A two way view of gender bias in medicine
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It isn't true, couldn't be; there must be other variables not taken into account that confound the results." This was the remark of an incredulous psychiatrist colleague to the statement that there is reasoned evidence of inequalities in health care based on patient gender.His re- action aligns with that of health professionals' and researchers' longing for simplicity in out- comes and also with a contemporary style of data analysis.It is not unusual to hear state- ments like his when criticisms are voiced about health services for women compared to men.This editorial comment considers how health care contributes to the health inequalities as- sociated with gender, a question addressed by many since the WHO European Report in 1990.16There are two ways in which health service delivery and research can involve gender biasfirstly, by assuming that women's and men's health situations and risks are similar, when in fact they are not, and secondly, by assuming differences where there are actually similarities.Actions and research that follow either approach may influence women's health outcomes in negative ways.An increasing num- ber of scientific papers on gender bias in the past five years has intensified the debate be- cause results often confirm the hypothesised presence of inequity.Yet there remain some conceptual, methodological, and empirical lim- itations that keep the picture hazy.
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These two traditional approaches have given rise to the emergence of two types of health practices identified as the main causes of inequality and inequity in health.
“These two traditional approaches have given rise to the emergence of two types of health practices identified as the main causes of inequality and inequity in health (Jiménez, 2014; Ruiz & Verbrugge, 1997).”
From Health From a Gender Perspective (2017) · cites this paper as Ruiz & Verbrugge, 1997
The passage labeled Abstract (page not provided) describes two approaches to gender-biased health service delivery: assuming similarity where women and men differ, or difference where they are similar. It says practices following either approach may negatively affect women’s health and contribute to gender-related inequity, but does not identify them as the main causes of inequality and inequity in health generally. (LLM, conf=0.85)
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From gender bias to gender awareness in medical education
Verdonk, P., Benschop, Y. W. M., de Haes, H. C. J. M., & Lagro-Janssen, T. L. M. (2009) · Advances in Health Sciences Education · doi:10.1007/s10459-008-9100-z · Cited by 225 · see citing works
Health From a Gender Perspective
Sánchez-López, M. P., & Limiñana-Gras, R. M. (2017) · The Psychology of Gender and Health · doi:10.1016/b978-0-12-803864-2.00001-8 · Cited by 12 · see citing works
- Authors
- Ruiz, M. T., & Verbrugge, L. M.
- Affiliations
- University of Alicante (ES)
- ORCID
- Ruiz, M T
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 1997-04
- Volume
- 51
- Issue
- 2
- Pages
- 106-109
- ISSN
- 0141-7681 (ISSN-L)
- 0143-005X
- 1470-2738
- PMC
- PMC1060427
- OpenAlex
- W2095236471
- Cited by
- 170
- References
- 1
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 11 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 13 · 2019: 1 · 2018: 8 · 2017: 7 · 2016: 5 · 2015: 6 · 2014: 3 · 2013: 5 · 2012: 11
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Epidemiology & Community Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Social Sciences › Gender Studies › Diversity and Career in Medicine
- Social Sciences › Sociology and Political Science › Gender, Health, and Social Inequality
- Keywords
- gender bias, gender disparities in health care, women's health, sex differences in health, health disparities, women's health services, health research methodology, confounding variables
- MeSH terms
- Chronic Disease, Delivery of Health Care, Female, Humans, Male, Morbidity, Prejudice, Research Design, Risk Factors, Sex Factors, Social Perception, Women's Health
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