Stigmatization from Work-Related COVID-19 Exposure: A Systematic Review with Meta-Analysis.
Melanie SchubertJulia LudwigAlice FreibergTaurai Monalisa HahneKarla Romero StarkeMaria GirbigGudrun FallerChristian J ApfelbacherOlaf von dem KnesebeckAndreas SeidlerPublished in: International journal of environmental research and public health (2021)
Stigmatization from work-related COVID-19 exposure has not been investigated in detail yet. Therefore, we systematically searched three databases: Medline, Embase, and PsychInfo (until October 2020), and performed a grey literature search (until February 2021). We identified 46 suitable articles from 24 quantitative and 11 qualitative studies, 6 systematic reviews, 3 study protocols and 1 intervention. The assessment of stigmatization varied widely, ranging from a single-item question to a 22-item questionnaire. Studies mostly considered perceived self-stigma (27 of 35 original studies) in healthcare workers (HCWs) or hospital-related jobs (29 of 35). All articles reported on stigmatization as a result of work-related COVID-19 exposure. However, most quantitative studies were characterized by convenience sampling (17 of 24), and all studies-also those with an adequate sampling design-were considered of low methodological quality. Therefore, it is not possible to determine prevalence of stigmatization in defined occupational groups. Nevertheless, the work-related stigmatization of occupational groups with or without suspected contact to COVID-19 is a relevant problem and increases the risk for depression (odds ratio (OR) = 1.74; 95% confidence interval CI 1.29-2.36) and anxiety (OR = 1.75; 95% CI 1.29-2.37). For promoting workers' health, anti-stigma strategies and support should be implemented in the workplace.
Keyphrases
- coronavirus disease
- sars cov
- systematic review
- mental health
- randomized controlled trial
- healthcare
- depressive symptoms
- social support
- physical activity
- public health
- high resolution
- emergency department
- machine learning
- mental illness
- cross sectional
- social media
- hiv aids
- hepatitis c virus
- health information
- mass spectrometry
- climate change
- quality improvement