Abstract
Background: There has been increasing effort to measure frailty in the United States Medicare data. The performance of claims-based frailty measures has not been compared. Methods: This retrospective cohort study included 2,326 community-dwelling Medicare beneficiaries who participated in the 2008 assessment of the Health and Retirement Study. The claims-based frailty measures developed by Davidoff, Faurot, Segal, and Kim were compared against clinical measures of frailty (gait speed, grip strength) using correlation coefficients and health outcomes (e.g., mortality, hospitalization, activities-of-daily-living disabilities) over 2 years using C-statistics. Results: The Davidoff, Faurot, Segal, and Kim indices were negatively correlated with gait speed (-0.19, -0.33, -0.37, and -0.37, respectively), but age and sex adjustment variably attenuated the correlation to -0.17, -0.22, -0.18, and -0.33, respectively. The corresponding correlation coefficients with grip strength were -0.17, -0.27, -0.35, and -0.24, which attenuated to -0.09, -0.14, -0.05, and -0.23 after age and sex adjustment, respectively. The models that included age, sex, and each of Davidoff, Faurot, Segal, and Kim indices showed C-statistics of 0.67, 0.71, 0.71, 0.75 for mortality (versus C-statistic for age and sex: 0.66); 0.59, 0.64, 0.63, 0.70 for hospitalization (versus C-statistic for age and sex: 0.58); and 0.64, 0.63, 0.63, 0.70 for activities-of-daily-living disabilities (versus C-statistic for age and sex: 0.61), respectively. Conclusions: The choice of a claims-based frailty measure results in a meaningful variation in the identification of frail older adults at high risk for adverse health outcomes. Claims-based frailty measures that included demographic variables offer limited risk adjustment beyond age and sex.
Highlights
There has been increasing effort to measure frailty in the United States Medicare data
Acquiring a deficit makes an individual more frail and susceptible to other associated deficits. We model this process as a network of health deficits that interact with each other
The model is trained with self-reported data from the Canadian Study of Health and Aging (CSHA) or the National Health and Nutrition Examination Survey (NHANES)
Summary
There has been increasing effort to measure frailty in the United States Medicare data. Dalhousie University, Department of Physics, Halifax, Nova Scotia, Canada The model is trained with self-reported data from the Canadian Study of Health and Aging (CSHA) or the National Health and Nutrition Examination Survey (NHANES). Our model informs our understanding of aging by providing an interaction network representing the associations between pairs of deficits.
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