Literature DB >> 9250271

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

C J Newschaffer1, T L Bush, L T Penberthy.   

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.

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Year:  1997        PMID: 9250271     DOI: 10.1016/s0895-4356(97)00050-4

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  27 in total

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Review 3.  Comorbidity in older adults with cancer.

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4.  The influence of comorbidities on overall survival among older women diagnosed with breast cancer.

Authors:  Jennifer L Patnaik; Tim Byers; Carolyn Diguiseppi; Thomas D Denberg; Dana Dabelea
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5.  Integration of Administrative Data and Chart Review for Reporting Health Care Utilization Among Children With Sickle Cell Disease.

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8.  Determinants of newly diagnosed comorbidities among breast cancer survivors.

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Journal:  J Cancer Surviv       Date:  2014-02-26       Impact factor: 4.442

9.  Pretreatment predictors of death from other causes in men with prostate cancer.

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10.  Medicare capitation model, functional status, and multiple comorbidities: model accuracy.

Authors:  Katia Noyes; Hangsheng Liu; Helena Temkin-Greener
Journal:  Am J Manag Care       Date:  2008-10       Impact factor: 2.229

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