Open AccessComparing Survey-Based Frailty Assessment to Medicare Claims in Predicting Health Outcomes and Utilization in Medicare Beneficiaries
Author(s) -
Shan Wu,
John Mulcahy,
Judith D. Kasper,
Hong Kan,
Jonathan P. Weiner
Publication year - 2019
Publication title -
journal of aging and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.041
H-Index - 75
eISSN - 1552-6887
pISSN - 0898-2643
DOI - 10.1177/0898264319851995
Subject(s) - logistic regression , medicine , psychological intervention , activities of daily living , gerontology , health care , survey data collection , statistic , geriatrics , nursing , physical therapy , statistics , mathematics , economics , economic growth , psychiatry
Objectives: To assess two models for the prediction of health utilization and functions using standardized in-person assessments of frailty and administrative claims-based geriatric risk measures among Medicare fee-for-service beneficiaries aged 65 years and above. Methods: Outcomes of hospitalizations, death, and functional help were investigated for participants in the 2011 National Health and Aging Trends Study. For each outcome, multivariable logistic regression model was used to investigate claims-based geriatric risk and survey-based frailty. Results: Both claims-based and survey-based models showed moderate discrimination. The c-statistic of the standardized frailty models ranged from 0.67 (for any hospitalization) to 0.84 (for any IADL [instrumental activities of daily living] help). Models using administrative data ranged from 0.71 (for any hospitalization) to 0.81 (for any IADL help). Discussion: Models based on existing administrative data appear to be as discriminate as survey-based models. Health care providers and insurance plans can effectively apply existing data resources to help identify high-risk individuals for potential care management interventions.