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PMID: 9250271 Published · ppublish English Journal Article

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

Journal of clinical epidemiology ·Vol. 50 ·No. 6 ·1997-06-00 ·Pages 725-33

Newschaffer CJ, Bush TL, Penberthy LT

Abstract

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,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
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Newschaffer C J
Saint Louis University School of Public Health, Department of Community Health, Missouri 63108, USA.
Bush T L
Penberthy L T
Article Info
Journal
Journal of clinical epidemiology
Abbr.
J Clin Epidemiol
ISSN
0895-4356
Published
1997-06-00
Pages
725-33
Language
English
Region
United States
NLM ID
8801383
Subset
IM
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