Development and validation of a 5-year mortality prediction model using regularized regression and Medicare data.

ABSTRACT:

Purpose

De-implementation of low-value services among patients with limited life expectancy is challenging. Robust mortality prediction models using routinely collected health care data can enhance health care stakeholders' ability to identify populations with limited life expectancy. We developed and validated a claims-based prediction model for 5-year mortality using regularized regression methods.

Methods

Medicare beneficiaries age 66 or older with an office visit and at least 12 months of pre-visit continuous Medicare A/B enrollment were identified in 2008. Five-year mortality was assessed through 2013. Secondary outcomes included 30-, 90-, and 180-day and 1-year mortality. Claims-based predictors, including comorbidities and indicators of disability, frailty, and functi

SUBMITTER: Lund JL 

PROVIDER: S-EPMC6519458 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature