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 … [Read more...] about Early identification of potentially low performing community health workers using an ensemble classification model
