Does clinical evidence support ICD-9-CM diagnosis coding of complications?

E P McCarthy1, L I Iezzoni, R B Davis

  • 1Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, the Charles A Dana Research Institute, Boston, Massachusetts 02215, USA. Ellen_Mccarthy@caregroup.harvard.edu

Medical Care
|August 10, 2000
PubMed

Insights

This study found that clinical evidence often did not support hospital discharge diagnoses coded using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), raising concerns for quality monitoring.

Area of Science:

  • Medical Informatics
  • Health Services Research
  • Clinical Epidemiology

Background:

  • Hospital discharge diagnoses, coded using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), are crucial for reimbursement and quality monitoring.
  • Previous validity studies focused on coding guideline adherence, not the presence of the actual clinical condition.

Purpose of the Study:

  • To assess whether clinical evidence in medical records substantiates selected ICD-9-CM discharge diagnoses.
  • To evaluate the clinical validity of ICD-9-CM codes used in quality monitoring programs.

Main Methods:

  • Retrospective review of 485 hospitalizations of elderly Medicare beneficiaries.
  • Analysis of the proportion of patients with specific ICD-9-CM codes who had supporting clinical evidence.

Main Results:

  • While most postoperative acute myocardial infarction diagnoses were supported, fewer than 60% of other diagnoses had confirmatory clinical evidence.
  • 30% of medical and 19% of surgical patients lacked objective evidence for their coded diagnoses.
  • Support for coded complications varied, with some relying heavily on physician notes rather than explicit criteria.

Conclusions:

  • The presence of clinical conditions for ICD-9-CM codes used in quality monitoring is questionable.
  • Findings indicate significant concerns regarding the clinical validity of ICD-9-CM codes for healthcare quality assessment.
Abstract

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