Simulating the effects of a clinical guidelines screening algorithm for fall risk in community dwelling older adults.

ABSTRACT:

Background

The current guidelines for fall prevention in community-dwelling older adults issued by the American Geriatrics Society and British Geriatrics Society (AGS/BGS) indicate an algorithm for identifying who is at increased risk of falling. The predictive accuracy of this algorithm has never been assessed, nor have the consequences that its introduction in clinical practice would bring about.

Aims

To evaluate this risk screening algorithm, estimating its predictive accuracy and its potential impact.

Methods

The analyses are based on 438 community-dwelling older adults, participating in the InCHIANTI study. We analysed different tests for gait and balance assessment. We compared the AGS/BGS algorithm with alternative strategies for fall prevention not based on fa

SUBMITTER: Palumbo P 

PROVIDER: S-EPMC6661027 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature