ArticleInternational journal for equity in health2024
Perceived discrimination in health care in Germany- results of a population survey.
Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Does an app make patients happy? Impact of a novel medical history app on patient satisfaction in urgent care consultations in Germany: cluster-randomized interventional trial 'DASI'.BMC health services research · 2026Trial
- Social Marketing for Health Equity: Promoting Preventive Health Behavior Among Women in Rural Communities.International journal of environmental research and public health · 2026Article
- Discrimination and Health: Results of the Panel 'Health in Germany' 2024.Journal of health monitoring · 2026Article
- Intersectional analysis of discrimination on perceived job insecurity among young Chinese women-based on FsQCA method.Scientific reports · 2025Article
- Interpersonal discrimination experiences in outpatient care are associated with non-adherence - results of a population survey in Germany.BMC public health · 2025Article
- Article
- Impact of care guilt on the health status of female medical staff: a cross-sectional study.International journal for equity in health · 2025Article
- The use of nonpharmacological interventions for chronic pain treatment in community-dwelling older adults with a certified need for care.BMC geriatrics · 2024Article
- Social disparities in access and quality of consultation in outpatient care in Germany.BMC primary care · 2024Article
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Authors and funding
2 authors.
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Abstract
backgroundIt has consistently been shown that perceived discrimination is associated with adverse health outcomes. Despite this uncontested relevance, there is a lack of research on the experiences of discrimination in health care. Therefore, the following research questions were addressed: (1) How often do people in Germany report having been discriminated in health care due to different reasons? (2) Which socio-demographic groups are most afflicted by perceived discrimination in health care?
methodsAnalyses are based on a cross-sectional online survey conducted in Germany. An adult population sample was randomly drawn from a panel which was recruited offline (N = 2,201). Respondents were asked whether they have ever been discriminated in health care due to the following reasons: age, sex/gender, racism (i.e. migration history, religion, language problems, colour of skin), health issues or disability (i.e. overweight, mental illness/addiction, disability), socio-economic status (SES, i.e. income, education, occupation).
results26.6% of the respondents reported discrimination experiences. Perceived discrimination due to health issues or disability was most frequent (15%), followed by age (9%) and SES (8.9%). Discrimination due to racism and sex/gender was less frequently reported (4.1% and 2.5%). Younger age groups, women, and 2nd generation migrants as well as respondents with low income and low education were more likely to report any kind of discrimination in health care. Two groups were found to be at special risk for reporting discrimination in health care across different reasons: women and younger age groups. Discrimination due to racism was more prevalent among respondents who have immigrated themselves than those who were born in Germany but whose parents have immigrated. Discrimination due to SES was significantly associated with (low) income but not with education.
conclusionsMore than a quarter of the adult population in Germany reported experiences of discrimination in health care. Such experiences were more frequent among lower SES groups, migrants, women, and younger people. Results underline the necessity of interventions to reduce the magnitude and consequences of discrimination in health care. Future studies should apply an intersectional approach to consider interactions between social inequality indicators regarding discrimination and to identify risk groups that are potentially afflicted by multiple discrimination.
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