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Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases

R A Deyo1, D C Cherkin, M A Ciol

  • 1Department of Medicine, University of Washington, Seattle 98195.

Insights

This study adapted a clinical comorbidity index for use with administrative healthcare databases. The adapted index effectively predicted health outcomes and resource use in patients undergoing lumbar spine surgery.

Area of Science:

  • Health Services Research
  • Medical Informatics
  • Epidemiology

Background:

  • Administrative databases are valuable for healthcare outcomes research.
  • Accurate assessment of disease severity and comorbidities is crucial for valid inferences from administrative data.
  • Existing clinical comorbidity indices often require detailed medical record review, limiting their use with administrative codes.

Purpose of the Study:

  • To adapt a clinical comorbidity index for use with International Classification of Diseases (ICD-9-CM) diagnosis and procedure codes.
  • To evaluate the adapted index's association with health outcomes and resource utilization in a Medicare population undergoing lumbar spine surgery.

Main Methods:

  • Adapted a clinical comorbidity index for ICD-9-CM codes.
  • Examined the association of the adapted index with outcomes (complications, mortality, discharge disposition, length of stay, charges) in Medicare beneficiaries (n=27,111) who had lumbar spine surgery in 1985.
  • Assessed index performance using data from a single admission versus multiple hospitalizations over a year, controlling for patient age.

Main Results:

  • The adapted comorbidity index was significantly associated with adverse health outcomes and increased resource use, including postoperative complications, mortality, blood transfusion, discharge to a nursing home, longer hospital stays, and higher hospital charges.
  • These associations were consistent regardless of whether the index utilized data from a single hospital admission or aggregated data from multiple hospitalizations within a year.
  • The predictive validity of the index persisted after adjusting for patient age.

Conclusions:

  • The adapted comorbidity index, utilizing ICD-9-CM codes, is a valid tool for assessing disease severity and comorbidity burden in administrative healthcare databases.
  • This index can enhance the accuracy of research on disease outcomes and resource utilization, particularly for studies involving large patient populations.
  • The index demonstrates utility for both single-admission analyses and longitudinal studies incorporating data across multiple hospitalizations.

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