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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61 to 70 of 230 Results
Nov 5, 2024
Burke, Holly; Nicholes, Samuel; Austin, Gwyneth; Little, Kristen; Demise, Eden, 2024, "Exploratory research on Malawi’s National Emergency Contraception Strategy (R4S Study 1.14)", https://doi.org/10.7910/DVN/GOGSV8, Harvard Dataverse, V2, UNF:6:c2fX40W1SaMRTlDDc2r8TA== [fileUNF]
This mixed methods study was conducted from November 2022–March 2023 in 2 rural districts (Mchinji and Phalombe) implementing the strategy. We conducted qualitative interviews with 10 national stakeholders, 46 providers, and 24 clients aged 15–24 years about ECP service delivery. Additionally, 25 providers collected quantitative tally data about cl...
Adobe PDF - 321.8 KB - MD5: 365ff5d0019c5c051edde8ccc8766b0d
data collection form
Client IDI guide
Adobe PDF - 120.8 KB - MD5: 1de5906ca8053b939d42e16327f1380b
informed consent form
Informed consent form Client IDI
Adobe PDF - 118.3 KB - MD5: 77b79bb99ba4ce57b68fffe40b810610
informed consent form
Informed consent form Key Informant
Adobe PDF - 119.1 KB - MD5: 88cf006a6fecc6cb98d290b0cee608f7
informed consent form
Informed consent form Program Managers semi-structured interview
Adobe PDF - 270.0 KB - MD5: c66f78514afd12da933436be40a38ecc
data collection form
Interview guide key informants
Adobe PDF - 297.5 KB - MD5: ebcea6bc6cd3281de1922bd2b9f2b8d5
codebook
codebook - client IDI
Adobe PDF - 249.0 KB - MD5: 5f12767d233d070d4eb0cdda857b5466
codebook
codebook - key informants
Adobe PDF - 386.9 KB - MD5: df07988518100864e8a13615aa878347
codebook
codebook - Program Managers semi-structured interview
Adobe PDF - 43.8 KB - MD5: 7a73a4fdc26297572706975771e7d672
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