基于行为疗法的膝骨关节炎患者康复应用:系统回顾

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Dian Zhu, Jianan Zhao, Mingxuan Wang, Bochen Cao, Wenhui Zhang, Yunlong Li, Chenqi Zhang, Ting Han
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引用次数: 0

摘要

背景:开发基于行为疗法的数字应用程序,为膝关节骨关节炎(KOA)患者提供支持,在康复领域引起了越来越多的关注。本文对基于行为疗法的膝关节骨关节炎患者数字应用研究进行了系统综述。目的:本综述旨在描述相关数字应用程序的特点,特别关注行为疗法、数字交互技术和用户参与设计的现状。其次是总结数字应用的干预结果和用户评估。研究方法以 "膝关节骨关节炎"、"行为疗法 "和 "数字化 "为关键词,在以下数据库中进行了系统的文献检索(2013 年 1 月至 2023 年 7 月):Web of Science、Embase、Science Direct、Ovid 和 PubMed。采用混合方法评估工具(MMAT)评估证据质量。两名研究人员独立筛选和提取数据。结果共有 36 项研究符合纳入标准,并对其进行了进一步分析。在开发数字应用程序时,行为改变技术(BCT)和认知行为疗法(CBT)经常被结合使用。最普遍的领域是目标和计划(31 项)以及重复和替代(27 项),它们经常被用于制定体育锻炼(PA)目标和坚持体育锻炼。最普遍的组合策略是应用程序/网站加短信/电话/电子邮件(人数=12),这具有巨大的潜力。这一领域的应用设计具有显著优势,主要体现在减轻疼痛(24 人)、减少身体功能障碍(21 人)和提高 PA 水平(12 人)等方面。此外,在制定设计策略时,必须考虑利益相关者的观点,特别是针对研究中阐明的应用设计中已发现的不足之处。结论:研究结果表明,"目标与计划 "和 "重复与替代 "经常被用于制定运动目标和坚持运动行为。最常用的组合策略是应用程序/网站加短信/电话/电子邮件,这具有巨大的潜力。此外,考虑到多个利益相关者的要求各不相同,将他们纳入设计和开发阶段可能会增强用户体验。为了提高数字应用的有效性和可用性,我们提出了几项建议。首先,应通过整合多种行为疗法来确保对患者的全面护理,这些疗法包括康复过程的各个方面,如康复锻炼和状态监测。其次,治疗师可以通过加入更多智能算法来分析患者数据,从而受益于更精确的建议。第三,实施范围应从家庭环境扩大到更广泛的社会社区康复环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rehabilitation Applications Based on Behavioral Therapy for People With Knee Osteoarthritis: Systematic Review
Background: The development of digital applications based on behavioral therapies to support patients with knee osteoarthritis (KOA) has attracted increasing attention in the field of rehabilitation. This paper presents a systematic review of research on digital applications based on behavioral therapies for people with KOA. Objective: This review aims to describe the characteristics of relevant digital applications, with a special focus on the current state of behavioral therapies, digital interaction technologies, and user participation in design. The secondary aim is to summarize intervention outcomes and user evaluations of digital applications. Methods: A systematic literature search was conducted using the keywords “Knee Osteoarthritis,” “Behavior Therapy,” and “Digitization” in the following databases (from January 2013 to July 2023): Web of Science, Embase, Science Direct, Ovid, and PubMed. The Mixed Methods Assessment Tool (MMAT) was used to assess the quality of evidence. Two researchers independently screened and extracted the data. Results: A total of 36 studies met the inclusion criteria and were further analyzed. Behavioral change techniques (BCTs) and cognitive behavioral therapy (CBT) were frequently combined when developing digital applications. The most prevalent areas were goals and planning (n=31) and repetition and substitution (n=27), which were frequently used to develop physical activity (PA) goals and adherence. The most prevalent combination strategy was app/website plus SMS text message/telephone/email (n=12), which has tremendous potential. This area of application design offers notable advantages, primarily manifesting in pain mitigation (n=24), reduction of physical dysfunction (n=21), and augmentation of PA levels (n=12). Additionally, when formulating design strategies, it is imperative to consider the perspectives of stakeholders, especially in response to the identified shortcomings in application design elucidated within the study. Conclusions: The results demonstrate that “goals and planning” and “repetition and substitution” are frequently used to develop PA goals and PA behavior adherence. The most prevalent combination strategy was app/website plus SMS text message/telephone/email, which has tremendous potential. Moreover, incorporating several stakeholders in the design and development stages might enhance user experience, considering the distinct variations in their requirements. To improve the efficacy and availability of digital applications, we have several proposals. First, comprehensive care for patients should be ensured by integrating multiple behavioral therapies that encompass various aspects of the rehabilitation process, such as rehabilitation exercises and status monitoring. Second, therapists could benefit from more precise recommendations by incorporating additional intelligent algorithms to analyze patient data. Third, the implementation scope should be expanded from the home environment to a broader social community rehabilitation setting.
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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