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BackgroundWomen who start using contraception ("adopters") are a key population for family planning goals, but little is known about characteristics that predict the adoption of contraception as opposed to current use. We used prospective data from women and facilities for five countries, (Democratic Republic of Congo, India, Kenya, Nigeria, and Burkina Faso) and identified baseline characteristics that predicted adoption of modern contraception in the short term.MethodsWe used data from the Performance Monitoring for Action (PMA) Agile Project. PMA Agile administered service delivery point (SDP) client exit interview (CEI) surveys in urban sites of these five countries. Female clients responding to the CEI were asked for phone numbers that were used for a phone follow-up survey approximately four months later. For our analysis, we used data from the SDP and CEI baseline surveys, and the phone follow up to compare women who start using contraception during this period with those who remain non-users. We used characteristics of the facility and the woman at baseline to predict her contraception adoption in the future.ResultsDiscussing FP with a partner at baseline was associated with greater odds of adoption in DRC (OR 2.34; 95% CI 0.97-5.66), India (OR 2.27; 95% CI 1.05-4.93), and Kenya (OR 1.65; 95% CI 1.16-2.35). Women who discussed family planning with any staff member at the health facility had 1.72 greater odds (95% CI 1.13-2.67) of becoming an adopter in Nigeria. The odds of adoption were lower in Nigerian facilities that had a stockout (OR 0.66 95% CI 0.44-1.00) at baseline. Other characteristics associated with contraception adoption across settings were education, age, wealth, parity, and marital status.ConclusionsCharacteristics of both the woman and the health facility were associated with adoption of modern contraception in the future. Some characteristics, like discussing family planning with a spouse, education, and parity, were associated with contraceptive adoption across settings. Other characteristics that predict contraceptive use, such as health facility measures, varied across countries.

The Performance Monitoring and Accountability 2020 (PMA2020) project implemented a multi-country sub-project called PMA Agile, a system of continuous data collection for a probability sample of urban public and private health facilities and their clients that began November 2017 and concluded December 2019. The objective was to monitor the supply, quality and consumption of family planning services. In total, across 14 urban settings, nearly 2300 health facilities were surveyed three to six times in two years and a total sample of 48,610 female and male clients of childbearing age were interviewed in Burkina Faso, Democratic Republic of Congo, India, Kenya, Niger and Nigeria. Consenting female clients with access to a cellphone were re-interviewed by telephone after four months; two rounds of the client exit, and follow-up interviews were conducted in nearly all settings. This paper reports on the PMA Agile data system protocols, coverage and early experiences. An online dashboard is publicly accessible, analyses of measured trends are underway, and the data are publicly available.