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Utility of performance-based outcome measures (PBOMs) used in fall risk assessment tools for older adults.

Authors :
Parcetich KM Jr
Miner DG
Paul A
Wildman L
Source :
Dialogues in health [Dialogues Health] 2022 Sep 15; Vol. 1, pp. 100043. Date of Electronic Publication: 2022 Sep 15 (Print Publication: 2022).
Publication Year :
2022

Abstract

This study investigated the diagnostic accuracy of different clusters of performance based outcome measures (PBOMs) recommended by two consensus-based guidelines: Stopping Elderly Accidents, Deaths, and Injuries (STEADI), and those recommended by a systematic review completed by the American Physical Therapy Association and Academy of Geriatric Physical Therapy (APTA-SR, APTA-SR3). 33 community-dwelling older adults (25 females, 8 males) aged mean 79.45 ± 7.64 years participated in this study. Participants completed a fall history questionnaire and were evaluated via a battery of PBOMs for comparative analysis. The diagnostic accuracy of each PBOM cluster was analyzed retrospectively (previous 1 year fall history) and prospectively (6 month follow up). Retrospective analysis revealed the APTA-SR3 had the highest clinical utility and diagnostic accuracy: Sp 88.24% (63.56-98.54), Sn 62.5% (35.43-84.8), LR+ 2.35 (1.22-4.53), LR- 0.19 (0.05-0.73), accuracy 70.22% (51.83-84.81). Prospective analysis revealed the cluster of the APTA-SR and APTA-SR3 had identical diagnostic accuracy: Sn 100% (39.76-100), Sp 43.75% (19.75-70.12), LR+ 1.78 (1.15-2.74), LR- 0 (0), accuracy 60.62% (36.63-81.36). The APTA-SR 3 cluster demonstrated the highest diagnostic accuracy and in this study was the most effective and efficient group of PBOMs to identify fall risk in community dwelling older adults.<br />Competing Interests: The authors have no declaration of interest to report.<br /> (© 2022 The Authors.)

Details

Language :
English
ISSN :
2772-6533
Volume :
1
Database :
MEDLINE
Journal :
Dialogues in health
Publication Type :
Academic Journal
Accession number :
38515889
Full Text :
https://doi.org/10.1016/j.dialog.2022.100043