Using claims data to predict dependency in activities of daily living as a proxy for frailty.

ABSTRACT:

Purpose

Estimating drug effectiveness and safety among older adults in population-based studies using administrative health care claims can be hampered by unmeasured confounding as a result of frailty. A claims-based algorithm that identifies patients likely to be dependent, a proxy for frailty, may improve confounding control. Our objective was to develop an algorithm to predict dependency in activities of daily living (ADL) in a sample of Medicare beneficiaries.

Methods

Community-dwelling respondents to the 2006 Medicare Current Beneficiary Survey, >65 years old, with Medicare Part A, B, home health, and hospice claims were included. ADL dependency was defined as needing help with bathing, eating, walking, dressing, toileting, or transferring. Potential predictors were dem

SUBMITTER: Faurot KR 

PROVIDER: S-EPMC4293227 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature