This dataverse contains data generated by the Research for Scalable Solutions (R4S) project. R4S is a 5-year project funded by USAID led by FHI 360 and its partners, Evidence for Sustainable Human Development Systems in Africa (EVIHDAF), Makerere University School of Public Health (MakSPH), Population Services International (PSI) and Save the Children. The objective of R4S is to strengthen generation and utilization of evidence to increase access to voluntary family planning.
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Tabular Data - 31.2 KB - 51 Variables, 307 Observations - UNF:6:mKlHWVXQsRgGlyfbnlpm9Q==
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Informed Consent
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Informed Consent
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Informed Consent
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Informed Consent
Nov 21, 2024
Lorenzetti, Lara; Nelson, Felicity; Sullivan, Alexis; Karn, Abhishek; Adhikari, Ramesh, 2024, "Supporting Measurement and Replication Techniques for Family Planning High Impact Practices: As Assessment of the Scale, Reach, Quality and Cost of Implementation in Nepal - R4S study #2.6", https://doi.org/10.7910/DVN/GNHMEH, Harvard Dataverse, V2, UNF:6:ntJu0WJTa6fMhbdfUyiJPw== [fileUNF]
This mixed-methods study was conducted on the Community Health Worker (CHW) and Immediate Postpartum Family Planning (IPPFP) High Impact Practices (HIPs) in Nepal. IPPFP readiness assessments were conducted in 140 facilities and with 270 providers in a subset of 7 districts, CHW readiness assessments were conducted across 21 eligible facilities wit...
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