Paper 1: Demand-driven rapid reviews for health policy and systems decision-making: lessons from Lebanon, Ethiopia, and South Africa on researchers and policymakers' experiences.

BACKGROUND: Rapid reviews have emerged as an approach to provide contextualized evidence in a timely and efficient manner. Three rapid review centers were established in Ethiopia, Lebanon, and South Africa through the Alliance for Health Policy and Systems Research, World Health Organization, to stimulate demand, engage policymakers, and produce rapid reviews to support health policy and systems decision-making. This study aimed to assess the experiences of researchers and policymakers engaged in producing and using rapid reviews for health systems strengthening and decisions towards universal health coverage (UHC). METHODS: Using a case study approach with qualitative research methods, experienced researchers conducted semi-structured interviews with respondents from each center (n = 16). The topics covered included the process and experience of establishing the centers, stimulating demand for rapid reviews, collaborating between researchers and policymakers, and disseminating and using rapid reviews for health policies and interventions and the potential for sustaining and institutionalizing the services. Data were analyzed using thematic analysis. RESULTS: Major themes interacted and contributed to shape the experiences of stakeholders of the rapid review centers, including the following: organizational structural arrangements of the centers, management of their processes as input factors, and the rapid reviews as the immediate policy-relevant outputs. The engagement process and the rapid review products contributed to a final theme of impact of the rapid review centers in relation to the uptake of evidence for policy and systems decision-making. CONCLUSIONS: The experiences of policymakers and researchers of the rapid review centers determined the uptake of evidence. The findings of this study can inform policymakers, health system managers, and researchers on best practices for demanding, developing and using rapid reviews to support decision- and policymaking, and implementing the universal healthcare coverage agenda.

Measuring health science research and development in Africa: mapping the available data.

BACKGROUND: In recent years there have been calls to strengthen health sciences research capacity in African countries. This capacity can contribute to improvements in health, social welfare and poverty reduction through domestic application of research findings; it is increasingly seen as critical to pandemic preparedness and response. Developing research infrastructure and performance may reduce national economies' reliance on primary commodity and agricultural production, as countries strive to develop knowledge-based economies to help drive macroeconomic growth. Yet efforts to date to understand health sciences research capacity are limited to output metrics of journal citations and publications, failing to reflect the complexity of the health sciences research landscape in many settings. METHODS: We map and assess current capacity for health sciences research across all 54 countries of Africa by collecting a range of available data. This included structural indicators (research institutions and research funding), process indicators (clinical trial infrastructures, intellectual property rights and regulatory capacities) and output indicators (publications and citations). RESULTS: While there are some countries which perform well across the range of indicators used, for most countries the results are varied-suggesting high relative performance in some indicators, but lower in others. Missing data for key measures of capacity or performance is also a key concern. Taken as a whole, existing data suggest a nuanced view of the current health sciences research landscape on the African continent. CONCLUSION: Mapping existing data may enable governments and international organizations to identify where gaps in health sciences research capacity lie, particularly in comparison to other countries in the region. It also highlights gaps where more data are needed. These data can help to inform investment priorities and future system needs.