预测第一次跌倒:验证长期护理中的新算法

IF 0.3 Q4 REHABILITATION
A. Kuspinar, J. Hirdes, K. Berg, C. McArthur
{"title":"预测第一次跌倒:验证长期护理中的新算法","authors":"A. Kuspinar, J. Hirdes, K. Berg, C. McArthur","doi":"10.1080/02703181.2021.1942391","DOIUrl":null,"url":null,"abstract":"Abstract Aim To determine the predictive validity of the 1stFall algorithm in long-term care (LTC) residents across four Canadian provinces. Methods This retrospective cohort study included all clients admitted to LTC between 2006-2017 with no history of falls in the past 30 days. The outcome was occurrence of a fall and logistic regression analysis was performed to assess predictive validity. Results A total of 199,997 LTC residents were studied (71% were >80 years old, 66% women, and 17% had severe cognitive impairment). For the total sample, clients in the 2nd, 3rd, 4th and 5th risk categories had 1.15, 1.58, 2.66, and 3.76 times greater odds of falling than the 1st category, respectively. Similar trends were observed across provinces. Conclusions 1stFall was developed to predict the risk of a first-time fall event in individuals with no history of a recent fall. 1stFall identified LTC residents at risk of a first-time fall, supporting its use in routine care.","PeriodicalId":45387,"journal":{"name":"PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS","volume":"39 1","pages":"409 - 420"},"PeriodicalIF":0.3000,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/02703181.2021.1942391","citationCount":"0","resultStr":"{\"title\":\"Predicting First Time Falls: Validating a Novel Algorithm in Long Term Care\",\"authors\":\"A. Kuspinar, J. Hirdes, K. Berg, C. McArthur\",\"doi\":\"10.1080/02703181.2021.1942391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Aim To determine the predictive validity of the 1stFall algorithm in long-term care (LTC) residents across four Canadian provinces. Methods This retrospective cohort study included all clients admitted to LTC between 2006-2017 with no history of falls in the past 30 days. The outcome was occurrence of a fall and logistic regression analysis was performed to assess predictive validity. Results A total of 199,997 LTC residents were studied (71% were >80 years old, 66% women, and 17% had severe cognitive impairment). For the total sample, clients in the 2nd, 3rd, 4th and 5th risk categories had 1.15, 1.58, 2.66, and 3.76 times greater odds of falling than the 1st category, respectively. Similar trends were observed across provinces. Conclusions 1stFall was developed to predict the risk of a first-time fall event in individuals with no history of a recent fall. 1stFall identified LTC residents at risk of a first-time fall, supporting its use in routine care.\",\"PeriodicalId\":45387,\"journal\":{\"name\":\"PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS\",\"volume\":\"39 1\",\"pages\":\"409 - 420\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2021-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/02703181.2021.1942391\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02703181.2021.1942391\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"REHABILITATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02703181.2021.1942391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"REHABILITATION","Score":null,"Total":0}
引用次数: 0

摘要

摘要目的确定1stWall算法在加拿大四个省的长期护理(LTC)居民中的预测有效性。方法这项回顾性队列研究包括2006-2017年间入住LTC的所有患者,在过去30年中没有跌倒史 天。结果是发生跌倒,并进行逻辑回归分析以评估预测有效性。结果共有199997名LTC居民接受了研究(71%的人年龄在80岁以上) 年龄,66%为女性,17%有严重认知障碍)。在总样本中,第二、第三、第四和第五风险类别的客户跌倒的几率分别是第一类别的1.15、1.58、2.66和3.76倍。各省也出现了类似的趋势。结论1stFall用于预测近期无跌倒史的个人首次跌倒事件的风险。1stFall确定了有首次跌倒风险的LTC居民,支持其在日常护理中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting First Time Falls: Validating a Novel Algorithm in Long Term Care
Abstract Aim To determine the predictive validity of the 1stFall algorithm in long-term care (LTC) residents across four Canadian provinces. Methods This retrospective cohort study included all clients admitted to LTC between 2006-2017 with no history of falls in the past 30 days. The outcome was occurrence of a fall and logistic regression analysis was performed to assess predictive validity. Results A total of 199,997 LTC residents were studied (71% were >80 years old, 66% women, and 17% had severe cognitive impairment). For the total sample, clients in the 2nd, 3rd, 4th and 5th risk categories had 1.15, 1.58, 2.66, and 3.76 times greater odds of falling than the 1st category, respectively. Similar trends were observed across provinces. Conclusions 1stFall was developed to predict the risk of a first-time fall event in individuals with no history of a recent fall. 1stFall identified LTC residents at risk of a first-time fall, supporting its use in routine care.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.30
自引率
0.00%
发文量
33
期刊介绍: This comprehensive journal is recognized for its useful balance of research and clinical practice articles. For more than twenty five years Physical & Occupational Therapy in Geriatrics has functioned as a forum for allied health professionals as well as others with a focus on rehabilitation of the geriatric client to share information, clinical experience, research, and therapeutic practice. Each issue focuses on current practice and emerging issues in the care of the older client, including rehabilitation and long-term care in institutional and community settings, and innovative programming; the entire range of problems experienced by the elderly; and the current skills needed for working with older clients.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信