Respuesta :
Background: Frailty is an important factor that influences older persons' health state and the results of medical interventions, but it is difficult to evaluate in Medicare data. A claims-based frailty measure was developed and validated in this study (CFI).
Methods: Data from the Medicare Current Beneficiary Surveys from 2006 and 2011 (validation sample: n = 4,424) were used. In order to approximate a survey-based frailty index (SFI) computed from the 2006 survey data as a reference standard, a CFI was created utilizing the claims data from 2006. In 2007, we investigated the predictive power of CFI and combined comorbidity index (CCI) for death, disability, recurrent falls, and health care utilization. To validate our prediction of these outcomes in 2012, we created a CFI using the claims data from 2011.
Results: The CFI and SFI were connected (correlation coefficient: 0.60). In the development sample, CFI was superior to CCI for predicting disability, mobility impairment, and recurrent falls, but equivalent to CCI for predicting mortality (C statistic: 0.77 vs. 0.78). (C statistic: 0.62-0.66 vs. 0.56-0.60). Although the variation in hospital days was similarly explained by both indices, the variation in skilled care facility days was better explained by CFI than CCI. Age, sex, and CCI were combined with CFI to improve prediction. CFI and CCI fared similarly for mortality in the validation sample (C statistic: 0.71 vs. 0.72). Similar results to those from the development sample were obtained in other areas.
Conclusion: A unique frailty index can quantify the risk for negative health outcomes that cannot be measured using existing comorbidity measurements and demographic data in Medicare data.
What is claims-based frailty?
Utilizing self-reported health data, a claims-based frailty index (CFI) was created utilizing a deficit-accumulation methodology. The objective of this study was to independently validate the CFI against negative health outcomes and physical performance.
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