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Published on: January 12, 2018
Defining Collective Priorities: Research and Learning Agendas for Family Planning Across 6 Countries
Sarah Brittingham1, Trinity Zan1, Kouakou Hyacinthe Andoh2
1FHI 360, Durham, NC, USA.
Abstract:
Evidence should be the foundation for a well-designed family planning (FP) program, but existing evidence is rarely aligned with and/or synthesized to speak directly to FP programmatic needs. Based on our experience cocreating FP research and learning agendas (FP RLAs) in Côte d'Ivoire, Malawi, Mozambique, Nepal, Niger, and Uganda, we argue that FP RLAs can drive the production of coordinated research that aligns with national priorities.To cocreate FP RLAs, stakeholders across 6 countries conducted desk reviews of 349 documents and 106 key informant interviews, organized consultation meetings in each country to prioritize evidence gaps and generate research and learning questions, and, ultimately, formed 6 FP RLAs comprising 190 unique questions. We outline the process for consensus-driven development of FP RLAs and communicate the results of an analysis of the questions in each FP RLA across 4 technical areas: self-care, equity, high impact practices, and youth. Each question was categorized as a learning versus research question, the former indicating an opportunity to synthesize existing evidence and the latter to conduct new research to answer the question. Themes emerging from the data shed light on shared evidence gaps across the 6 countries. We argue that similarities and differences in the questions in each FP RLA reflect the unique implementation experience and context, as well as each country's placement on the FP S-curve. Early uses of the FP RLAs include informing the development of FP costed implementation plans and FP2030 commitments. FP RLAs have also been discussed in multiple thematic working groups. For FP stakeholders, these FP RLAs represent a consensus-based agenda that can guide the generation and synthesis of evidence to answer each country's most pressing questions, ultimately driving progress toward increasingly evidence-based programming and policy.
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