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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

71 to 80 of 230 Results
Semi-structured Guide_FINAL.pdf
Nov 5, 2024 - Exploratory research on Malawi’s National Emergency Contraception Strategy (R4S Study 1.14)
Adobe PDF - 257.0 KB - MD5: 70da056f0c328ed709ffa16d75cf7f4d
data collection form
interview guide - Program Managers semi-structured interview
HIPs_Nepal_Codebook_CHW_HealthFacility_ServiceProvider.pdf
Nov 5, 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
Adobe PDF - 501.7 KB - MD5: 381ab1b0d09e7878af3c374e85c41cfb
Codebook
HIPs_Nepal_Codebook_KII.pdf
Nov 5, 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
Adobe PDF - 134.3 KB - MD5: 4a479796bad0559b98f4317949828809
Codebook
HIPs_Nepal_Data_Documentation.pdf
Nov 5, 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
Adobe PDF - 234.4 KB - MD5: bf932adb8f281b66ff108919eefbdbf7
Data Documentation
HIPs_Nepal_Dataset_CHW.tab
Nov 5, 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
Tabular Data - 57.8 KB - 139 Variables, 197 Observations - UNF:6:OJkiycB7quMYjMU4HTXamA==
Data
HIPs_Nepal_Dataset_IPPFP_Health_Facility.tab
Nov 5, 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
Tabular Data - 76.3 KB - 175 Variables, 140 Observations - UNF:6:R6uO/l7WQqeyChxxBH5mFw==
Data
HIPs_Nepal_Dataset_IPPFP_Service_Provider.tab
Nov 5, 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
Tabular Data - 110.4 KB - 106 Variables, 270 Observations - UNF:6:Pqb7wDKB8Tj48CWzq6+cZw==
Data
HIPs_Nepal_DCF_CHW.pdf
Nov 5, 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
Adobe PDF - 363.2 KB - MD5: b4c10acaa2b9c6acb85872889d508784
Data collection form
HIPs_Nepal_DCF_IPPFP_Health_Facility.pdf
Nov 5, 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
Adobe PDF - 368.5 KB - MD5: ab4306c325d034eec54bb0846b57dd3f
Data collection form
HIPs_Nepal_DCF_IPPFP_Service_Provider.pdf
Nov 5, 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
Adobe PDF - 305.6 KB - MD5: 249ce1e5c7b3150ecb30f999bc68fce1
Data collection form
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.