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J Am Coll Cardiol, 2003; 41:1159-1166, doi:10.1016/S0735-1097(03)00042-1 © 2003 by the American College of Cardiology Foundation |




* Center for Health Disparities Solutions, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
Oregon Health & Sciences University, Portland, Oregon, USA
One Heart, Limited Liability Company, Baltimore, MarylandUSA
Department of Cardiology, St. Agnes Healthcare, Portland, OregonUSA
|| Department of Cardiology, Bon Secours Baltimore Health System, Baltimore, Maryland, USA
Manuscript received November 5, 2001; revised manuscript received September 20, 2002, accepted October 25, 2002.
* Reprint requests and correspondence: Dr. Thomas A. LaVeist, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, Maryland 21205, USA.
tlaveist{at}jhsph.edu
OBJECTIVES: We sought to identify factors contributing to racial disparity in the receipt of coronary angiography (CA).
BACKGROUND: Numerous studies have demonstrated that African American patients are less likely to receive needed diagnostic and therapeutic coronary procedures than white patients. This report summarizes the methods and findings of a study linking medical records with patient and physician interviews to address racial disparities in the utilization of CA.
METHODS: This is a retrospective, cross-sectional study conducted in three urban hospitals in Maryland. A total of 9,275 medical records were reviewed, representing all 7,058 cardiac patients admitted in a two-year period. We identified 2,623 patients who, according to American College of Cardiology guidelines, were candidates for receiving CA. A total of 1,669 patients (721 African Americans and 948 whites) and 74% of their physicians were successfully interviewed. Multivariate and hierarchical multivariate logistic regression were used to construct a model of receipt of CA within one year of the hospitalization.
RESULTS: The unadjusted odds of white patients receiving CA was three times greater than the odds for African American patients (odds ratio [OR] 3.0, 95% confidence interval [CI] 2.4 to 3.7). Adjusting for patients clinical and social characteristics resulted in a 13% reduction in the OR for race. Adjusting for physician and health care system characteristics reduced the OR by 43%, to 1.7 (95% CI 1.3 to 2.4).
CONCLUSIONS: Racial disparity in the utilization of CA is a function of differences in the health care system "context" in which African American and white patients obtain care, combined with differences in the specific clinical characteristics of patients.
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