and strategies, and are best placed to provide accurate, in-depth perspectives on their respective programs in the most reflexive and articulate manner. In case the manager was not available for the interview, the deputy or closest collaborator was selected.
Quantitative data were collected by a team of five trained data collectors, (all Master of Public Health graduates who received a one-day training on data collection approaches) under the supervision of investigator RT. Quantitative data were extracted from key documents including reports and strategic plans of each health program for 2015–2020 and from 2021 onwards, using an excel sheet designed specifically for this purpose. The columns of the excel sheet captured information on key aspects needed from these documents while the rows indicated the particular document from which the data was extracted. These key documents were identified following a comprehensive desk review, with additional information obtained during interviews with key informants from the respective health programs. Identified key documents were then requested for and obtained as physical copies from the secretariat of the concerned health program (see Table 1 for the list of health programs surveyed). For each program, information was collected on the number of new interventions implemented between 2015 and 2020, the number of interventions/policies planned for introduction in upcoming years (2021 onwards), the policy making process, the tools used, and whether post introduction evaluations were conducted after introduction of a new policy.
Qualitative data were obtained via KIIs. Individuals identified as key informants were called a priori to schedule a suitable date, time, and place at which they could be met for the interview. On arrival at the interview site, the interviewer verified that the interviewee was one of the key informants identified for the interview process. He then went ahead to obtain informed consent from the respondent and proceeded with the interview which lasted an average of one hour. Interviews were done with the aid of a question guide and recorded using a digital audio recording device8. Probing questions were used by the interviewer when necessary to get a deeper insight on responses provided by the interviewee. Pertinent points were jotted down as notes during the interview, which continued until no new information was provided by the respondent, at which point the interview was ended. Data collected were revised by the study team at the end of each day to better fit the local context and subsequent interviews.
Data gathered during KIIs were transcribed verbatim and checked for accuracy by the study team9. Recordings were destroyed once transcription was completed. Data were coded and analyzed using inductive thematic analysis, given that not much literature is available on the perspectives of individuals involved in health policy making in Cameroon, on the health policy making process in the country nor on the TPoP as a tool to enhance health policy making as it is relatively novel. First, the study team went through the transcripts to familiarize themselves with the data set and concepts within it. This was then followed by the development of a coding structure based on major concepts obtained upon reading through the transcripts. Next, the study team had a more detailed read of the transcripts during which they mapped statements and responses provided by participants against the different concepts of the coding structure, using a binary method (1: concept highlighted in the statement, 0: concept absent from statement). Similar concepts were then grouped together into broader groups or themes notably the policy making process, gaps in the policy making process, proposed solutions to identified barriers, feedback on the TPoP as tool to enhance policy making. To reduce any risks related to bias, the coding and thematic analysis of transcripts was done by several members of the study team and reviewed by the principal investigator.
A total of 18 interviews were conducted, one (transcript 16) with the technical advisor and representative of the Minister of Public Health, and the other17 with a representative from each health program,the majority (70.6%) of them being males. All survey respondents were involved in the health policy making process at the national level and were still in active service at the Ministry of Public Health (MoH) at the time of the study. Overall, respondents had an average of 6.5 years’ experience in the health policy making process in Cameroon.
Table 2 shows the policies/interventions introduced between 2015 and 2020, as well as those planned for introduction from 2021 onwards, across the surveyed programs. A total of 26 key documents were reviewed during the data extraction process. As can be seen, a relatively small number of interventions/policies were introduced over the past five years, and an even smaller number are planned for introduction during the upcoming years. The Malaria control program introduced the highest number of policies/interventions (06) between 2015 and 2020. This was closely followed by the National HIV/AIDS Control Program and the Expanded Program on Immunization (EPI), which both introduced five policies/interventions during the same period. With regards to planned policies for introduction, the EPI led the way with four policies/interventions planned for introduction from 2021 onwards.
The decision-making process for changing or introducing a new policy/intervention is shown in Figure 1. The process generally begins with informal discussions between a development partner and the target health program, and these discussions are often initiated by the latter. These informal discussions then lead to more formal talks, where a business case for a change in policy/intervention is presented to the appropriate policy making body such as the Country Coordinating Mechanism for HIV/AIDS, Malaria, and Tuberculosis or the Inter-Agency Coordinating Committee for vaccines. The business case is then discussed in detail, necessary modifications made, and an approval to introduce/update the policy/intervention given. However, for certain health programs such as the EPI, the introduction of a new policy or intervention follows a more stringent process. For this program, a scientific opinion is sought from the National Immunization Technical Advisory Group (NITAG) before a new vaccine can be introduced. The recommendations issued by the NITAG are then presented to the Inter-agency Coordinating Committee for approval. From here on, a common pathway is followed, where approval of the intervention leads to the preparation of an introduction plan, outlining how the policy/intervention will be implemented. This document aids in resource mobilization, which are in turn used to drive the introduction process.
It is important to highlight that not all business cases or interventions presented to the appropriate body are approved for introduction.
Four major gaps were identified in the health policy making process. First, the policy making process appeared to be unstandardized, with most of the surveyed programs lacking a standard methodology and tools for policy making. For instance, one participant noted that “…the general impression raises questions about the consistency of the process”. Another mentioned that “…to the best of my knowledge, the process seems to be standardized only within the scope of the Health Sector Strategy and for some programs like the EPI”.
Second, there seemed to be limited use of available evidence in the policy making process. One respondent mentioned that "Instructions from hierarchy lead to new policies at the expense of evidence, which is less utilised’’. Another further noted that “most of the local data used for policy making is often unreliable”.
Third, there was a considerable lack of post introduction evaluations for newly introduced policies/interventions. For instance, one respondent noted that “the culture to conduct post introduction evaluations is yet to be adopted in our setting”.
Finally, we noted a general lack of ownership of the policy making process by the state. The process is generally initiated and led by a development partner, and it most often does not involve all the stakeholders, as noted by one respondent “the process is mainly led by technical and financial partners and is not inclusive enough for all stakeholders”.
In addition to these barriers, other factors impeding proper policy making were identified. These included health system barriers such as the lack of adequate and trained human resources for policy making, lack of financial resources to support the policy making process, and weak governance to lead and coordinate the entire process. External barriers were also noted, including frequent changes within the MoH, social upheavals and infrastructural challenges amongst others. A detailed outline of these barriers, as well as proposed solutions is presented in Table 3.
Following the assessment of the policy making process, the TPoP was presented to respondents to obtain their feedback on the part the tool could play in enhancing the process. There was great optimism from respondents regarding the tool, with all 17 assessed programs expressing their interest in using it for rational policy making. For instance, one respondent mentioned that ‘‘the tool is a very interesting and useful one. Very relevant in the domain of knowledge translation which is a neglected field in our setting’’.
Another respondent noted that ‘‘…our decision makers are waiting for WHO or other organizations to develop the policy they are going to implement. It is a big step to develop the policy and this tool can be of great interest by guiding the process’’.
One respondent further highlighted that ‘‘…one major issue is the implementation of policies after their development. This tool tries to deal with the issue by advising to involve the decision makers at the beginning of the process and during all the process. That may surely improve the ownership and therefore the likelihood of utilization of the policy’’.
Building upon the feedback and information obtained from respondents, we identified five potential use cases for the TPoP which are summarized in Table 4. As illustrated, the use cases ranged from researchers using the TPoP to identify policy relevant research questions, to using the tool to develop a standardized method to appraise new policies/interventions and developing a policy implementation and evaluation guide. Potential amendments that could be made to the tool to render it more context specific and increase the likelihood of its utilization are highlighted in Table 5.
The present situational analysis aimed to achieve four specific objectives, namely: map out the current health policy making process in Cameroon; identify and characterize existing gaps in the process in order to develop informed, appropriate, context specific solutions; leverage on results obtained to make a case for the use of the TPoP as a standardized tool to enhance and accelerate rational health policy making/change in Cameroon; and obtain feedback from key stakeholders on the TPoP and use this information to propose use cases and context specific amendments.
With regards to policy/intervention introduction, we found that a relatively small number of interventions/policies were introduced between 2015 and 2020 across the assessed programs, with a smaller number planned for introduction during the upcoming years. This could be attributable to a couple of reasons. First, information regarding policies/interventions introduced and those planned for introduction were not readily available in the strategic plans and reports for a considerable number of the assessed programs. Also, study respondents had little information on policies/interventions planned for introduction within their respective health programs. The second reason is the considerable time it takes for health interventions/policies to transition from research and development to effective implementation6. A study conducted by Brooks et al. assessing the interval between approval and introduction of four vaccines and a malaria intervention revealed that five years following approval, no low-income country had introduced the vaccines, while only 7% had introduced the malaria intervention10. A decade after approval, only 4% had introduced the vaccine against 37% for the malaria intervention10. Such a considerable time gap between intervention/policy approval and introduction would imply that only a few interventions can be introduced over short time frames like that assessed in our study (5 years). Improving dialogue between researchers and policy makers could help reduce this time gap, which in turn will accelerate the translation of research findings into policy and clinical practice. This could help curb morbidity and mortality figures in most developing countries, including Cameroon.
Regarding barriers to policy making and introduction of interventions, we identified four main factors that impede the health policy making process in Cameroon. These factors included the lack of standardized process and tools, limited use of available evidence, lack of ownership of the process by the state, and the lack of post-introduction evaluations. Addressing these barriers could be pivotal in enhancing health policy development and implementation. However, for these barriers to be properly addressed, their root causes will need to be identified and targeted strategies developed in collaboration with all relevant stakeholders11,12. The lack of post-introduction evaluation observed highlights the pressing need for regular policy/intervention assessment. This could help identify underlying policy issues and lead to an in-depth policy review and the subsequent cascade of events that could terminate in policy change13. The presence of these process barriers could be explained by the lack of standardized guidelines and tool to guide the policy making process. The use of a standardized tool can ensure that research conception and design align to public health needs, and that results obtained from such works are relevant for policy making. This could make the process more standardized, evidence based, and quicker, such that life-saving policies/interventions get to the point of care as soon as possible. The TPoP is one of such tools that could help close this gap, as it can enable focused discussions with all relevant stakeholders14,15.
On presentation of the TPoP to respondents, most of them felt the tool would help address the observed shortcomings in the health policy making process via several ways. First, it would provide a standard appraisal methodology that could be used to develop criteria for the appraisal of new policies/interventions, such that only policies/interventions meeting specific criteria are approved for introduction. This appraisal may focus on several parameters such that only cost-effective and context specific policies/interventions are approved for introduction. This may help improve on the methodology for policy making. Furthermore, the TPoP would provide a medium for researchers to identify policy relevant research, directly discuss the results of such research with policy makers, while guiding the course of these discussions as well. This would result in more evidence-driven policies/interventions. In addition, the TPoP will equally help to improve effective policy implementation, as it encourages engaging decision-makers at the beginning and throughout the research process. This engagement can enhance policy ownership and the likelihood of policy utilization. Our respondents indicated that the TPoP can enhance both policy formulation and implementation within their respective health programs and were optimistic about integrating the tool into the policy making process of their programs. However, effective use of the tool will require that policy makers be trained on its content and use cases.
We leveraged findings from this study and our professional experience to propose a new model for enhancing policy making and implementation in Cameroon. We believe that this model (Figure 2) may render the policy making process in Cameroon more rational, standardized, and evidence driven. The model will also enhance dialogue between policy makers and researchers. In the model, entities interested in triggering a policy change (for instance the World Health Organization (WHO), manufacturers, and technical and development partners) will address correspondence to the MoH. The MoH will then seek a scientific or informed opinion from a national expert body designated a priori for such a purpose. This body will then review and assess the proposed intervention, using a standardized appraisal methodology and tool, such as the TPoP. Using the TPoP will equally ensure that policies/interventions for which positive feedback is given by the national expert body to the MoH, align with the current health sector strategy, thereby increasing the probability and speed of uptake of the policy/intervention, as well as its ownership by the state. Upon review of the feedback from the national expert body, the MoH will be better-informed to endorse, reject or demand modifications to the policy/intervention. Feedback is then provided by the MOH on its decision regarding the policy/intervention, alongside corresponding justification, to the entity (WHO, manufacturers, and technical development partners) which triggered the case for a new policy or policy change. If the request was for the implementation of a policy/intervention, the MoH will endorse the request and have it incorporated into a strategic document (strategic plan), which will then be used to mobilize the necessary resources for the effective implementation of the policy/intervention. Lastly but not the least, the model also foresees the conduct of post-introduction evaluations, to assess the level of implementation of the policy/intervention.
Several challenges impeded the data collection process, limiting the exhaustiveness of the information gathered, synthesized, and presented herein. First, despite numerous efforts (paying a courtesy visit to program permanent secretaries, friendly reminders using phones calls, emails, messages) four programs did not contribute to the expected level because of conflicting priorities, as personnel of these programs were on the field for other activities. Furthermore, some government officials were reluctant to disclose information which they considered as confidential, even though we obtained a support letter from the Minister of Public Health, encouraging respondents to provide as much information as necessary.
The health policy making process in Cameroon faces numerous challenges including lack of standard methodology and tools for decision making. A simple tool such as the TPoP can help resolve some of these challenges by; providing a standard method for appraising policies/interventions, improve dialogue between researchers and policy makers, encourage involvement of policy makers throughout the research process; provide a guide to assess policy/intervention implementation among others. Continued advocacy will be needed to help stakeholders understand the value proposition of the TPoP and training sessions will be required to get them acquainted with the tool and its various use cases. This will facilitate the endorsement of the tool by policy makers for adoption and utilization in Cameroon and hopefully other Sub-Saharan African countries.
US: United States.
CDC: Centre for Disease Control and Prevention.
LMICs: Low- and middle-income countries.
TPoP: Target Policy Profile.
BMGF: Bill and Melinda Gates Foundation.
SA: Situational Analysis.
KIIs: key informant interviews.
MoH: Ministry of Public Health.
Figshare: Data from: Health policy making process in Cameroon: a case for the utilization of the Target Policy Profile. https://doi.org/10.6084/m9.figshare.19664286.v19.
This project contains the following underlying data:
Figshare: Interview guide: Health policy making process in Cameroon: a case for the utilization of the Target Policy Profile. https://doi.org/10.6084/m9.figshare.197620998.
This project contains the following extended data:
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Conception of study: YS, OW; literature review: YS, RT, AF, CM; data collection: RT, RN, HBB; data management and analysis: RT, RN, CM; write-up of initial manuscript: YS, CM; manuscript revisions: OW, HBB, AF. All authors read and approved the final version of the manuscript.
The authors would like to appreciate valuable contributions from Shawn Dolley and Thea Norman in the production of this manuscript. Our sincere gratitude also goes to the study respondents for taking time out of their busy schedules to participate in the interviews, and the health programs assessed for their extensive collaboration throughout the data collection process.
This study resulted from a project funded by the Bill and Melinda Gates Foundation. The authors would therefore like to thank the foundation for its financial assistance. Even though this study was funded by the Bill and Melinda Gates Foundation (BGMF), the BGMF was in no way involved in the conception and design of this study and did not influence its results or intellectual content.
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Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Not applicable
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
References
1. Buse Kent, Mays N, Walt G: Making Health Policy. Maidenhead. Berkshire: Open University Press. 2012.Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Health Policy and politics, evidence and policy
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Health Policy Research, Community Engagement in research, Health Policy Experiments, empirical research methods in bioethics.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
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Version 1 07 Jun 22 |
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