Retrospective evaluation of the world falls guidelines-algorithm in older adults.

ABSTRACT:

Background

The World Falls Guidelines (WFG) propose an algorithm that classifies patients as low-, intermediate-, and high-risk. We evaluated different operationalizations of the WFG algorithm and compared its predictive performance to other screening tools for falls, namely: the American Geriatrics Society and British Geriatrics Society (AGS/BGS) algorithm, the 3KQ on their own and fall history on its own.

Methods

We included data from 1509 adults aged ≥65 years from the population-based Longitudinal Aging Study Amsterdam. The outcome was ≥1 fall during 1-year follow-up, which was ascertained using fall calendars. The screening tools' items were retrospectively operationalized using baseline measures, using proxies where necessary.

Results

Sensitivity ranged between

SUBMITTER: van de Loo B 

PROVIDER: S-EPMC11488976 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature