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INTERVENTIONAL CARDIOLOGY

The impact of statistical adjustment on economic profiles of interventional cardiologists

Patricia A. Cowper, PhD^*,*, Eric D. Peterson, MD, MPH^*, Elizabeth R. DeLong, PhD^*, Marilyn B. Wightman, MSN, MBA, Richard P. Wawrzynski, MBA, Lawrence H. Muhlbaier, PhD^* and Michael H. Sketch, Jr, MD

^* Outcomes Research and Assessment Group, Duke Clinical Research Institute, Durham, North Carolina, USA
Alamance Regional Medical Center, Burlington, North Carolina, USA
Duke University Medical Center, Durham, North Carolina, USA

Manuscript received February 28, 2001; revised manuscript received June 20, 2001, accepted August 1, 2001.

^* Reprint requests and correspondence: Dr. Patricia A. Cowper, Duke Clinical Research Institute, P.O. Box 17969, Durham, North Carolina 27715 USA
cowpe001{at}mc.duke.edu

OBJECTIVES

The objective of this study was to identify preprocedure patient factors associated with percutaneous intervention costs and to examine the impact of these patient factors on economic profiles of interventional cardiologists.

BACKGROUND

There is increasing demand for information about comparative resource use patterns of interventional cardiologists. Economic provider profiles, however, often fail to account for patient characteristics.

METHODS

Data were obtained from Duke Medical Center cost and clinical information systems for 1,949 procedures performed by 13 providers between July 1, 1997, and December 31, 1998. Patient factors that influenced cost were identified using multiple regression analysis. After assessing interprovider variation in unadjusted cost, mixed linear models were used to examine how much cost variability was associated with the provider when patient characteristics were taken into account.

RESULTS

Total hospital costs averaged $15,643 (median, $13,809), $6,515 of which represented catheterization laboratory costs. Disease severity, acuity, comorbid illness and lesion type influenced total costs (R² = 38%), whereas catheterization costs were affected by lesion type and acuity (R² = 32%). Patient characteristics varied significantly among providers. Unadjusted total costs were weakly associated with provider, and this association disappeared after accounting for patient factors. The provider influence on catheterization costs persisted after adjusting for patient characteristics. Furthermore, the pattern of variation changed: the adjusted analysis identified three new outliers, and two providers lost their outlier status. Only one provider was consistently identified as an outlier in the unadjusted and adjusted analyses.

CONCLUSIONS

Economic profiles of interventional cardiologists may be misleading if they do not adequately adjust for patient characteristics before procedure.

Abbreviations and Acronyms   CHF = congestive heart failure   LAD = left anterior descending artery   MI = myocardial infarction   PCI = percutaneous coronary intervention

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