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Comparative Study
. 2005 Aug;20(8):762-5.
doi: 10.1111/j.1525-1497.2005.0160.x.

Quality of ambulatory care for women and men in the Veterans Affairs Health Care System

Affiliations
Comparative Study

Quality of ambulatory care for women and men in the Veterans Affairs Health Care System

Ashish K Jha et al. J Gen Intern Med. 2005 Aug.

Abstract

Background: Gender differences in inpatient quality of care are well known. However, whether men and women receive equivalent ambulatory care is less well understood.

Objective: To study gender differences in quality of care for patients receiving primary care in the Veterans Affairs (VA) Health Care System.

Design: Cross-sectional samples of VA enrollees during fiscal years 1999 to 2000.

Participants: Samples of 6,442 to 86,405 men and women treated at VA facilities for whom at least 1 of 9 quality measures was available.

Measurements: Appropriate general preventive services (pneumococcal vaccination, influenza vaccination, colorectal cancer screening), and specific services for diabetes (annual hemoglobin A1c [HbA1c] testing, good glycemic control, annual diabetic eye exam), hypertension (good blood pressure control), or prior myocardial infarction (use of beta-blockers or aspirin).

Results: In adjusted analyses, there were no substantial gender differences in rates of appropriate care. For women compared with men, the adjusted relative risk for appropriate care ranged from 0.96 for blood pressure control (95% confidence interval: 0.93 to 0.99; P=.02) to 1.05 for HbA1c< or =8.0% (95% confidence interval: 1.03 to 1.07; P<.01). Analyses stratified by age demonstrated equivalent care between men and women in 9 of the 14 subgroups evaluated.

Conclusions: In this large national health care system that predominantly serves men, the quality of ambulatory care is equivalent for women and men on numerous measures.

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Figures

FIGURE 1
FIGURE 1
Risk ratio with 95% confidence interval (CI) for receiving quality care, stratified by age. Post-myocardial infarction (MI) patients not analyzed in subgroups because of small sample size and lack of interaction by age group.

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