{"title":"Predicting Falls in Older Adults with an Accelerometer-Based Smartphone App","authors":"K. Pooranawatthanakul, A. Siriphorn","doi":"10.1080/02703181.2022.2160041","DOIUrl":null,"url":null,"abstract":"Abstract Purpose This study investigated the accuracy of an accelerometer-based smartphone application for predicting the risk of falls in older adults. Methods Eighty community-dwelling older adults (70.05 ± 4.5 years) were assessed using an accelerometer-based smartphone application for balance assessment at baseline, which included 1) the Modified Clinical Test of Sensory Interaction in Balance (MCTSIB), 2) a single-leg stance (SLST), and 3) limit of stability (LOS) test. The fall incidence during a 6-month follow-up was recorded. The area under the receiver operating characteristic curve (AUC) was used to determine accuracy. Results The accuracy in predicting falls of all assessments was high (AUC = 0.78–0.99). The MCTSIB had the highest AUC (0.99) compared with the SLST (0.86) and the LOS test (0.78). The MCTSIB had a cutoff score of 8.04, sensitivity of 100%, and specificity of 98%. Conclusion The accelerometer-based smartphone application could predict falls in older adults with excellent accuracy.","PeriodicalId":45387,"journal":{"name":"PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS","volume":"41 1","pages":"432 - 445"},"PeriodicalIF":0.3000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02703181.2022.2160041","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
Abstract
Abstract Purpose This study investigated the accuracy of an accelerometer-based smartphone application for predicting the risk of falls in older adults. Methods Eighty community-dwelling older adults (70.05 ± 4.5 years) were assessed using an accelerometer-based smartphone application for balance assessment at baseline, which included 1) the Modified Clinical Test of Sensory Interaction in Balance (MCTSIB), 2) a single-leg stance (SLST), and 3) limit of stability (LOS) test. The fall incidence during a 6-month follow-up was recorded. The area under the receiver operating characteristic curve (AUC) was used to determine accuracy. Results The accuracy in predicting falls of all assessments was high (AUC = 0.78–0.99). The MCTSIB had the highest AUC (0.99) compared with the SLST (0.86) and the LOS test (0.78). The MCTSIB had a cutoff score of 8.04, sensitivity of 100%, and specificity of 98%. Conclusion The accelerometer-based smartphone application could predict falls in older adults with excellent accuracy.
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.