Measuring frailty: a comparison of the cumulative deficit model of frailty in survey and routine data.

ABSTRACT:

Purpose

Frailty, a state of increased vulnerability to adverse health outcomes, impacts individuals and healthcare systems. The cumulative deficit model provides a flexible frailty measure but its application across diverse data remains underexplored. This study compares frailty indices derived from survey and routine data.

Methods

Frailty indices in the Clinical Practice Research Datalink (CPRD) Aurum (N = 1,625,677) and the English Longitudinal Study of Ageing (ELSA) (N = 5190) were compared for adults aged 65 + in England. Deficits were categorised as "one-to-one", "one-to-many", and "one-to-none". Age-sex-standardised deficit prevalence, frailty distribution and associations with demographics were analysed using summary statistics and regression.

Results

Mean frai

SUBMITTER: Johnson L 

PROVIDER: S-EPMC12528269 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature