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The Utility of the State Buy‐In Variable in the Medicare Denominator File to Identify Dually Eligible Medicare‐Medicaid Beneficiaries: A Validation Study
Author(s) -
Koroukian Siran M.,
Dahman Bassam,
Copeland Glenn,
Bradley Cathy J.
Publication year - 2010
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/j.1475-6773.2009.01051.x
Subject(s) - medicaid , medicine , confidence interval , population , medicare part d , demography , family medicine , health care , medical prescription , prescription drug , environmental health , nursing , sociology , economics , economic growth
Objective. To compare the adequacy of the state buy‐in variable (SBI) in the Medicare denominator file to identify dually eligible patients. Data Source/Study Settings. We used linked Medicare and Medicaid data from Michigan and Ohio for elders diagnosed with incident breast, prostate, or colorectal cancer between 1996 and 2001. Study Design. Using the Medicaid enrollment file as the “gold standard,” we assessed the number of duals from Medicare files in cross‐sectional and longitudinal analyses. Data Collection/Extraction Methods. Data for the study population were linked with Medicare and Medicaid files using patient identifiers. Principal Findings. Sensitivity was low (74.2 percent, 95 percent confidence interval [CI]: 72.7, 75.6 and 80.8 percent, 79.7, 81.9, in Michigan and Ohio, respectively). PPV was above 95 percent in Michigan and 88.8 percent in Ohio. Both sensitivity and PPV varied between and within the states. Both in Michigan and in Ohio, we observed limited agreement on the length of enrollment in Medicaid between the two data sources. Conclusions. Except to examine disparities by dual status at a very broad level, the SBI variable alone may be inadequate to identify duals. The findings call for improvements in Medicare and Medicaid information management systems and for uniformity in database linking strategies.