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Volume 8, Number 12—December 2002


Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery

Richard Platt*†‡Comments to Author , Ken Kleinman*†, Kristin Thompson*†, Rachel S. Dokholyan*†, James M. Livingston*‡, Andrew Bergman*§, John H. Mason*#, Teresa C. Horan**, Robert P. Gaynes#, Steven L. Solomon#, and Kenneth E. Sands*††
Author affiliations: *Centers for Disease Control and Prevention Eastern Massachusetts Prevention Epicenter, Boston, Massachusetts, USA; †Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA; ‡Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA; §Tufts Health Plan, Boston, Massachusetts, USA; #Blue Cross Blue Shield of Massachusetts, Boston, Massachusetts, USA; **Centers for Disease Control and Prevention, Atlanta, Georgia, USA; ††Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA;

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Table 4

Adjusted hospital specific risksa

Patients with at least one indicator code for infection Hospital B vs. A Hospital C vs. A Hospital D vs. A Other hospitals vs. A p value
Including pharmacy data 536/1,953 0.68 
(0.49–0.94)b 1.03 
(0.68–1.55) 1.57 
(1.16–2.13) 0.91 
(0.67–1.24) <0.0001
Excluding pharmacy data 363/1,953 0.84 
(0.58–1.20) 0.92 
(0.56–1.50) 1.62 
(1.15–2.28) 1.05 
(0.74–1.50) 0.03

aAdjusted for health plan, age, and sex. The interaction between health plan and hospital was not significant in any of these models. Similar results were obtained in models adjusting for chronic disease score (a composite of age, sex, and pharmacy information), instead of age and sex.
bAdjusted odds ratios and (95% confidence intervals).

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