A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.

ABSTRACT:

Background

Numerous studies have identified risk factors for physical restraint (PR) use in older adults in long-term care facilities. Nevertheless, there is a lack of predictive tools to identify high-risk individuals.

Objective

We aimed to develop machine learning (ML)-based models to predict the risk of PR in older adults.

Methods

This study conducted a cross-sectional secondary data analysis based on 1026 older adults from 6 long-term care facilities in Chongqing, China, from July 2019 to November 2019. The primary outcome was the use of PR (yes or no), identified by 2 collectors' direct observation. A total of 15 candidate predictors (older adults' demographic and clinical factors) that could be commonly and easily collected from clinical practice were used to bu

SUBMITTER: Wang J 

PROVIDER: S-EPMC10131772 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature