Unisanté Data repository

Bus drivers have mutliple ergonomic constraints in the bus cabin. In Switzerkand, we do not have information on the ergonomics of the bus cabin. To fill this gap, we created a Bus-Ergonomics Matrix (BERM) by analogy with the job-exposure matrix (JEM), assuming that the bus corresponds to their workstation. To do this, we first set up a protocol for measuring the ergonomics of bus drivers workstations, based on literature and work standards. Next, we created ergonomic scores divided according to regions of the human body (global, visual, biomechanical, shoulder girdles, upper body, back, lower body). The measurements were carried out on 10 buses representative of the evolution of the Swiss bus fleet. The scores were then modelled using integrated Laplace approximation (INLA) for the entire Swiss bus fleet.

Bus drivers are an occupational group exposed to many hazards. However, little information on their exposure to physico-chemical hazards makes it impossible to study their impact on their poor health. To fill this gap, we created a bus-exposure matrix (BEM) by analogy with the job-exposure matrix (JEM), assuming that the bus corresponds to their workstation. To do this, we measured on ten buses representative of the evolution of the Swiss bus fleet. We then modeled the exposure values using integrated nested Laplace approximation (INLA). We use technical bus characteristics such as engine type, suspension, and gearbox as predictors of exposure values. The BEM contains exposures to whole-body vibration, floor vibration, equivalent noise, peak noise, high- and low-frequency electric fields, low-frequency magnetic fields, air exchange rate, and outdoor/indoor particulate pollution ratios for PM10 and ultrafine particles for 710 bus models.

This project examines clinical skill gaps among healthcare workers in Rwandan primary care settings using data from a digital Clinical Decision Support Algorithm (CDSA) for pediatric care. Analyzing 20,204 consultations across 16 health centers, we identified patterns of measurement omissions and inaccuracies, leading us to observe 188 consultations and conduct interviews to understand causes. Key gaps in basic and complex measurements were found, highlighting the need for targeted training to improve CDSA data quality and enhance patient care. This research informs strategies for effective CDSA use in low-resource settings.

The healthcare professionals (HCPs) part of the Swiss COhort of Healthcare Professionals and Informal CAregivers (SCOHPICA) aims to explore the trajectories and experiences of HCPs in Switzerland, with a focus on identifying factors influencing their well-being and intent to stay in the profession. This cohort, which includes a wide range of HCPs practicing in various health sectors, employs a mixed-methods approach, integrating both quantitative and qualitative data collected using annual online surveys, life calendars, and focus group discussions. First recruitment took place between October 2022 and January 2023. Each following fall, both the follow-up of the included participants and a new recruitment are implemented. By following healthcare professionals over time and identifying factors contributing to their long-term involvement or withdrawal, SCOHPICA will make practical recommendations to enhance the health and sustainability of the healthcare workforce.