Widening the lens of population-based health research to climate change impacts and adaptation: the climate change and health evaluation and response system (CHEERS).

Background: Climate change significantly impacts health in low-and middle-income countries (LMICs), exacerbating vulnerabilities. Comprehensive data for evidence-based research and decision-making is crucial but scarce. Health and Demographic Surveillance Sites (HDSSs) in Africa and Asia provide a robust infrastructure with longitudinal population cohort data, yet they lack climate-health specific data. Acquiring this information is essential for understanding the burden of climate-sensitive diseases on populations and guiding targeted policies and interventions in LMICs to enhance mitigation and adaptation capacities. Objective: The objective of this research is to develop and implement the Change and Health Evaluation and Response System (CHEERS) as a methodological framework, designed to facilitate the generation and ongoing monitoring of climate change and health-related data within existing Health and Demographic Surveillance Sites (HDSSs) and comparable research infrastructures. Methods: CHEERS uses a multi-tiered approach to assess health and environmental exposures at the individual, household, and community levels, utilizing digital tools such as wearable devices, indoor temperature and humidity measurements, remotely sensed satellite data, and 3D-printed weather stations. The CHEERS framework utilizes a graph database to efficiently manage and analyze diverse data types, leveraging graph algorithms to understand the complex interplay between health and environmental exposures. Results: The Nouna CHEERS site, established in 2022, has yielded significant preliminary findings. By using remotely-sensed data, the site has been able to predict crop yield at a household level in Nouna and explore the relationships between yield, socioeconomic factors, and health outcomes. The feasibility and acceptability of wearable technology have been confirmed in rural Burkina Faso for obtaining individual-level data, despite the presence of technical challenges. The use of wearables to study the impact of extreme weather on health has shown significant effects of heat exposure on sleep and daily activity, highlighting the urgent need for interventions to mitigate adverse health consequences. Conclusion: Implementing the CHEERS in research infrastructures can advance climate change and health research, as large and longitudinal datasets have been scarce for LMICs. This data can inform health priorities, guide resource allocation to address climate change and health exposures, and protect vulnerable communities in LMICs from these exposures.

Electronic logbooks (e-logbooks) for the continuous assessment of medical licentiates and their medical skill development in the low-resource context of Zambia: A mixed-methods study.

Background: Countries in sub-Saharan Africa continue to face insufficient health education resources and facilities, as well as a severe shortage of health care professionals. In 2019, the Levy Mwanawasa Medical University (LMMU) in Lusaka was launched to address the shortage of healthcare professionals implementing a decentralized training model utilizing selected regional and district hospitals in Zambia as training sites for various cadres. Decentralization makes it more challenging to monitor the learning process as part of continuous assessment; consequently, adequate approaches are necessary to ensure the quality and quantity of medical skills training. Electronic logbooks (e-logbooks) provide a promising tool for monitoring and evaluation of the medical training process. Objective: We designed and implemented an e-logbook for Medical Licentiate students based on an existing software system. We evaluated the feasibility of this e-logbook, its acceptability among a cohort of Medical Licentiate students and their mentors, as well as its facilitators and barriers. Materials and methods: During the course of a five-week-long clinical rotation in a training site in Kabwe, Zambia, two mentors and ten students participated in the pilot study and its evaluation. A mixed-methods approach utilized log-based usage data from the e-logbook web platform and conducted semi-structured in-depth interviews. Results: Overall, both students and mentors accepted e-logbooks as a means to monitor skills development in this context, indicating that e-logbooks are a feasible tool in this decentralized setting. Feedback pointed out that the design and software-induced terminology of the e-logbook posed usability issues. The complexity and greater time commitment (mentors used a web-based platform instead of an app) limited the e-logbook's potential. Conclusion: We conclude that there is acceptability of monitoring medical skill development through a tablet-based e-logbook. However, the e-logbook in its current form (based on an existing software system, with limited adaptation possibilities to the local context) was insufficient for the LMMU environment. Given that this was attributable to design flaws rather than technology issues or rejection of the e-logbook as a quality assessment tool in and of itself, we propose that the e-logbook be implemented in a co-design approach to better reflect the needs of students and mentors.