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Physician Variability in History Taking When Evaluating Patients Presenting with Chest Pain in the Emergency Department

2006; Wiley; Volume: 13; Issue: 2 Linguagem: Inglês

10.1197/j.aem.2005.08.007

1553-2712

Thea James, James A. Feldman, Supriya D. Mehta,

Health Promotion and Cardiovascular Prevention

The goal of this study was to examine how physicians in the emergency department ask questions of patients presenting with chest pain and whether this varies by patient demographics.This was a cross-sectional study with convenience sampling. A survey was administered to adult emergency department patients presenting with chest pain after emergency physicians obtained the history and performed the physical examination. No identifying data were collected from the patients. In addition to demographics, patients were asked whether or not their physician asked them about factors related to coronary syndrome and myocardial infarction etiology.A total of 308 of 332 patients (93%) participated. Patients had a mean age of 52 years, 54% were male, and 85% spoke English; classification by race was 31% African American, 28% white, 19% Hispanic, and 13% other. History taking did not differ by gender. Patients who reported being asked about the following were statistically significantly younger than those who reported not being asked: family history, other medical problems, smoking, cocaine use, and alcohol use. Nonwhite patients reported being asked about the following more frequently than white patients: smoking (94% vs. 84%), alcohol use (81% vs. 70%), and cocaine use (64% vs. 42%). In multivariate logistic regression controlling for age, nonwhite patients were more likely than white patients to be asked about smoking (odds ratio [OR], 2.79; 95% confidence interval [CI] = 1.26 to 6.19), cocaine use (OR, 2.49; 95% CI = 1.50 to 4.12), and alcohol use (OR, 1.77; 95% CI = 1.0 to 3.09).The variability in questions about behavioral factors associated with chest pain etiology as reported by patients may indicate a possible cultural bias by physicians. Differences in risk identification may lead to differences in treatment decisions.