Advancing health through evidence assisted decisions with health policy and systems research program: a qualitative evaluation of a national health research grant management process in the Philippines.

BACKGROUND: Health policy and systems research (HPSR) has influenced Philippine policies, including tobacco control, mental health, and COVID-19. The Department of Health (DOH) Philippines and Philippine Council for Health Research and Development (PCHRD) launched the Advancing Health through Evidence-Assisted Decisions (AHEAD) with HPSR program in 2017, aiming to build a community of researchers and decision-makers committed to evidence production and utilization. Research systems employ grant management processes for transparency and accountability in research funding, preventing waste, fraud, and misuse of funds. METHODS: This study evaluated AHEAD-HPSR's grant management using surveys, interviews, and focus groups to document (1) grant administration processes implemented by DOH and PCHRD, and (2) experiences of grantees, program managers, staff, and policymakers. Data were initially analyzed through the USA Grant Accountability Office's Federal Grant Life Cycle, with new themes created as they emerged. The study identified processes and gaps in the research grant life cycle stages: design/redesign, pre-award, award, implementation, closeout, and research dissemination and utilization. RESULTS: Identification of research areas for the grant are identified using national and departmental research priorities. While Calls for Proposals are posted publicly, researchers that have previously worked with policymakers are contacted directly to submit proposals. The evaluation found that research is delayed by bureaucracies in grant administration, particularly in financial reporting and ethics review processes. Complying with the terminal financial report was identified as the most challenging part of the grant process due to immense auditing requirements. Grantees recommend the simplification of bureaucracy for fund release to enable them to focus on research work. CONCLUSION: This study contributes to the limited literature on health research grant management in developing countries. Valuable information and recommendations were contributed by stakeholders in this evaluation. These are manifestations of a continuing interest and desire to make health policy and systems research in the Philippines more robust and relevant. It is imperative for the program to continually evolve and build systems most applicable to its multidisciplinary context.

The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines.

Schistosomiasis (SCH) in The Philippines is caused by Schistosoma japonicum and remains endemic in 28 provinces in 12 regions. Effective SCH control requires describing areas at risk where control efforts may be focused. This study aims at demonstrating the utility of geographical information system (GIS) as a tool for SCH surveillance in the province of Davao del Norte. Qualitative and quantitative data on SCH determinants, obtained from local government offices, partner agencies and institutions, were standardised, formatted and incorporated into a GIS map. Atrisk areas are described in terms of determinants and (variables), which included geography and climate (topography, temperature and flood-prone areas), agriculture (irrigation and land use), poverty (percentage of households with income below the poverty threshold), sanitation level (percentage of households with sanitary toilets), intermediate and reservoir hosts (presence of snail colonies and reservoir hosts) as well as prevalence and treatment coverage. Endemic villages (barangays) were generally found to be located in flood-prone areas in the lowlands near major rivers. New Corella has the highest poverty index among the SCH-endemic areas studied as well as the highest number of confirmed snail colonies. Among known endemic localities in Davao del Norte, Tagum City was found to be the only city meeting the poverty index target of <16.6%. Clustering of SCH cases were reported in six barangays ranging from 0.48% (8 out of 1,655) in Braulio Dujali to 2% (25 out of 1,405) in Asuncion. This study demonstrates the utility of GIS in predicting and assessing SCH risk, which allows prioritisation and allocation of control resources and delivery of services in areas at the highest risk for SCH.