Kevin Nicholas , Valerie Sparkes , Katy Hamana , Mohammad Al-Amri , Kate Button
{"title":"物理治疗师的经验和可接受的临床传感器为基础的运动学反馈工具包的运动反馈康复后,前交叉韧带重建的人","authors":"Kevin Nicholas , Valerie Sparkes , Katy Hamana , Mohammad Al-Amri , Kate Button","doi":"10.1016/j.ipemt.2025.100034","DOIUrl":null,"url":null,"abstract":"<div><div>Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction.</div></div><div><h3>Background</h3><div>After knee ligament repair many patients do not recover. Tailored physiotherapy treatments developed from accurate kinematic measurement providing individualised movement feedback may improve outcomes. We have developed a sensor-based kinematic feedback toolkit that generates visual quantifiable data giving precise feedback regarding real time multi-planar kinematic data in the clinical setting and we present physiotherapist opinions about this tool.</div></div><div><h3>Objective</h3><div>To gather physiotherapist experience and acceptance of a sensor-based kinematic feedback toolkit for anterior cruciate ligament injury rehabilitation to inform tool development for clinical practice</div></div><div><h3>Design and participants</h3><div>Semi-structured interviews gathered experiences of twelve physiotherapists who used the toolkit for patients undergoing anterior cruciate ligament rehabilitation</div></div><div><h3>Findings</h3><div>Four themes were identified (1) tool kit usability and future design considerations; (2) clinical integration and decision-making; (3) behaviour change; and (4) future use of biomechanical technology in clinical practice.</div></div><div><h3>Conclusion</h3><div>The sensor-based biomechanical feedback toolkit report was perceived to be usable and acceptable. Physiotherapists could identify biomechanical movement compensations in patients that could lead to a more individualised targeted treatment approach. Barriers focused on file sharing, IT integration, and compatibility to access and view the digital report. Recommendations were to determine patient acceptance and implementation of real-time data collection in clinical settings for patients and Physiotherapists.</div></div>","PeriodicalId":73507,"journal":{"name":"IPEM-translation","volume":"15 ","pages":"Article 100034"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction\",\"authors\":\"Kevin Nicholas , Valerie Sparkes , Katy Hamana , Mohammad Al-Amri , Kate Button\",\"doi\":\"10.1016/j.ipemt.2025.100034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction.</div></div><div><h3>Background</h3><div>After knee ligament repair many patients do not recover. Tailored physiotherapy treatments developed from accurate kinematic measurement providing individualised movement feedback may improve outcomes. We have developed a sensor-based kinematic feedback toolkit that generates visual quantifiable data giving precise feedback regarding real time multi-planar kinematic data in the clinical setting and we present physiotherapist opinions about this tool.</div></div><div><h3>Objective</h3><div>To gather physiotherapist experience and acceptance of a sensor-based kinematic feedback toolkit for anterior cruciate ligament injury rehabilitation to inform tool development for clinical practice</div></div><div><h3>Design and participants</h3><div>Semi-structured interviews gathered experiences of twelve physiotherapists who used the toolkit for patients undergoing anterior cruciate ligament rehabilitation</div></div><div><h3>Findings</h3><div>Four themes were identified (1) tool kit usability and future design considerations; (2) clinical integration and decision-making; (3) behaviour change; and (4) future use of biomechanical technology in clinical practice.</div></div><div><h3>Conclusion</h3><div>The sensor-based biomechanical feedback toolkit report was perceived to be usable and acceptable. Physiotherapists could identify biomechanical movement compensations in patients that could lead to a more individualised targeted treatment approach. Barriers focused on file sharing, IT integration, and compatibility to access and view the digital report. Recommendations were to determine patient acceptance and implementation of real-time data collection in clinical settings for patients and Physiotherapists.</div></div>\",\"PeriodicalId\":73507,\"journal\":{\"name\":\"IPEM-translation\",\"volume\":\"15 \",\"pages\":\"Article 100034\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IPEM-translation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667258825000020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IPEM-translation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667258825000020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction
Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction.
Background
After knee ligament repair many patients do not recover. Tailored physiotherapy treatments developed from accurate kinematic measurement providing individualised movement feedback may improve outcomes. We have developed a sensor-based kinematic feedback toolkit that generates visual quantifiable data giving precise feedback regarding real time multi-planar kinematic data in the clinical setting and we present physiotherapist opinions about this tool.
Objective
To gather physiotherapist experience and acceptance of a sensor-based kinematic feedback toolkit for anterior cruciate ligament injury rehabilitation to inform tool development for clinical practice
Design and participants
Semi-structured interviews gathered experiences of twelve physiotherapists who used the toolkit for patients undergoing anterior cruciate ligament rehabilitation
Findings
Four themes were identified (1) tool kit usability and future design considerations; (2) clinical integration and decision-making; (3) behaviour change; and (4) future use of biomechanical technology in clinical practice.
Conclusion
The sensor-based biomechanical feedback toolkit report was perceived to be usable and acceptable. Physiotherapists could identify biomechanical movement compensations in patients that could lead to a more individualised targeted treatment approach. Barriers focused on file sharing, IT integration, and compatibility to access and view the digital report. Recommendations were to determine patient acceptance and implementation of real-time data collection in clinical settings for patients and Physiotherapists.