Literature DB >> 20050352

Incremental value of using Medicaid claim files to study comorbid conditions and treatments in dually eligible beneficiaries.

Cathy J Bradley1, Bassam Dahman, Paul M Bataki, Siran Koroukian.   

Abstract

BACKGROUND: Although investigations using Medicare claims files are ubiquitous in the health services research literature, Medicaid claims files are used less frequently. Nonetheless, Medicaid is the major payer for healthcare among low-income persons.
OBJECTIVE: To assess the added value of Medicaid claim files for identifying comorbid conditions and cancer treatments in a dually eligible sample. RESEARCH
DESIGN: Data were obtained from linked statewide tumor registries from 2 contiguous Midwestern states (Michigan and Ohio), Medicare and Medicaid enrollment files, and Medicare and Medicaid claims files. We estimated the prevalence of Charlson Comorbidity Index conditions by counting the number of patients with these conditions in the Medicare claims files alone. We then estimate the expected percent increase in the prevalence of comorbid conditions (along with the 95% confidence interval) that could be obtained by using both Medicare and Medicaid claim files. We followed a similar procedure to identify treatments provided to dually eligible patients.
RESULTS: Medicaid claims added very few individuals with comorbid conditions over those identified through Medicare claim files. The increase in the prevalence of comorbid conditions was between 0% and 2.5%. Likewise, Medicaid claims identified few individuals with cancer treatments who were not already identified through Medicare claim files, although variations were noted between the 2 states.
CONCLUSIONS: This study suggests that the incremental value of Medicaid inpatient, outpatient, and carrier claims is relatively small over what can be obtained from Medicare claims data.

Entities:  

Mesh:

Year:  2010        PMID: 20050352      PMCID: PMC3178879          DOI: 10.1097/mlr.0b013e3181b72395

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  24 in total

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9.  Are low-income elderly patients at risk for poor diabetes care?

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