物理康复移动应用程序的可用性评估方法:综述。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-10-04 DOI:10.2196/49449
Sylvia Hach, Gemma Alder, Verna Stavric, Denise Taylor, Nada Signal
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引用次数: 0

摘要

背景:可用性被认为是移动医疗(mHealth)干预成功与否的决定因素之一。目前已有多篇关于不同移动医疗解决方案可用性评估方法的系统性综述。然而,这部分文献缺乏综述,导致临床医生和开发人员在分析和总结大量系统综述时耗费大量时间和精力:本研究旨在对研究移动医疗干预(包括身体康复)中可用性评估工具或测量工具的系统综述进行总结:方法:根据已发布的注册协议进行总综述。从 2015 年 1 月到 2023 年 4 月,对 PubMed、Cochrane、IEEE Xplore、Epistemonikos、Web of Science 和 CINAHL Complete 进行了基于主题的检索,以寻找调查移动健康干预(包括体育锻炼康复)中可用性评估工具的系统综述。资格筛选包括日期、语言、参与者和文章类型。完成数据提取和方法学质量评估(AMSTAR 2 [A Measurement Tool to Assess Systematic Reviews 2]),并制表进行综合:结果:共纳入了12篇系统综述,其中3篇(25%)未引用任何可用性理论框架,其余(9篇,75%)最常引用的是ISO框架。样本共参考了32种可用性评估工具、66种定制工具以及混合工具。9种(28%)工具的心理测量特性信息具有令人满意的内部一致性和结构有效性。但缺乏可靠性、响应性和跨文化有效性数据。系统综述的方法学质量有限,有 8 项(67%)研究存在 2 个或 2 个以上的关键缺陷:结论:移动医疗康复的可用性评估存在很大差异,而且往往缺乏与理论模型的联系。定制工具的使用非常普遍,而现有工具往往没有显示出足够的心理测量强度。因此,现有的移动医疗可用性评估很难进行比较。建议使用多种方法进行可用性评估,在选择可用性评估工具时,重点明确参考其理论基础和可接受的心理测量特性。在移动医疗工具开发的整个阶段,研究人员、开发人员和临床医生之间更紧密的合作将有助于实现这一目标:ProCORD42022338785; https://www.crd.york.ac.uk/prospero/#recordDetails.
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Usability Assessment Methods for Mobile Apps for Physical Rehabilitation: Umbrella Review.

Background: Usability has been touted as one determiner of success of mobile health (mHealth) interventions. Multiple systematic reviews of usability assessment approaches for different mHealth solutions for physical rehabilitation are available. However, there is a lack of synthesis in this portion of the literature, which results in clinicians and developers devoting a significant amount of time and effort in analyzing and summarizing a large body of systematic reviews.

Objective: This study aims to summarize systematic reviews examining usability assessment instruments, or measurements tools, in mHealth interventions including physical rehabilitation.

Methods: An umbrella review was conducted according to a published registered protocol. A topic-based search of PubMed, Cochrane, IEEE Xplore, Epistemonikos, Web of Science, and CINAHL Complete was conducted from January 2015 to April 2023 for systematic reviews investigating usability assessment instruments in mHealth interventions including physical exercise rehabilitation. Eligibility screening included date, language, participant, and article type. Data extraction and assessment of the methodological quality (AMSTAR 2 [A Measurement Tool to Assess Systematic Reviews 2]) was completed and tabulated for synthesis.

Results: A total of 12 systematic reviews were included, of which 3 (25%) did not refer to any theoretical usability framework and the remaining (n=9, 75%) most commonly referenced the ISO framework. The sample referenced a total of 32 usability assessment instruments and 66 custom-made, as well as hybrid, instruments. Information on psychometric properties was included for 9 (28%) instruments with satisfactory internal consistency and structural validity. A lack of reliability, responsiveness, and cross-cultural validity data was found. The methodological quality of the systematic reviews was limited, with 8 (67%) studies displaying 2 or more critical weaknesses.

Conclusions: There is significant diversity in the usability assessment of mHealth for rehabilitation, and a link to theoretical models is often lacking. There is widespread use of custom-made instruments, and preexisting instruments often do not display sufficient psychometric strength. As a result, existing mHealth usability evaluations are difficult to compare. It is proposed that multimethod usability assessment is used and that, in the selection of usability assessment instruments, there is a focus on explicit reference to their theoretical underpinning and acceptable psychometric properties. This could be facilitated by a closer collaboration between researchers, developers, and clinicians throughout the phases of mHealth tool development.

Trial registration: PROSPERO CRD42022338785; https://www.crd.york.ac.uk/prospero/#recordDetails.

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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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