Journal of Clinical Epidemiology
Volume 56, Issue 11 , Pages 1064-1075, November 2003

The development and validation of a comorbidity index for prostate cancer among Black men

  • Steven T Fleming

      Affiliations

    • Health Services Management, University of Kentucky, 121 Washington Avenue, Room 113C, Lexington, KY 40536-0003, USA
    • Corresponding Author InformationCorresponding author. Tel.: 859-323-1100; fax: 859-257-2454.
  • ,
  • Kevin A Pearce

      Affiliations

    • Family Practice, University of Kentucky, Rm K-302, Kentucky Clinic, Lexington, KY 40536-0284, USA
  • ,
  • Kathleen McDavid

      Affiliations

    • Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Highway, NE, MS-K53, Atlanta, GA 30341, USA
  • ,
  • Dmitri Pavlov

      Affiliations

    • Pfizer Inc, Biostatistics & Reporting, MS6025-A3125, 50 Pequot Avenue, New London, CT 06320, USA

Accepted 20 February 2003.

Abstract 

Background and Objectives

The purpose of this study was to develop a comorbidity index specific to Black Men with prostate cancer, because certain comorbidities and prostate cancer are particularly prevalent among this racial group.

Methods

This research used the Surveillance, Epidemiology, and End Results (SEER)–Medicare-linked database to develop an index of comorbidity burden based on survival, and the presence/absence of comorbid illness in 2,931 Black males diagnosed with prostate cancer. Comorbidity burden was recognized using inpatient, outpatient, and physician claims for a 2-year period prior to the diagnosis of prostate cancer. We compared five different statistical models, each with two-way, three-way, and/or four-way interactions among the comorbidities, and selected the model with only two-way interactions as the optimal choice. We demonstrated the utility of refining the simplest model, with 27 comorbidity categories only, by adjusting for the number of different diagnoses within statistically significant categories.

Keywords:  Comorbidity, Claims data, Administrative data, Medicare, Prostate cancer, Survival analysis

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PII: S0895-4356(03)00213-0

doi:10.1016/S0895-4356(03)00213-0

Journal of Clinical Epidemiology
Volume 56, Issue 11 , Pages 1064-1075, November 2003