Show simple item record

dc.contributor.authorRobinson, Katie
dc.contributor.authorOgliari, Giulia
dc.contributor.authorMasud, Tahir
dc.date.accessioned2023-04-11T11:46:44Z
dc.date.available2023-04-11T11:46:44Z
dc.date.issued2022
dc.identifier.citationBeck Jepsen, D., Robinson, K., Ogliari, G., Montero-Odasso, M., Kamkar, N., Ryg, J., Freiberger, E. and Masud, T. (2022) 'Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility', BMC Geriatrics, 22(1), pp. 615. doi: 10.1186/s12877-022-03271-5.en_US
dc.identifier.issn1471-2318
dc.identifier.urihttp://hdl.handle.net/20.500.12904/16759
dc.descriptionIn the original publication, one author's name was formatted incorrectly. The article has since been corrected, with further information available here: https://doi.org/10.1186/s12877-022-03352-5 .en_US
dc.description.abstractBACKGROUND: To review the validated instruments that assess gait, balance, and functional mobility to predict falls in older adults across different settings. METHODS: Umbrella review of narrative- and systematic reviews with or without meta-analyses of all study types. Reviews that focused on older adults in any settings and included validated instruments assessing gait, balance, and functional mobility were included. Medical and allied health professional databases (MEDLINE, PsychINFO, Embase, and Cochrane) were searched from inception to April 2022. Two reviewers undertook title, abstract, and full text screening independently. Review quality was assessed through the Risk of Bias Assessment Tool for Systematic Reviews (ROBIS). Data extraction was completed in duplicate using a standardised spreadsheet and a narrative synthesis presented for each assessment tool. RESULTS: Among 2736 articles initially identified, 31 reviews were included; 11 were meta-analyses. Reviews were primarily of low quality, thus at high risk of potential bias. The most frequently reported assessments were: Timed Up and Go, Berg Balance Scale, gait speed, dual task assessments, single leg stance, functional Reach Test, tandem gait and stance and the chair stand test. Findings on the predictive ability of these tests were inconsistent across the reviews. CONCLUSIONS: In conclusion, we found that no single gait, balance or functional mobility assessment in isolation can be used to predict fall risk in older adults with high certainty. Moderate evidence suggests gait speed can be useful in predicting falls and might be included as part of a comprehensive evaluation for older adults. Copyright © 2022. The Author(s).
dc.description.urihttps://doi.org/10.1186/s12877-022-03271-5en_US
dc.language.isoenen_US
dc.subjectFalls preventionen_US
dc.subjectFalls risken_US
dc.titlePredicting falls in older adults: An umbrella review of instruments assessing gait, balance, and functional mobilityen_US
dc.typeArticleen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.versionVoRen_US
rioxxterms.versionofrecord10.1186/s12877-022-03271-5en_US
rioxxterms.typeJournal Article/Reviewen_US
refterms.dateFCD2023-04-11T11:46:45Z
refterms.versionFCDVoR
refterms.dateFOA2023-04-11T11:46:45Z
refterms.panelUnspecifieden_US
html.description.abstractBACKGROUND: To review the validated instruments that assess gait, balance, and functional mobility to predict falls in older adults across different settings. METHODS: Umbrella review of narrative- and systematic reviews with or without meta-analyses of all study types. Reviews that focused on older adults in any settings and included validated instruments assessing gait, balance, and functional mobility were included. Medical and allied health professional databases (MEDLINE, PsychINFO, Embase, and Cochrane) were searched from inception to April 2022. Two reviewers undertook title, abstract, and full text screening independently. Review quality was assessed through the Risk of Bias Assessment Tool for Systematic Reviews (ROBIS). Data extraction was completed in duplicate using a standardised spreadsheet and a narrative synthesis presented for each assessment tool. RESULTS: Among 2736 articles initially identified, 31 reviews were included; 11 were meta-analyses. Reviews were primarily of low quality, thus at high risk of potential bias. The most frequently reported assessments were: Timed Up and Go, Berg Balance Scale, gait speed, dual task assessments, single leg stance, functional Reach Test, tandem gait and stance and the chair stand test. Findings on the predictive ability of these tests were inconsistent across the reviews. CONCLUSIONS: In conclusion, we found that no single gait, balance or functional mobility assessment in isolation can be used to predict fall risk in older adults with high certainty. Moderate evidence suggests gait speed can be useful in predicting falls and might be included as part of a comprehensive evaluation for older adults. Copyright © 2022. The Author(s).en_US
rioxxterms.funder.project94a427429a5bcfef7dd04c33360d80cden_US


Files in this item

Thumbnail
Name:
Predicting falls in older adults. ...
Size:
1.348Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record