Using telehealth to support community health workers in Uganda during COVID-19: a mixed-method study.

BACKGROUND: At the onset of the COVID-19 pandemic, a local consortium in Uganda set up a telehealth approach that aimed to educate 3,500 Community Health Workers (CHW) in rural areas about COVID-19, help them identify, refer and care for potential COVID-19 cases, and support them in continuing their regular community health work. The aim of this study was to assess the functioning of the telehealth approach that was set up to support CHWs during the COVID-19 pandemic. METHODS: For this mixed-method study, we combined analysis of routine consultation data from the call-center, 24 interviews with key-informants and two surveys of 150 CHWs. Data were analyzed using constant comparative method of analysis. RESULTS: Between March 2020 and June 2021, a total of 35,553 consultations took place via the call center. While the CHWs made extensive use of the call center, they rarely asked for support for potential Covid-19 cases. According to the CHWs, there were no signs that people in their communities were suffering from severe health problems due to COVID-19. People compared the lack of visible symptoms to diseases such as Ebola and were skeptical about the danger of COVID-19. At the same time, people in rural areas were afraid to report relevant symptoms and get tested for fear of being quarantined and stigmatized. The telehealth approach did prove useful for other purposes, such as supporting CHWs with their regular tasks and coordinating the supply of essential products. The health professionals at the call center supported CHWs in diagnosing, referring and treating patients and adhering to infection prevention and control practices. The CHWs felt more informed and less isolated, saying the support from the call center helped them to provide better care and improved the supply of medicine and other essential health products. CONCLUSIONS: The telehealth approach, launched at the start of the COVID-19 pandemic, provided useful support to thousands of CHWs in rural communities in Uganda. The telehealth approach could be quickly set up and scaled up and offers a low cost strategy for providing useful and flexible support to CHWs in rural communities.

Substandard and Falsified Medicines: Proposed Methods for Case Finding and Sentinel Surveillance.

The World Health Organization and others warn that substandard and falsified medicines harm health and waste money, especially in low- and middle-income countries. However, no country has measured the market-wide extent of the problem, and no standardized methods exist to estimate the prevalence of either substandard or falsified medicines. This is, in part, because the task seems overwhelming; medicine markets are huge and diverse, and testing medicines is expensive. Many countries do operate some form of postmarket surveillance of medicine, but their methods and goals differ. There is currently no clear guidance on which surveillance method is most appropriate to meet specific public health goals. In this viewpoint, we aimed to discuss the utility of both case finding and risk-based sentinel surveillance for substandard and falsified medicines, linking each to specific public health goals. We posit that choosing the system most appropriate to the goal, as well as implementing it with a clear understanding of the factors driving the production and sale of substandard and falsified medicines, will allow for surveillance resources to be concentrated most efficiently. We adapted principles used for disease outbreak responses to suggest a case-finding system that uses secondary data to flag poor-quality medicines, proposing risk-based indicators that differ for substandard and falsified medicines. This system potentially offers a cost-effective way of identifying "cases" for market withdrawal, enhanced oversight, or another immediate response. We further proposed a risk-based sentinel surveillance system that concentrates resources on measuring the prevalence of substandard and falsified medicines in the risk clusters where they are most likely to be found. The sentinel surveillance system provides base data for a transparent, spreadsheet-based model for estimating the national prevalence of substandard and falsified medicines. The methods we proposed are based on ongoing work in Indonesia, a large and diverse middle-income country currently aiming to achieve universal health coverage. Both the case finding and the sentinel surveillance system are designed to be adaptable to other resource-constrained settings.