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      Measuring Frailty in Medicare Data: Development and Validation of a Claims-Based Frailty Index

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          Abstract

          <div class="section"> <a class="named-anchor" id="s1"> <!-- named anchor --> </a> <h5 class="section-title" id="d438626e207">Background</h5> <p id="d438626e209">Frailty is a key determinant of health status and outcomes of health care interventions in older adults that is not readily measured in Medicare data. This study aimed to develop and validate a claims-based frailty index (CFI). </p> </div><div class="section"> <a class="named-anchor" id="s2"> <!-- named anchor --> </a> <h5 class="section-title" id="d438626e212">Methods</h5> <p id="d438626e214">We used data from Medicare Current Beneficiary Survey 2006 (development sample: <i>n</i> = 5,593) and 2011 (validation sample: <i>n</i> = 4,424). A CFI was developed using the 2006 claims data to approximate a survey-based frailty index (SFI) calculated from the 2006 survey data as a reference standard. We compared CFI to combined comorbidity index (CCI) in the ability to predict death, disability, recurrent falls, and health care utilization in 2007. As validation, we calculated a CFI using the 2011 claims data to predict these outcomes in 2012. </p> </div><div class="section"> <a class="named-anchor" id="s3"> <!-- named anchor --> </a> <h5 class="section-title" id="d438626e223">Results</h5> <p id="d438626e225">The CFI was correlated with SFI (correlation coefficient: 0.60). In the development sample, CFI was similar to CCI in predicting mortality ( <i>C</i> statistic: 0.77 vs. 0.78), but better than CCI for disability, mobility impairment, and recurrent falls (C statistic: 0.62–0.66 vs. 0.56–0.60). Although both indices similarly explained the variation in hospital days, CFI outperformed CCI in explaining the variation in skilled nursing facility days. Adding CFI to age, sex, and CCI improved prediction. In the validation sample, CFI and CCI performed similarly for mortality (C statistic: 0.71 vs. 0.72). Other results were comparable to those from the development sample. </p> </div><div class="section"> <a class="named-anchor" id="s4"> <!-- named anchor --> </a> <h5 class="section-title" id="d438626e231">Conclusion</h5> <p id="d438626e233">A novel frailty index can measure the risk for adverse health outcomes that is not otherwise quantified using demographic characteristics and traditional comorbidity measures in Medicare data. </p> </div>

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          Author and article information

          Journal
          The Journals of Gerontology: Series A
          Oxford University Press (OUP)
          1079-5006
          1758-535X
          July 2018
          June 14 2018
          December 13 2017
          July 2018
          June 14 2018
          December 13 2017
          : 73
          : 7
          : 980-987
          Affiliations
          [1 ]Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
          [2 ]Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
          [3 ]Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
          [4 ]Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts
          [5 ]Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
          Article
          10.1093/gerona/glx229
          6001883
          29244057
          1fca05c0-d3f3-4243-94de-e2c43a684d4a
          © 2017

          https://academic.oup.com/journals/pages/about_us/legal/notices

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