The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review.

ABSTRACT:

Background

Falls in older adults remain a pressing health concern. With advancements in data analytics and increasing uptake of electronic health records, developing comprehensive predictive models for fall risk is now possible. We aimed to systematically identify studies involving the development and implementation of predictive falls models which used routinely collected electronic health record data in home-based, community and residential aged care settings.

Methods

A systematic search of entries in Cochrane Library, CINAHL, MEDLINE, Scopus, and Web of Science was conducted in July 2020 using search terms relevant to aged care, prediction, and falls. Selection criteria included English-language studies, published in peer-reviewed journals, had an outcome of falls, and in

SUBMITTER: Seaman K 

PROVIDER: S-EPMC8923829 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature