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Comparison of methods to identify long term care nursing home residence with administrative data

By James S. Goodwin, Shuang Li, Jie Zhou, James E. Graham, Amol Karmarkar and Kenneth Ottenbacher


Abstract Background To compare different methods for identifying a long term care (LTC) nursing home stay, distinct from stays in skilled nursing facilities (SNFs), to the method currently used by the Center for Medicare and Medicaid Services (CMS). We used national and Texas Medicare claims, Minimum Data Set (MDS), and Texas Medicaid data from 2011-2013. Methods We used Medicare Part A and B and MDS data either alone or in combination to identify LTC nursing home stays by three methods. One method used Medicare Part A and B data; one method used Medicare Part A and MDS data; and the current CMS method used MDS data alone. We validated each method against Texas 2011 Medicare-Medicaid linked data for those with dual eligibility. Results Using Medicaid data as a gold standard, all three methods had sensitivities > 92% to identify LTC nursing home stays of more than 100 days in duration. The positive predictive value (PPV) of the method that used both MDS and Medicare Part A data was 84.65% compared to 78.71% for the CMS method and 66.45% for the method using Part A and B Medicare. When the patient population was limited to those who also had a SNF stay, the PPV for identifying LTC nursing home was highest for the method using Medicare plus MDS data (88.1%). Conclusions Using both Medicare and MDS data to identify LTC stays will lead to more accurate attribution of CMS nursing home quality indicators

Topics: Nursing home, Long term care, Minimum Data Set, Medicare, Public aspects of medicine, RA1-1270
Publisher: BMC
Year: 2017
DOI identifier: 10.1186/s12913-017-2318-9
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