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External validation of approaches to prediction of falls during hospital rehabilitation stays and development of a new simpler tool

Authors :
Angela Vratsistas-Curto
Anne Tiedemann
Daniel Treacy
Stephen R. Lord
Cathie Sherrington
Source :
Journal of Rehabilitation Medicine, Vol 50, Iss 2, Pp 216-222 (2017)
Publication Year :
2017
Publisher :
Medical Journals Sweden, 2017.

Abstract

Objectives: To test the external validity of 4 approaches to fall prediction in a rehabilitation setting (Predict_FIRST, Ontario Modified STRATIFY (OMS), physiotherapists’ judgement of fall risk (PT_Risk), and falls in the past year (Past_Falls)), and to develop and test the validity of a simpler tool for fall prediction in rehabilitation (Predict_CM2). Participants: A total of 300 consecutively-admitted rehabilitation inpatients. Methods: Prospective inception cohort study. Falls during the rehabilitation stay were monitored. Potential predictors were extracted from medical records. Results: Forty-one patients (14%) fell during their rehabilitation stay. The external validity, area under the receiver operating characteristic curve (AUC), for predicting future fallers was: 0.71 (95% confidence interval (95% CI): 0.61–0.81) for OMS (Total_Score); 0.66 (95% CI: 0.57–0.74) for Predict_FIRST; 0.65 (95% CI 0.57–0.73) for PT_Risk; and 0.52 for Past_Falls (95% CI: 0.46–0.60). A simple 3-item tool (Predict_CM2) was developed from the most predictive individual items (impaired mobility/transfer ability, impaired cognition, and male sex). The accuracy of Predict_CM2 was 0.73 (95% CI: 0.66–0.81), comparable to OMS (Total_Score) (p = 0.52), significantly better than Predict_FIRST (p = 0.04), and Past_Falls (p

Details

Language :
English
ISSN :
16501977 and 16512081
Volume :
50
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Rehabilitation Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.20ac9f3f82f64afab12a6fba0201b890
Document Type :
article
Full Text :
https://doi.org/10.2340/16501977-2290