In this article, the authors assess the relationship between the spatial organization of healthcare services and the stigmatization of people living with HIV in Zambia and South Africa. CHWs were involved in collecting data and providing their own insights into how patients experience facility spaces.
The authors assess community health workers’ visibility within a technological space. They argue that mHealth makes CHW’s work more visible by showing their use of mHealth and data systems in different locations and making their data accessible beyond their direct supervisors.
The findings presented in this article assess the practicality of training CHWs to conduct high quality verbal autopsies that can be analyzed to estimate disease burden and mortality in resource-constrained settings.
This article describes the feasibility of developing real-time, village-based health surveillance of an epidemic of Nodding syndrome (NS) using software-programmed smartphones operated by minimally trained lay mHealth reporters in northern Uganda.
To support quality CHW program design and implementation, USAID, UNICEF, the Community Health Impact Coalition, and Initiatives Inc. have updated and adapted the Community Health Worker Assessment and Improvement Matrix (CHW AIM) Program Functionality Matrix tool. This tool can be applied at district, regional, and national levels to identify and close gaps in design and implementation and, ultimately, enhance program performance.
The Community Health Systems (CHS) Catalog is a one-stop ‘shop’ for information on community health policies and programs across 25 countries, including extensive information on CHWs. Developed in 2014 and updated in 2017, it provides policymakers, program managers, researchers and donors with policy data to advance community health research, programming, and advocacy efforts. The CHS Catalog includes 25 country profiles, a set of infographics, and a summary of cross-country policy and program trends.
A report written by the Clinton Health Access Initiative in Zambia detailing key gaps in supervision and mentorship in Zambia's Community Health Assistants Program and presenting practical recommendations to address them.
As access to mobile technologies expands, improving their effective use is key to strengthening data. This article discusses emerging lessons from rural Rwanda on CHW use of mobile technologies for health interventions. Technical characteristics such as reminders and alerts were seen to be the strongest predictors towards use, while user characteristic (age) did not influence use. Programme characteristics, specifically supervision and training, had mixed findings.
This report shows the preliminary results of the USAID SQALE Program model for quality improvement at a community level. Community health volunteers have improved reporting, community engagement with the health care system, and efficiency and performance.