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Risk Adjustment for Injured Patients Using Administrative Data

Clark, David E. MD, MPH; Winchell, Robert J. MD

Journal of Trauma-Injury Infection & Critical Care:
Original Articles
Abstract

Background: Risk adjustment methods are needed for population-based studies of injured patients.

Methods: Data were obtained from National Hospital Discharge Surveys, 1996 to 2000. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnoses were used to categorize Abbreviated Injury Scale score, Injury Severity Score, ICD-9-CM Injury Severity Score, injury mechanisms, and comorbidities. Regression models for weighted survey data were constructed from combinations of these classifications, plus age and sex, to predict mortality, length of stay (LOS), or discharge to long-term care (LTC).

Results: Increased Abbreviated Injury Scale score, increased Injury Severity Score, or decreased ICD-9-CM Injury Severity Score were similarly associated with mortality, prolonged LOS, or more frequent LTC, as was increased age. Penetrating or burn mechanisms were associated with mortality and longer LOS; penetrating or vehicle mechanisms were associated with less frequent LTC. Different comorbidities affected LOS and LTC. Men had shorter LOS and less frequent LTC than women.

Conclusion: Hospital outcomes after injury are predictable from age, sex, and standard diagnosis groupings. Anatomic scales gave similar results when adjusted for other factors.

Author Information

From the Department of Surgery (D.E.C., R.J.W.), Maine Medical Center, Portland Maine, and the Harvard Injury Control Research Center (D.E.C.), Harvard School of Public Health, Boston, Massachusetts.

Submitted for publication June 6, 2003.

Accepted for publication October 30, 2003.

Supported by National Center for Injury Prevention and Control grant R49/CCR115279-04.

Address for reprints: David E. Clark, MD, 887 Congress Street, Portland, ME 04102; email: clarkd@mmc.org.

© 2004 Lippincott Williams & Wilkins, Inc.