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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1 to 10 of 16 Results
Dec 18, 2024
Makumbi, Fredrick; Lorenzetti, Lara; Wanyenze, Rhoda, 2024, "Supporting Measurement and Replication Techniques for Family Planning High Impact Practices: As Assessment of the Scale, Reach, Quality and Cost of Implementation in Uganda (R4S study #2.6)", https://doi.org/10.7910/DVN/FVADS2, Harvard Dataverse, V1, UNF:6:AsA5exehDUBntHBJMSPvNw== [fileUNF]
A phased cross-sectional observational study was conducted in Uganda, between 2021 & 2024. We conducted a formative indicator inventory to document the indicators used to monitor HIPs by the implementing partners. Subsequently, three Key informant interviews were conducted with the Ministry of Health (MoH) officials to understand the vertical scale...
Dec 17, 2024
Sabonete, Acacio Jose; Sergio, Chicumbe; Andrade, Rosario; Chidassicua, Jose; Adje, Elihou; Nhanag, Samuel; Fotso, Jean Christophe; Nelson, Felicity; Plotkin, Marya; McGuire, Courtney; Homan, Rick; Rademacher, Kate, 2024, "Supporting Measurement and Replication Techniques for Family Planning High Impact Practices: An Assessment of the Scale, Reach, Quality and cost of Implementation in Mozambique (R4S study #2.6)", https://doi.org/10.7910/DVN/LTTXK9, Harvard Dataverse, V1, UNF:6:ichdbVYcGmnbBFW+gRPOZA== [fileUNF]
This study was conducted in four provinces in Mozambique (Cidade de Maputo, Província de Sofala, Província de Cabo Delgado, and Província de Nampula) and covers the post-abortion FP (PAFP) family planning high impact practice (HIP). This assessment of scale, reach, quality and cost of HIP implementation used a cross-sectional, observational design....
Nov 27, 2024
Fonner, Virginia, 2024, "R4S 1.13- Evaluating the impact of askNivi on contraceptive uptake: A mixed methods study", https://doi.org/10.7910/DVN/OBSFWD, Harvard Dataverse, V1, UNF:6:mKlHWVXQsRgGlyfbnlpm9Q== [fileUNF]
This study originally aimed to evaluate the effectiveness of a digital intervention, askNivi, and outcomes related to family planning, including uptake. askNivi is a “chatbot” that provides access to sexual and reproductive health information, screenings, referrals to products and services, and follow-up support. Prior to conducting the main trial,...
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...
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...
Nov 5, 2024
Fonner, Virginia; Dinh, Nhi, 2024, "R4S/YLabs Baseline & Endline Data for Youth Center Study", https://doi.org/10.7910/DVN/OFHIJE, Harvard Dataverse, V1
This serial cross-sectional study was conducted among youth aged 12-19 who were attending youth centers within Rwanda. Quantitative data were collected at baseline and endline among different cross-sectional study popualtions. The study was conducted by FHI 360, in partnership with YLabs. The study was funded by USAID through the Research for Scala...
Sep 30, 2024
Archie, Samantha; Hoke, Theresa, 2024, "How does Integration of Oral PrEP Affect Family Planning Service Delivery? An Exploratory Assessment in Kenya – R4S study #1.7d", https://doi.org/10.7910/DVN/BWGQVK, Harvard Dataverse, V1, UNF:6:Vjy8FjuVSK3TsSuo23iNIw== [fileUNF]
This study assessed the effect of integrating oral PrEP with FP services in public health sector facilities in Kenya. The study gathered quantitative and qualitative data from 11 family planning facilities from three counties (Kakamega, Kitui, and Nairobi) in 2022. Quantitative data were collected through client exit interviews, service statistics...
Sep 30, 2024
Bidashimwa, Dieudonne; Tolley, Elizabeth E.; Kedebe, Kalkidan; McLain, Grace; Chen, Mario; Zan, Trinity; Brunie, Aurélie; Thapa, Basant; Rajbanshi, Sushma; Kibira, Simon P.S.; Amongin, Dinah; Ssenkusu, John; Makumbi, Fredrick; Fotso, Jean Christophe; Prata, Ndola; Adje, Elihou O.; Kadri, Hadiza; Tefouet, Nadia; Muki, Berienis; Nouhou, Abdoul Moumouni; Amadou, Souleymane; Sanoussi, Chaibou; Acharya, Kiran, 2024, "R4S 1.2. An exploratory, mixed methods study of family planning self-care in Nepal, Niger, and Uganda", https://doi.org/10.7910/DVN/JT3BPZ, Harvard Dataverse, V1, UNF:6:uwbHxtrD9/IOo+qXl7yE+w== [fileUNF]
This study aimed to generate evidence on understanding of, perceptions of, and experiences with self-care in family planning amongst women, men, providers, and community leaders to inform the development or refinement of self-care guidelines. We conducted a cross-sectional concurrent mixed-method study, including surveys and in-depth interviews, wi...
Jul 27, 2024
Little, Kristen M.; Prata, Ndola; Kpebo, Denise Djoukou Olga; Tefouet, Nadia; Fotso, Jean Christophe; Angel, Alexandra; Brittingham, Sarah; Bouanchaud, Paul; Soro, Amadou Donapoho; Dulli, Lisa, 2024, "Mixed-Methods, Cross-sectional Assessment of a Client-facing, Family Planning Counseling Chatbot in Côte d’Ivoire (R4S study # 1.9)", https://doi.org/10.7910/DVN/8O7EWH, Harvard Dataverse, V1, UNF:6:EdKFQs1g3j4tKhkqnwGXxg== [fileUNF]
This mixed-method study was conducted among Counseling for Choice (C4C) family planning (FP) Chatbot users in Côte d'Ivoire in 2023. This cross-sectional study describes user characteristics and perceptions of chatbot usability, content, and relevance, and perceived effects on FP-related self-efficacy. We used a mixed-methods approach including an...
Apr 1, 2024
Raj, Aparna; Dixit, Anvita; Saha, Ananya; Shankar, Lalita; Howard, Susan; Battala, Madhusudana; Khan, Nizamuddin; Saggurti, Niranjan, 2024, "Go Nisha Go Randomized Controlled Trial (R4S study #1.11)", https://doi.org/10.7910/DVN/0TS1LX, Harvard Dataverse, V1, UNF:6:hoNbY3jVad2x1yxVowFamA== [fileUNF]
Serious games have been proven to be effective in health education, but little is known about their role in improving attitude, efficacy, and behavior. Funded by USAID, Go Nisha Go™, is a role-playing game that was designed to improve knowledge, attitude, efficacy, and behavior related to menstruation, contraception, consent, and marriage. To under...
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