Unisanté Data repository

This scoping review aims to gather and analyze existing digital Patient Decision Aids (PtDAs) for cancer prevention targeting socially disadvantaged women.

Active smoking remains a major confounding factor in occupational epidemiology studies. When individual smoking data are unavailable or incomplete in registry-based studies or retrospective analyses, indirect adjustment using job-exposure matrices (JEMs) provides an approach to control for smoking confounding based on occupational and demographic characteristics. The Swiss Job-Exposure Matrix for Active Smoking (SJEM-T) is a validated quantitative tool providing smoking probability estimates for specific occupational groups. The SJEM-T was developed using Swiss Health Survey data from four waves (2007, 2012, 2017, 2022), comprising approximately 60,000 workers. Smoking probabilities were estimated using logistic regression with current smoking status as the dependent variable, stratified by occupation (ISCO-88), sex, age group, and year. The matrix provides estimates for 12,160 unique strata. Dual validation (internal and criterion in independent cohorts) was performed.

In response to growing interest in local action to promote public health and quality of life, this study explores how municipalities perceive their role in health promotion (HP), how far HP is integrated into municipal policies, and what support is needed to strengthen local action.