Tools for assessing fall risk in the elderly: a systematic review and meta-analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Seong-Hi | - |
dc.date.accessioned | 2021-08-11T12:44:05Z | - |
dc.date.available | 2021-08-11T12:44:05Z | - |
dc.date.issued | 2018-01 | - |
dc.identifier.issn | 1594-0667 | - |
dc.identifier.issn | 1720-8319 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6342 | - |
dc.description.abstract | The prevention of falls among the elderly is arguably one of the most important public health issues in today's aging society. The aim of this study was to assess which tools best predict the risk of falls in the elderly. Electronic searches were performed using Medline, EMBASE, the Cochrane Library, CINAHL, etc., using the following keywords: "fall risk assessment", "elderly fall screening", and "elderly mobility scale". The QUADAS-2 was applied to assess the internal validity of the diagnostic studies. Selected studies were meta-analyzed with MetaDisc 1.4. A total of 33 studies were eligible out of the 2,321 studies retrieved from selected databases. Twenty-six assessment tools for fall risk were used in the selected articles, and they tended to vary based on the setting. The fall risk assessment tools currently used for the elderly did not show sufficiently high predictive validity for differentiating high and low fall risks. The Berg Balance scale and Mobility Interaction Fall chart showed stable and high specificity, while the Downton Fall Risk Index, Hendrich II Fall Risk Model, St. Thomas's Risk Assessment Tool in Falling elderly inpatients, Timed Up and Go test, and Tinetti Balance scale showed the opposite results. We concluded that rather than a single measure, two assessment tools used together would better evaluate the characteristics of falls by the elderly that can occur due to a multitude of factors and maximize the advantages of each for predicting the occurrence of falls. | - |
dc.format.extent | 16 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer Verlag | - |
dc.title | Tools for assessing fall risk in the elderly: a systematic review and meta-analysis | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1007/s40520-017-0749-0 | - |
dc.identifier.scopusid | 2-s2.0-85016929082 | - |
dc.identifier.wosid | 000423384300001 | - |
dc.identifier.bibliographicCitation | Aging - Clinical and Experimental Research, v.30, no.1, pp 1 - 16 | - |
dc.citation.title | Aging - Clinical and Experimental Research | - |
dc.citation.volume | 30 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 16 | - |
dc.type.docType | Review | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Geriatrics & Gerontology | - |
dc.relation.journalWebOfScienceCategory | Geriatrics & Gerontology | - |
dc.subject.keywordPlus | OLDER-ADULTS | - |
dc.subject.keywordPlus | GO TEST | - |
dc.subject.keywordPlus | PREDICTIVE-VALIDITY | - |
dc.subject.keywordPlus | BALANCE SCALE | - |
dc.subject.keywordPlus | COMMUNITY | - |
dc.subject.keywordPlus | ACCURACY | - |
dc.subject.keywordPlus | RELIABILITY | - |
dc.subject.keywordPlus | INJURIES | - |
dc.subject.keywordPlus | STRATIFY | - |
dc.subject.keywordPlus | PEOPLE | - |
dc.subject.keywordAuthor | Accidental falls | - |
dc.subject.keywordAuthor | Older adults | - |
dc.subject.keywordAuthor | Sensitivity and specificity | - |
dc.subject.keywordAuthor | Meta-analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.