康复护理期间使用的互联传感器技术现状:范围审查协议》。

IF 1.4 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Research Protocols Pub Date : 2024-10-24 DOI:10.2196/60496
Michelle R Rauzi, Rachael B Akay, Swapna Balakrishnan, Christi Piper, Denise Gobert, Alicia Flach
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引用次数: 0

摘要

背景:互联传感器技术可以捕捉原始数据,并利用机器学习或人工智能等先进的统计方法对其进行分析,从而生成可解释的行为或生理结果。以往对互联传感器技术的研究主要集中在设计、开发和验证方面。已发表的综述研究要么总结了针对特定行为(如体育锻炼)的通用技术解决方案,要么侧重于特定患者群体的远程监控解决方案:本研究旨在绘制一份研究地图,该地图侧重于使用互联传感器技术,通过为护理决策提供信息来增强康复服务:方法:将使用 "人群、概念和背景 "框架来定义纳入标准。2008年至今发表的相关文章将被纳入,条件是:(1)研究对象为成年人(人群);(2)干预措施至少使用了一种互联传感器技术,并涉及将数据传输给临床医生,以便利用这些数据为干预措施提供信息(概念);(3)干预措施属于康复范畴(背景)。将在 Embase 中建立初步搜索策略;同行评审;然后翻译成 Ovid MEDLINE ALL、Web of Science Core Collection 和 CINAHL。在筛选纳入文章之前,将删除重复的文章。两名独立审稿人将分两个阶段筛选文章:标题/摘要和全文。不一致之处将通过小组讨论解决。将从符合条件的文章中提取与人群、概念和背景相关的数据。将使用描述性统计来报告研究结果,相关结果将包括所使用的连接传感器的类型和频率以及数据共享的方法。其他详细信息将以叙述的方式进行总结,并以表格和图表的形式展示。主要合作伙伴将对结果进行审核,以加强解释和可信度:我们于 2024 年 2 月进行了初步搜索,以完善搜索策略。此次范围界定审查的结果预计将于 2024 年 10 月公布:范围界定审查的结果将确定关键的研究领域,以推动技术辅助康复领域的发展。审查结果还将支持开发一个纵向模型,以支持长期的健康成果:开放科学框架 jys53;https://osf.io/jys53.International 注册报告标识符 (irrid):DERR1-10.2196/60496.
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Current State of Connected Sensor Technologies Used During Rehabilitation Care: Protocol for a Scoping Review.

Background: Connected sensor technologies can capture raw data and analyze them using advanced statistical methods such as machine learning or artificial intelligence to generate interpretable behavioral or physiological outcomes. Previous research conducted on connected sensor technologies has focused on design, development, and validation. Published review studies have either summarized general technological solutions to address specific behaviors such as physical activity or focused on remote monitoring solutions in specific patient populations.

Objective: This study aimed to map research that focused on using connected sensor technologies to augment rehabilitation services by informing care decisions.

Methods: The Population, Concept, and Context framework will be used to define inclusion criteria. Relevant articles published between 2008 to the present will be included if (1) the study enrolled adults (population), (2) the intervention used at least one connected sensor technology and involved data transfer to a clinician so that the data could be used to inform the intervention (concept), and (3) the intervention was within the scope of rehabilitation (context). An initial search strategy will be built in Embase; peer reviewed; and then translated to Ovid MEDLINE ALL, Web of Science Core Collection, and CINAHL. Duplicates will be removed prior to screening articles for inclusion. Two independent reviewers will screen articles in 2 stages: title/abstract and full text. Discrepancies will be resolved through group discussion. Data from eligible articles relevant to population, concept, and context will be extracted. Descriptive statistics will be used to report findings, and relevant outcomes will include the type and frequency of connected sensor used and method of data sharing. Additional details will be narratively summarized and displayed in tables and figures. Key partners will review results to enhance interpretation and trustworthiness.

Results: We conducted initial searches to refine the search strategy in February 2024. The results of this scoping review are expected in October 2024.

Conclusions: Results from the scoping review will identify critical areas of inquiry to advance the field of technology-augmented rehabilitation. Results will also support the development of a longitudinal model to support long-term health outcomes.

Trial registration: Open Science Framework jys53; https://osf.io/jys53.

International registered report identifier (irrid): DERR1-10.2196/60496.

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