Authors: Girdhari Bora, Rajiv Kumar, Ajil Joseph
This study developed a predictive model to identify underperforming community health workers (CHWs) in Uttar Pradesh, India, using data from over 140,000 CHWs. The model accurately pinpointed struggling CHWs and high-risk clusters early, enabling targeted support and resource allocation. This approach can improve CHW performance, motivation, and healthcare outcomes while advancing the use of data and technology in strengthening CHW programs.
Link: Early identification of potentially low performing community health workers using an ensemble classification model
Resource Topic: CHW performance, CHW programs, performance indicators
Resource Type: Qualitative
Year: 2024
Region: Asia
Country: India
Publisher May Restrict Access: Yes
