Non-medical influences on medical decision-making
Abstract
Background The influence of non-medical factors on physicians' decision-making has been documented in many observational studies, but rarely in an experimental setting capable of demonstrating cause and effect. We conducted a controlled factorial experiment to assess the influence of non-medical factors on the diagnostic and treatment decisions made by practitioners of internal medicine in two common medical situations. Method One hundred and ninety-two white male internists individually viewed professionally produced video scenarios in which the actor-patient, presenting with either chest pain or dyspnea, possessed various balanced combinations of sex, race, age, socioeconomic status, and health insurance coverage. Physician subjects were randomly drawn from lists of internists in private practice, hospital-based practice, and HMO's, at two levels of experience. Results The most frequent diagnoses for both chest pain and dyspnea were psychogenic origin and cardiac problems. Smoking cessation was the most frequent treatment recommendation for both conditions. Younger patients (all other factors being the same) were significantly more likely to receive the psychogenic diagnosis. Older patients were more likely to receive the cardiac diagnosis for chest pain, particularly if they were insured. HMO-based physicians were more likely to recommend a follow-up visit for chest pain. Several interactions of patient and physician factors were significant in addition to the main effects…
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Older adults with low income and without medical insurance were less likely to receive a primary cardiac diagnosis, however, this discrimination did not affect younger patients who were low income and without insurance.
“Older adults with low income and without medical insurance were less likely to receive a primary cardiac diagnosis, however, this discrimination did not affect younger patients who were low income and without insurance.18”
From Health professionals implicit bias of patients with low socioeconomic status (SES) and its effects on clinical decision-making: a scoping review (2024) · cites this paper as [18]
McKinlay et al explored non-medical influences on HP decision-making for patients with coronary heart disease and found that discriminatory attitudes and behaviours were linked to the patient's age, perceived level of income and insurance status.
“McKinlay et al 18 explored non-medical influences on HP decision-making for patients with coronary heart disease and found that discriminatory attitudes and behaviours were linked to the patient’s age, perceived level of income and insurance status.”
From Health professionals implicit bias of patients with low socioeconomic status (SES) and its effects on clinical decision-making: a scoping review (2024) · cites this paper as [18]
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References 73 · Cited by 220
- Authors
- McKinlay, J. B., Potter, D. A., & Feldman, H. A.
- Affiliations
- New England Research Institutes (US)
- Corresponding author
- McKinlay, John B.
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 1996-03
- Volume
- 42
- Issue
- 5
- Pages
- 769-776
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W1991525577
- Cited by
- 220
- References
- 73
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 4 · 2022: 5 · 2021: 7 · 2020: 8 · 2019: 6 · 2018: 3 · 2017: 9 · 2016: 6 · 2015: 6 · 2014: 7 · 2013: 8 · 2012: 7
- FWCI
- 7.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Science & Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01hl037762-02)
- National Heart, Lung, and Blood Institute (HL-37762)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- physician decision-making, non-medical factors, diagnostic bias, chest pain, dyspnea, patient age, health insurance, smoking cessation, internal medicine, social determinants of health, Bayesian inference
- MeSH terms
- Adult, Attitude of Health Personnel, Chest Pain, Decision Theory, Diagnosis, Dyspnea, Female, Humans, Internal Medicine, Male, Middle Aged, Physician-Patient Relations, Practice Patterns, Physicians', Physician's Role, Therapeutics, Patient Simulation
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