Recruitment and Attrition for Panel Surveys of Hard-to-reach Populations: Some Lessons from a Longitudinal Study on Undocumented Migrants.

Conducting research among hard-to-reach populations is a difficult endeavor because some of their characteristics are known to be associated with survey nonresponse and panel attrition. In the case of the Parchemins study, which followed undocumented migrants over their process of regularization and during the first years of regularized life in Geneva, we underscore the difficulties in recruiting and keeping respondents who come from such a hard-to-reach population. Factors hindering their participation include the fear of being denounced as undocumented, missing time due to high workload, health issues, or language problems.

Working Conditions and Self-Reported Health Among Undocumented and Newly Regularized Migrants in Geneva: A Cross-Sectional Study.

Most undocumented migrants are employed in so-called "dirty jobs" or "3D jobs" (dangerous, dirty and degrading) due to their lack of legal status. This study aimed to describe the self-reported health of undocumented and newly regularized migrants in relation to their working conditions. A cross-sectional study was conducted using data collected during the first phase of the study (2017-18), a survey that monitors the socioeconomic and health impact of a regularization scheme for undocumented workers in Geneva, Switzerland.

Impact of legal status regularization on undocumented migrants' self-reported and mental health in Switzerland.

Undocumented migrants face cumulative difficulties like precarious living and working conditions or exclusion from health services that might negatively influence their health. Little is known about the evolution of undocumented migrants' self-reported health (SRH) and mental health after they get documented. This study aims to observe the effect of legal status regularization on SRH and mental health in a cohort of migrants undergoing regularization in Geneva, Switzerland.

A dynamic perspective on the evolution of perceived stress levels in Switzerland: drivers before and during the COVID-19 pandemic.

As a major socio-historical event affecting different aspects of life, the COVID-19 pandemic presents a unique opportunity to study how different population groups adapt. We investigate the impact of this crisis on the evolution of perceived stress in the short and medium term in Switzerland, using data of the Swiss Household Panel from 2016 to early 2021, which include annual measures of perceived stress and a study between waves, conducted in May and June 2020 at the end of the first semi-lockdown. Using the longitudinal structure of the data with pre-crisis measurements, we estimate pooled OLS, fixed effects and first difference models, which include socio-demographic variables, life events, socio-economic status, work-related variables, stress-reducing resources and restrictions in place.