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

191 to 200 of 230 Results
KII Guide - Implementing Partner.pdf
KII Guide - Implementing Partner.pdf
Jun 23, 2023 - Uptake of RH and MNCH services during the first year of the COVID-19 pandemic in Uganda – R4S study #4.3
Adobe PDF - 210.3 KB - MD5: 350d93ca3e897c94d52881a0a23b83d3
data collection instrument
key informant interview guide
KII Guide - Private Provider.pdf
Jun 23, 2023 - Uptake of RH and MNCH services during the first year of the COVID-19 pandemic in Uganda – R4S study #4.3
Adobe PDF - 210.0 KB - MD5: 84947a2de3200e37bc22568866f4bbb4
data collection instrument
key informant interview guide
KII Guide - VHT.pdf
KII Guide - VHT.pdf
Jun 23, 2023 - Uptake of RH and MNCH services during the first year of the COVID-19 pandemic in Uganda – R4S study #4.3
Adobe PDF - 209.6 KB - MD5: 2fbb686ba57a2bdc6b9648dafc96348e
data collection instrument
key informant interview guide
Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Apr 26, 2023
Archie, Samantha; Little, Kristen, 2023, "Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)", https://doi.org/10.7910/DVN/4PHEUT, Harvard Dataverse, V1, UNF:6:yrV8HTzlzakJo5CPJKuXhA== [fileUNF]
This study assessed feasibility, acceptability, and competency development of digital training approach, where the didactic portion of FP clinical training was conducted via a digital platform. It took place in 3 states in Nigeria, Enugu, Kano, and Oyo, between September and December 2021. 62 providers trained in administering copper IUDs from both...
Codebook.pdf
Apr 26, 2023 - Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Adobe PDF - 327.5 KB - MD5: d3c97c3a958fc93d8b1099ecfc537603
codebook
Codebook for data
Data Documentation.pdf
Data Documentation.pdf
Apr 26, 2023 - Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Adobe PDF - 206.6 KB - MD5: 7476c95200c9e1673ba6d0bce4983057
Documentation
Data documentation
Enrollment ICF.pdf
Apr 26, 2023 - Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Adobe PDF - 326.1 KB - MD5: 42cad5e8226c43c32cfbf443fce4489b
informed consent form
Informed consent form for enrollment
Enrollment Survey.pdf
Enrollment Survey.pdf
Apr 26, 2023 - Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Adobe PDF - 224.5 KB - MD5: 0448479d04ac58a1fcefb26ec9d08c57
data collection instrument
Enrollment survey
Enrollment survey.tab
Apr 26, 2023 - Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Tabular Data - 21.6 KB - 45 Variables, 60 Observations - UNF:6:TaB9rx+0BNuUNQfRdgxZhw==
Data
Enrollment survey data
Exit ICF.pdf
Apr 26, 2023 - Hybrid digital hybrid training approach for hormonal IUD in Nigeria (R4S study 2.8)
Adobe PDF - 322.7 KB - MD5: b529d0888bc25d16999bb95d6b9d112f
informed consent form
Informed consent form for exit interview
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.