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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181 to 190 of 230 Results
Tabular Data - 420 B - 8 Variables, 12 Observations - UNF:6:8mKv7MbV1PWArSiqdp+57w==
Data
UNHCR dataset
Jun 23, 2023
Archie, Samantha; Evens, Emily, 2023, "Uptake of RH and MNCH services during the first year of the COVID-19 pandemic in Uganda – R4S study #4.3", https://doi.org/10.7910/DVN/UZA02M, Harvard Dataverse, V1
This study tracked the impact of the COVID-19 pandemic on the availability of products and reproductive health (RH) / family planning (FP) and maternal, newborn and child health (MNCH) service delivery and use. It also documented adjustments and innovations to bridge gaps in service provision and uptake during the pandemic. The study gathered quant...
Adobe PDF - 154.0 KB - MD5: 61c66ec7b22f2e4cb5cf150e77908164
informed consent
Informed consent form
Adobe PDF - 179.4 KB - MD5: 1e4a467613ae378dcd9e373cb4a13eda
data documentation
Documentation
Adobe PDF - 109.4 KB - MD5: 620642a1268ac3a4bd6d15f63a03caa1
data collection instrument
guidance for extraction of data from DHIS2
Adobe PDF - 229.0 KB - MD5: b07419b08827a3037e7f087fdb760f16
data collection instrument
key informant interview guide
Adobe PDF - 193.6 KB - MD5: 703cd8ce57a763426956630017cf5c1a
data collection instrument
key informant interview guide
Adobe PDF - 196.5 KB - MD5: e02f03cc01f3a75b3220edbb279efe84
data collection instrument
key informant interview guide
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