Sex and Race/Ethnicity–Related Disparities in Care and Outcomes After Hospitalization for Coronary Artery Disease Among Older Adults
Abstract
Background—: It is unclear to what extent cardiovascular health disparities exist and can be modified among sexes, racial/ethnic groups, and geographic regions in US hospitals. Methods and Results—: We conducted a cohort study of 49 358 patients aged 65 years and older, admitted to 366 US hospitals from 2003 to 2009 as part of the Get With The Guidelines—Coronary Artery Disease registry linked with Medicare inpatient data. We examined mortality disparities of sex, race/ethnicity, and geographic region with 3-year mortality. The mediator was defined as receiving optimal quality of care. Logistic regression with generalized estimating equations and mediation analysis were used. Compared with men, women were less likely to receive optimal care (odds ratio=0.92; 95% confidence interval: 0.88–0.95; P <0.0001) and more likely to have higher mortality if they received suboptimal care (odds ratio=1.25; 95% confidence interval: 1.00–1.55; P =0.05, P for interaction=0.04). Approximately 69% of the sex disparity may potentially be reduced by providing optimal quality of care to women. Quality of care did not differ across racial/ethnic groups or geographic regions. Blacks were more likely to die than whites (odds ratio=1.33; 95% confidence interval: 1.21–1.46; P <0.0001), and this disparity persisted regardless of the quality of care received. Conclusions—: Women were less likely than men to receive optimal care at discharge. The observed sex disparity in mortality could potentially be reduced by providing equitable and optimal care. In contrast, the higher mortality observed in black patients could not be accounted for by differences in the quality of care measured in this study.
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Women are less likely to receive lipid-lowering medications and procedures in the hospital compared to men, despite being more likely to present with hypertension and heart failure.
“For example, women are less likely to receive lipid-lowering medications and procedures in the hospital compared to men, despite being more likely to present with hypertension and heart failure [29].”
From Bias in artificial intelligence algorithms and recommendations for mitigation (2023) · cites this paper as [29]
Cites
Lloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750 · see citing works
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Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Gianfrancesco, M. A., Tamang, S., Yazdany, J., & Schmajuk, G. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.3763 · Cited by 1,395 · see citing works
Bias in artificial intelligence algorithms and recommendations for mitigation
Nazer, L. H., Zatarah, R., Waldrip, S., Ke, J. X. C., Moukheiber, M., Khanna, A. K., Hicklen, R. S., Moukheiber, L., Moukheiber, D., Ma, H., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000278 · Cited by 621 · see citing works
Kristoffersson, A., & Lindén, M. (2020) · Sensors · doi:10.3390/s20051502 · Cited by 72 · see citing works
In medicine, how do we machine learn anything real?
Ghassemi, M., & Nsoesie, E. O. (2022) · Patterns · doi:10.1016/j.patter.2021.100392 · Cited by 37 · see citing works
- Authors
- Li, S., Fonarow, G. C., Mukamal, K. J., Liang, L., Schulte, P. J., Smith, E. E., DeVore, A., Hernandez, A. F., Peterson, E. D., & Bhatt, D. L.
- Affiliations
- Brigham and Women's Hospital (US)
- ORCID
- Venue
- Circulation: Cardiovascular Quality and Outcomes
- Published
- 2016-02
- Volume
- 9
- Issue
- 2_suppl_1
- Pages
- S36-44
- ISSN
- 1941-7705 (ISSN-L)
- 1941-7713
- OpenAlex
- W2285232123
- Cited by
- 85
- References
- 1
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 4 · 2023: 9 · 2022: 14 · 2021: 8 · 2020: 6 · 2019: 11 · 2018: 9 · 2017: 9 · 2016: 2
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Circulation Cardiovascular Quality and Outcomes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Heart Association
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
- Keywords
- coronary artery disease, sex disparities, racial and ethnic disparities, older adults, mortality disparities, quality of care, Black patients, geographic region, hospitalization, cardiovascular health disparities, mediation analysis
- MeSH terms
- Aged, Aged, 80 and over, Coronary Artery Disease, Female, Hospitalization, Humans, Male, Quality of Health Care, Sex Characteristics, Cohort Studies, Logistic Models, Healthcare Disparities
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