Adherence to Usability and Accessibility Principles in Digital Health Applications for Patients With Diabetes: Systematic Review.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Sarah Louise Watson, Hanan Khalid Mofty, Michael Donnelly, Tunde Peto, Ruth Esther Hogg
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引用次数: 0

Abstract

Background: Health apps have the potential to enable people with diabetes to access care more easily, monitor their condition, and reduce the number of times they need to attend health care appointments. However, the development pipeline for apps may differ widely before the apps are released for use, due to limited funding, difficulty in obtaining iterative feedback from patients/users, and varying levels of developer expertise. In response to concerns about the quality and consistency of apps being released, two guidelines were created: the Digital Technology Assessment Criteria (DTAC) and the National Institute for Health and Care Excellence (NICE) Evidence Standards Framework. These two frameworks aim to standardize the development and evaluation of digital health technologies (DHTs). They outline core requirements, such as accessibility, clinical safety, data protection, interoperability, usability, and safeguarding, which help ensure that digital health apps are accessible, safe, effective, and suitable for real-world use.

Objective: This systematic review evaluated the performance of diabetes digital health apps, as presented in published studies, in terms of adherence to DTAC 2021 and NICE 2022 guidelines during development.

Methods: We systematically searched Embase and MEDLINE and identified 43 studies that met the inclusion criteria. Each study was assessed against 13 binary scoring criteria derived from the two frameworks.

Results: Our findings highlighted that 93% (n=40) of the studies met fewer than 40% of the recommended criteria. Specifically, 88.4% (n=38) studies did not report accurate and reliable measurements, 86% (n=37) omitted app accuracy validation, and 83.7% (n=36) failed to address inequalities considerations. Only 3 (7%) studies achieved scores between 7 and 9 out of a possible 13, and none fully adhered to the guideline criteria.

Conclusions: These results suggest a significant gap between digital health guidelines and real-world app development practices. We recommend the adoption of DTAC and NICE guidelines more widely and consistently during design and development. Additionally, we suggest that journals request that authors submit an adherence checklist alongside their manuscript to improve standardization and transparency across digital health publications.

Trial registration: PROSPERO CRD42022322040; https://www.crd.york.ac.uk/PROSPERO/view/CRD42022322040.

糖尿病患者数字健康应用中对可用性和可访问性原则的遵守:系统回顾。
背景:健康应用程序(或“应用程序”)有可能使糖尿病患者更容易获得护理,监测他们的状况并减少他们需要参加医疗保健预约的次数。然而,由于资金有限,难以从患者/用户那里获得反复反馈,以及开发人员的专业水平不一,应用程序的开发管道在发布之前可能会有很大差异。为了回应对发布的应用程序的质量和一致性的关注,制定了两个指南:数字技术评估标准(DTAC, 20211)和NICE证据标准框架(NICE,20222)。这些框架旨在使数字卫生技术的开发和评估标准化。它们概述了可访问性、临床安全、数据保护、互操作性、可用性和保障等核心要求,有助于确保数字健康应用程序可访问、安全、有效并适合实际使用。目的:本系统综述评估了已发表研究中糖尿病健康应用程序在开发过程中对DTAC 2021、1和NICE 20222指南的依从性。方法:系统检索EMBASE和Medline,筛选出43项符合纳入标准的研究。每个研究都是根据这两个框架衍生的13个二元评分标准进行评估的。结果:我们的研究结果强调,93%的研究符合推荐标准的不足40%。具体而言,88.4% (n=38)没有报告准确可靠的测量结果,86% (n= 37)省略了应用程序准确性验证,83.7% (n= 36)未能解决不平等问题。在可能的13分中,只有三个研究达到了7到9分,没有一个完全符合指导标准。结论:这些结果表明,数字健康指南与现实世界的应用程序开发实践之间存在显著差距。我们建议在设计和开发过程中更广泛和一致地采用这些标准。此外,我们建议期刊要求作者在其手稿中提交一份“依从性清单”,以提高数字健康出版物的标准化和透明度。临床试验:该审查于2022年4月在PROSPERO注册(CRD42022322040)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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