{"title":"Remote Sensor-Based Monitoring in Low Back Pain Management: A Review of Outcomes Related to Quality of Life and Rehabilitation Care.","authors":"Himanshu Gakhar, Sarika Bhati, Sonia Pawaria","doi":"10.1002/msc.70168","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Low back pain (LBP) is one of the most prevalent musculoskeletal conditions globally, often leading to diminished quality of life, reduced physical function, and increased healthcare utilization. Recent advancements in remote sensor-based technologies have introduced innovative methods for continuous monitoring and personalised rehabilitation of individuals with LBP.</p><p><strong>Objective: </strong>This Narrative review aims to explore and synthesize current evidence on the use of remote sensor-based monitoring in the management of low back pain, with a focus on outcomes related to quality of life, functional recovery, and patient-centred care.</p><p><strong>Methods: </strong>A systematic search was performed across four major databases-PubMed, Scopus, Web of Science, and Google Scholar-for studies published between 2010 and 2025. Search terms included low back pain, remote monitoring, wearable sensors, digital health, and rehabilitation outcomes. Inclusion criteria comprised randomized controlled trials, cohort studies, systematic reviews, scoping and literature reviews that examined sensor-driven interventions in outpatient or home-based LBP rehabilitation settings.</p><p><strong>Results: </strong>The review identified evidence supporting the use of wearable sensors in enhancing patient engagement, tracking physical activity, and enabling real-time feedback during exercises. Improvements were noted in pain management, functional mobility, and patient-reported quality of life. Moreover, remote monitoring promoted adherence and early detection of relapses. Nonetheless, heterogeneity in sensor types, data interpretation, and outcome reporting was observed across studies.</p><p><strong>Conclusion: </strong>Remote sensor-based monitoring holds significant potential to complement conventional rehabilitation strategies for low back pain. Future research should prioritise standardized frameworks, integration into clinical pathways, and evaluation of long-term cost-effectiveness and patient acceptability.</p>","PeriodicalId":46945,"journal":{"name":"Musculoskeletal Care","volume":"23 3","pages":"e70168"},"PeriodicalIF":1.5000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Musculoskeletal Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/msc.70168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Low back pain (LBP) is one of the most prevalent musculoskeletal conditions globally, often leading to diminished quality of life, reduced physical function, and increased healthcare utilization. Recent advancements in remote sensor-based technologies have introduced innovative methods for continuous monitoring and personalised rehabilitation of individuals with LBP.
Objective: This Narrative review aims to explore and synthesize current evidence on the use of remote sensor-based monitoring in the management of low back pain, with a focus on outcomes related to quality of life, functional recovery, and patient-centred care.
Methods: A systematic search was performed across four major databases-PubMed, Scopus, Web of Science, and Google Scholar-for studies published between 2010 and 2025. Search terms included low back pain, remote monitoring, wearable sensors, digital health, and rehabilitation outcomes. Inclusion criteria comprised randomized controlled trials, cohort studies, systematic reviews, scoping and literature reviews that examined sensor-driven interventions in outpatient or home-based LBP rehabilitation settings.
Results: The review identified evidence supporting the use of wearable sensors in enhancing patient engagement, tracking physical activity, and enabling real-time feedback during exercises. Improvements were noted in pain management, functional mobility, and patient-reported quality of life. Moreover, remote monitoring promoted adherence and early detection of relapses. Nonetheless, heterogeneity in sensor types, data interpretation, and outcome reporting was observed across studies.
Conclusion: Remote sensor-based monitoring holds significant potential to complement conventional rehabilitation strategies for low back pain. Future research should prioritise standardized frameworks, integration into clinical pathways, and evaluation of long-term cost-effectiveness and patient acceptability.
背景：腰痛（LBP）是全球最普遍的肌肉骨骼疾病之一，通常导致生活质量下降、身体功能下降和医疗保健利用率增加。基于遥感技术的最新进展为LBP患者的持续监测和个性化康复引入了创新方法。目的：本综述旨在探索和综合目前基于遥感监测的下腰痛管理的证据，重点关注与生活质量、功能恢复和以患者为中心的护理相关的结果。方法：通过四个主要数据库（pubmed、Scopus、Web of Science和谷歌scholar）对2010年至2025年间发表的研究进行系统搜索。搜索词包括腰痛、远程监测、可穿戴传感器、数字健康和康复结果。纳入标准包括随机对照试验、队列研究、系统综述、范围界定和文献综述，这些文献综述检查了门诊或家庭腰痛康复环境中传感器驱动的干预措施。结果：该综述确定了支持可穿戴传感器在提高患者参与度、跟踪身体活动和实现运动期间实时反馈方面使用的证据。疼痛管理、功能活动和患者报告的生活质量均有改善。此外，远程监测促进了依从性和早期发现复发。尽管如此，在所有研究中都观察到传感器类型、数据解释和结果报告的异质性。结论：基于遥感的监测具有重要的潜力，可以补充传统的腰痛康复策略。未来的研究应优先考虑标准化框架，整合到临床途径中，并评估长期成本效益和患者可接受性。
期刊介绍：
Musculoskeletal Care is a peer-reviewed journal for all health professionals committed to the clinical delivery of high quality care for people with musculoskeletal conditions and providing knowledge to support decision making by professionals, patients and policy makers. This journal publishes papers on original research, applied research, review articles and clinical guidelines. Regular topics include patient education, psychological and social impact, patient experiences of health care, clinical up dates and the effectiveness of therapy.
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