The need to bolster primary health care (PHC) to achieve the Sustainable Development Goal (SDG) targets for health is well recognized. In Eastern and Southern Africa, where governments have progressively decentralized health decision-making, health management is critical to PHC performance. While investments in health management capacity are important, so is improving the environment in which managers operate. Governance arrangements, management systems and power dynamics of actors can have a significant influence on health managers’ ability to improve PHC access and quality. We conducted a problem-driven political economy analysis (PEA) in Kenya, Malawi and Uganda to explore local decision-making environments and how they affect management and governance practices for health. This PEA used document review and key informant interviews (N = 112) with government actors, development partners and civil societies in three districts or counties in each country (N = 9). We found that while decentralization should improve PHC by supporting better decisions in line with local priorities from community input, it has been accompanied by thick bureaucracy, path-dependent and underfunded budgets that result in trade-offs and unfulfilled plans, management support systems that are less aligned to local priorities, weak accountability between local government and development partners, uneven community engagement and insufficient public administration capacity to negotiate these challenges. Emergent findings suggest that coronavirus disease 2019 (COVID-19) not only resulted in greater pressures on health teams and budgets but also improved relations with central government related to better communication and flexible funding, offering some lessons. Without addressing the disconnection between the vision for decentralization and the reality of health managers mired in unhelpful processes and politics, delivering on PHC and universal health coverage goals and the SDG agenda will remain out of reach.

Background Crowdsourcing was recognized as having the potential to collect information rapidly, inexpensively and accurately. U-Report is a mobile empowerment platform that connects young people all over the world to information that will change their lives and influence decisions. Previous studies of U-Report’s effectiveness highlight strengths in the timeliness, low cost and high credibility for collecting and sending information, however they also highlight areas to improve on concerning data representation. EquityTool has developed a simpler approach to assess the wealth quintiles of respondents based on fewer questions derived from large household surveys such as Multiple Indicators Cluster Surveys (MICS) and Demographic and Health Surveys (DHS). Methods The methodology of Equity Tool was adopted to assess the socio-economic profile of U-Reporters (ie, enrolled participants of U-Report) in Bangladesh. The RapidPro flow collected the survey responses and scored them against the DHS national wealth index using the EquityTool methodology. This helped placing each U-Reporter who completed all questions into the appropriate wealth quintile. Results With 19% of the respondents completing all questions, the respondents fell into all 5 wealth quintiles, with 79% in the top-two quintiles and only 21% in the lower-three resulting in an Equity Index of 53/100 where 100 is completely in line with Bangladesh equity distribution and 1 is the least in line. An equitable random sample of 1828 U-Reporters from among the regular and frequent respondents was subsequently created for future surveys and the sample has an Equity Index of 98/100. Conclusions U-Report in Bangladesh does reach the poorest quintiles while the initial recruitment skews to respondents towards better off families. It is possible to create an equitable random sub-sample of respondents from all five wealth quintiles and thus process information and data for future surveys. Moving forward, U-Reporters from the poorly represented quintiles may be incentivized to recruit peers to increase equity and representation. In times of COVID-19, U-Report in combination with the EquityTool has the potential to enhance the quality of crowdsourced data for statistical analysis.