Comorbidity measurement in elderly female breast cancer patients with administrative and medical records data

J Clin Epidemiol. 1997 Jun;50(6):725-33. doi: 10.1016/s0895-4356(97)00050-4.


The inter-rater reliability, cross-source (Medicare claims versus medical record) agreement, and ability to predict all-cause mortality of three aggregate comorbidity indices were evaluated in a group of 404 elderly, incident breast cancer cases identified from the Virginia Cancer Registry and linked to Medicare administrative data files. Comorbidity was based on both medical records and Medicare claims data using indices from Charlson et al (1987), Satariano and Ragland (1994), and Kaplan and Feinstein (1974). Inter-rater agreement was good for all indices (kappas > or = 0.80). Agreement between comorbidity indices measured by claims and medical records was considerably poorer (kappas between 0.30 and 0.40). However, claims-based and medical records-based comorbidity indices were similarly associated with mortality. For the Charlson index, the index best predicting survival, the adjusted relative risk for an increase from a lower to higher comorbidity category was 1.48 (95% confidence interval 1.23, 1.78) based on medical records compared to 1.53 (95% confidence interval 1.23, 1.93) based on Medicare claims. The claims-based Charlson index score still appeared to be associated with survival (relative risk = 1.30; 95% confidence interval = 1.00, 1.70) after controlling for the medical records-based score. This suggests that both comorbidity data sources add valuable prognostic information and, conversely, that the use of either source alone will result in some misclassification of comorbidity.

MeSH terms

  • Aged
  • Breast Neoplasms / epidemiology*
  • Breast Neoplasms / mortality
  • Chi-Square Distribution
  • Comorbidity
  • Female
  • Humans
  • Medical Record Linkage
  • Medicare
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Registries
  • Reproducibility of Results
  • Risk
  • Survival Rate
  • United States
  • Virginia / epidemiology