This study highlights how qualitative data and mechanism maps can improve the understanding of why health programs succeed or fail. Using a community health worker (CHW)-led gestational diabetes (GDM) screening program in Pune, India, as an example, researchers identified factors that increased screening uptake, such as CHWs' support and education efforts. However, treatment … [Read more...] about Generalizing from qualitative data a case example using critical realist thematic analysis and mechanism mapping to evaluate a community health worker-led screening program in India
India
A Community-Driven Approach to Rural Healthcare: Lessons from the CHE Model
This case study looks at how India’s rural areas face healthcare challenges due to a lack of qualified professionals and changing health needs. It highlights the Community Health Entrepreneurs (CHEs) model, developed by the Healing Fields Foundation, where rural women are trained to provide preventive care, collect health data, and offer telehealth support. CHEs play a key role … [Read more...] about A Community-Driven Approach to Rural Healthcare: Lessons from the CHE Model
Assessing Challenges and Sources of Dissatisfaction among Accredited Social Health Activists Employees
Accredited Social Health Activists (ASHAs) are key to healthcare in rural India but face significant challenges, as seen in a study of 150 workers in Aligarh, Uttar Pradesh. Major issues include delayed payments (70%), heavy workloads (92%), poor training (71%), and inadequate facilities (97%). Many report harassment (95%), high stress (89%), and tough working conditions (73%). … [Read more...] about Assessing Challenges and Sources of Dissatisfaction among Accredited Social Health Activists Employees
Early identification of potentially low performing community health workers using an ensemble classification model
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
Adapting and deploying a digital program for training non-specialist providers on a brief psychological intervention for depression in rural Gujarat, India
A pilot study in Gujarat, India, tested a digital training program for community health workers and frontline providers to deliver a brief depression care intervention. Of the 43 participants, 91% completed the training, showing improved knowledge scores after the course. Despite technical challenges, participants found the digital format useful. The study suggests digital … [Read more...] about Adapting and deploying a digital program for training non-specialist providers on a brief psychological intervention for depression in rural Gujarat, India