Routine family planning data in the low- And middle-income country context: A synthesis of findings from 17 small research grants

Abstract

Health information systems rely on high-quality data to measure, track, and inform decision making. Currently, the quality, uptake, and use of family planning data in routine health information systems is limited, presenting an opportunity for improvement on many levels. The current synthesis assessed findings from 17 small grants that MEASURE Evaluation issued to low- and middle-income country research teams between 2015 and 2019. Main findings from that research were collaboratively categorized in 4 major themes: (1) the enabling environment for managing and using family planning information; (2) barriers to integration of family planning in routine health information systems; (3) gaps in the analysis, interpretation, and use of routine family planning data; and (4) family planning data use in management, programmatic, and budgetary decisions. Data quality at the systemic, organizational, technical, and output levels was a crosscutting theme. Collectively, the findings outline barriers to and opportunities for improved integration of family planning data and subsequent strengthening of routine health information systems.