Cited by 184Sex and Gender in HealthcarePatient-Provider Communication in HealthcareDiversity and Career in Medicine

Patient characteristics and inequalities in doctors’ diagnostic and management strategies relating to CHD: A video-simulation experiment

Arber, Sara, McKinlay, John, Adams, Ann, Marceau, Lisa, Link, Carol, O’Donnell, Amy·2006·Social Science & Medicine

Abstract

Numerous studies examine inequalities in health by gender, age, class and race, but few address the actions of primary care doctors. This factorial experiment examined how four patient characteristics impact on primary care doctors' decisions regarding coronary heart disease (CHD). Primary care doctors viewed a video-vignette of a scripted consultation where the patient presented with standardised symptoms of CHD. Videotapes were identical apart from varying patients' gender, age (55 versus 75), class and race, thereby removing any confounding factors from the social context of the consultation or other aspects of patients' symptomatology or behaviour. A probability sample of 256 primary care doctors in the UK and US viewed these video-vignettes in a randomised experimental design. Gender of patient significantly influenced doctors' diagnostic and management activities. However, there was no influence of social class or race, and no evidence of ageism in doctors' behaviour. Women were asked fewer questions, received fewer examinations and had fewer diagnostic tests ordered for CHD. 'Gendered ageism' was suggested, since midlife women were asked fewest questions and prescribed least medication appropriate for CHD. Primary care doctors' behaviour differed significantly by patients' gender, suggesting doctors' actions may contribute to gender inequalities in health.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.socscimed.2005.05.028

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Arbera 2006 found midlife women were asked fewest questions.

    “Midlife women were asked fewest questions and prescribed least medication appropriate for CHD.”
  • Arbera 2006 found midlife women were prescribed least medication appropriate for CHD.

    “Midlife women were asked fewest questions and prescribed least medication appropriate for CHD.”
  • Arbera 2006 found the gender of the patient significantly influenced doctors' diagnostic and management activities.

    “The gender of the patient significantly influenced doctors’ diagnostic and management activities.”
  • Many assumption studies attempted to make their vignettes as realistic as possible by having them validated by clinicians and by having participants view/read the vignettes as part of a normal day at work.

    “many of the assumption studies attempted to make their vignettes as realistic as possible by having them validated by clinicians [25–41] and also by having participants view/read the vignettes as part of a normal day at work [27–36, 39, 41].”
  • Eight articles appeared to refer to the same data collected in a single cross-country comparison study, and a further two articles analysed the same data.

    “eight articles appeared to refer to the same data collected in a single cross-country comparison study [27–32, 34, 35] and a further two articles analysed the same data [45, 47].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 34

  1. Ayanian, J.Z. & Epstein, A.M. (1991). Differences in the use of procedures between women and men hospitalized for coronary heart disease, New England Journal of Medicine , 325, 221-225.
  2. Barnett, E., Armstong, D.L. & Cooper, H.L. (1999). Evidence of increasing Coronary Heart Disease mortality among Black men of lower social class. Annals of Epidemiology . 9(8), 464-471.
  3. Bartley, M., Blane, D. & Davey-Smith, G. (Eds.) (1998). The sociology of health inequalities , Oxford: Blackwell.
  4. Beery, T.A. (1995). Diagnosis and treatment of cardiac disease. Gender bias in the diagnosis and treatment of coronary artery disease, Heart & Lung , 24(6), 427-434
  5. Bernard, M., Itzin, C., Phillipson, C. & Skucha, J. (1995). Gendered work, gendered retirement. In S. Arber. & J. Ginn (eds.) Connecting Gender and Ageing. Buckingham: Open University Press.
  6. Bornstein, B.H. & Emler, A.C. (2002) Rationality in medical decision-making: a review of the literature on doctors' decision-making biases, Journal of Evaluation in Clinical Practice , 7(2), 97-107.
  7. Boulton, M., Tuckett, D., Olson, C. & Williams, A. (1986). Social class and the general practice consultation. Sociology of Health and Illness . 8(4), 325-350.
  8. Cochran, W.G. & Cox G.D. (1957). Experimental designs , 2 nd edn. London: John Wiley and Sons.
  9. Council on Ethical and Judicial Affairs, American Medical Association (CEJA) (1991). Gender disparities in clinical decision making. Journal of the American Medical Association . 266 (4), 559-562.
  10. Davey-Smith, G., Hart, C., Watt, G., Hole, D. & Hawthorne, V. (1998). Individual social class, area-based deprivation, cardiovascular disease risk factors, and mortality: the Renfrew and Paisley Study, Journal of Community Health , 52, 399-405
  11. Feldman, H.A., McKinlay, J.B., Potter, D.A., Freund, K.M., Burns, R.B. & Moskowitz, M.A. (1997). Non-medical influences on medical decision-making: An experimental technique using videotapes, factorial design, and survey sampling, Health Services Research , 32(3), 343-365.
  12. Forrest, B. (2003) Primary care gatekeeping and referrals: effective filter or failed experiment? British Medical Journal , 326, 692-695.
  13. Graham, H. (ed.) (2000). U nderstanding health inequalities . Buckingham: Open University Press.
  14. Hetemaa, T., Keskimaki, I., Manderbacka, K., Leyland, A.H. & Koskinen, S. (2003). How did the increase in the supply of coronary operations in Finland affect socioeconomic and gender equity in their use, Journal of Epidemiology and Community Health , 57, 178-185.
  15. Hippisley-Cox, J. (2004) Inequalities in access to care for patients with ischaemic heart disease, British Journal of General Practice , 54, 411-412.
  16. Hippisley-Cox, J. & Pringle, M. (2000) Inequalities in access to coronary angiography and revascularisation: the association of deprivation and location of primary care services, British Journal of General Practice , 50, 449-454.
  17. Hippisley-Cox, J., Pringle, M. Crown, N., Meal, A. & Wynn, A. (2001) Sex inequalities in ischaemic heart disease in general practice: cross sectional survey, British Medical Journal, 322, 832.
  18. Jackson, G. (1994) Coronary artery disease and women, British Medical Journal , 309, 555-557.
  19. Keskimaki, I., Koskinen, S., & Salinto, M. (1997). Socioeconomic and gender inequities in access to coronary artery bypass grafting in Finland, European Journal of Public Health , 7, 392-7.
  20. Lawlor, D.A., Ebrahim, S. & Davey Smith, G. (2002a). A life course approach to coronary heart disease and stroke. In D. Kuh & R. Hardy (Eds.) A life course approach to women's health (pp. 86-120) . Oxford: Oxford University Press.
  21. Lawlor, D.A., Ebrahim, S. & Davey Smith, G. (2002b). Role of endogenous oestrogen in aetiology of coronary heart disease: analysis of age related trends in coronary heart disease and breast cancer in England and Wales and Japan, British Medical Journal , 325, 311-312.
  22. Locock, L (2000). The changing nature of rationing in the UK National Health Service. Public Administration . 78(1), 91-109.
  23. Macintyre, S. (1997). The Black Report and beyond. What are the issues? Social Science and Medicine , 44(6), 723-745.
  24. Mackenbach, J. & Bakker, M. (Eds.) (2002). Reducing inequalities in health: A European perspective , London: Routledge.
  25. Marrugat, J., Gil, M. & Sala, J. (1999). Sex differences in survival rates after acute myocardial infarction, Journal of Cardiovascular Risk , 6(2), 89-97.
  26. McKinlay, J. (1996). Some contributions from the social system to gender inequalities in heart disease, Journal of Health and Social Behaviour , 37, 1-26.
  27. Paterson, I. & Judge, K. (2002). Equality of access to health care. In J. Mackenbach & M. Bakker (Eds.) Reducing inequalities in health: A European perspective (pp 169-187), London: Routledge.
  28. Peltonen, M., Lundberg, V., Huhtasaari, F. & Asplund, K. (2000). Marked improvement in survival after acute myocardial infarction in middle-aged men but not in women. The Northern Sweden MONICA study 1985-94, Journal of Internal Medicine, 247(5), 57987.
  29. Raine, R. (2000). Does gender bias exist in the use of specialist health care? Journal of Health Service Research and Policy, 5(4), 237-249.
  30. Raine, R. (2001) Sex inequalities in ischaemic heart disease in primary care, British Medical Journal , 323, 400.
  31. Rooks, R.N., Simonsick, E.M., Miles, T., Newman, A., Kritchevsky, S.B., Schulz, R. & Harris, T. (2002). The association of race and socioeconomic status with cardiovascular disease indicators among older adults in the Health, Aging, and Body Composition Study, Journal of Gerontology , 57B (4), S247-S256. - 44 words
  32. Sharp, I. (1998). Gender issues in the prevention and treatment of Coronary Heart Disease. In L. Doyal (Ed.) (pp 100-112) Women and health services: An agenda for change, Buckingham: Open University Press.
  33. Shaw, M., Maxwell, R., Rees, K., Ho., D, Oliver, S., Ben-Shlomo Y. & Ebrahim, S. (2004) Gender and age inequality in the provision of coronary revascularisation in England in the 1990s: is it getting better? Social Science and Medicine , 59 (12), 24992507.
  34. Wenger. N. K. (1997). Coronary heart disease: an older woman's major health risk', British Medical Journal ; 315, 1085-1090.

Cited by

Sorted by citations

Authors
Arber, S., McKinlay, J., Adams, A., Marceau, L., Link, C., & O’Donnell, A.
Affiliations
  • University of Surrey (GB)
  • New England Research Institutes (US)
  • University of Warwick (GB)
Corresponding author
Arber, Sara
Venue
Social Science & Medicine
Publisher
Elsevier BV
Published
2006-01
Volume
62
Issue
1
Pages
103-115
ISSN
0277-9536 (ISSN-L)
OpenAlex
W2041598086
Cited by
184
References
1
Citations by year
2026: 3 · 2025: 6 · 2024: 10 · 2023: 6 · 2022: 10 · 2021: 7 · 2020: 10 · 2019: 13 · 2018: 8 · 2017: 5 · 2016: 12 · 2015: 6 · 2014: 6 · 2013: 9 · 2012: 9
FWCI
8.74
Type
journal article
Language
en
Open access
closed
Locations
  • Social Science & Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DigitalGeorgetown (Georgetown University Library) (submittedVersion)
Funders
National Institute on Aging (AG 16747, R01AG016747)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
  • Social Sciences › Gender Studies › Diversity and Career in Medicine
Keywords
coronary artery disease, gender inequality in health, primary care physicians, diagnostic decision-making, clinical management, ageism, social class, race, middle-aged women, video vignettes, physician-patient interaction, sex differences in care
MeSH terms
Age Factors, Aged, Communication, Coronary Disease, Decision Making, Female, United Kingdom, Humans, Male, Middle Aged, Patient Education as Topic, Physician-Patient Relations, Practice Patterns, Physicians', Prejudice, Primary Health Care, Sex Factors, Social Class, United States, Video Recording

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review