Automated Organization Profile

FHI 360, Durham, NC

Current S-Index

1.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.2

Average Dataset Index per dataset

Total Datasets

1

Total datasets in this organization

Average FAIR Score

50.0%

Average FAIR Score per dataset

Total Citations

0

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Mixed-Methods, Cross-sectional Assessment of a Client-facing, Family Planning Counseling Chatbot in Côte d’Ivoire (R4S study # 1.9) (Version: 1.0)

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 online survey and in-depth interviews (IDI) with C4C chatbot users, and chatbot back-end data. Between January 11 – July 15, 2022, we recruited 280 chatbot users for the survey, of whom 28 completed an IDI. Data from the IDIs are not included in the package. This study was made possible by the American People through the U.S. Agency for International Development (USAID), provided to FHI 360 through Cooperative Agreement 7200AA19CA00041 to implement Research for Scalable Solutions. Partners on this work included Evidence for Sustainable Human Development Systems in Africa, and Population Services International.

Authors

  • 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
0 Citations0 Mentions50% FAIR0.3 Dataset Index
10.7910/dvn/8o7ewh2024