Faieta Julie, Hand Brittany N, Schmeler Mark, Onate James, Digiovine Carmen
Department of Rehabilitation, Université Laval.
Centre interdisciplinaire de recherche en réadaptation et en intégration sociale (CIRRIS).
J Rehabil Assist Technol Eng. 2020 Sep 23;7:2055668320938604. doi: 10.1177/2055668320938604. eCollection 2020 Jan-Dec.
This brief report provides an overview of the development and structure of the Health App Review Tool. Methods: The Health App Review Tool has been designed to assess smart phone health apps according to their compatibility to individuals within the Alzheimer's disease community. Specifically, app features and functions are characterized according to their appropriateness to the needs, abilities, and preferences of potential users. The Health App Review Tool is comprised of two components, the App and User Assessment; each component includes four complementary domains. Items in these domains can be compared between App and User assessments using a scoring key that will produce a match score. The score indicates the level of appropriateness in reference to the app's ability to meet the user's needs. The Health App Review Tool was designed using available evidence and stakeholder preference data to ensure a user-centered design. The result was the development of a tool built on evidence and informed by the perceptions and preferences of those within and working with the Alzheimer's disease population. App and User domains include usefulness, complexity, accessibility, and external variables. This unique matching approach is anticipated to significantly impact individualized, client-centered care. We anticipate that this study will serve as a model for future development of technology matching tools for other diagnostic populations. The Health App Review Tool was designed using available evidence and stakeholder preference data to ensure a user-centered design. The result was the development of a tool built on evidence and informed by the perceptions and preferences of those within and working with the Alzheimer's disease population. App and User domains include usefulness, complexity, accessibility, and external variables. This unique matching approach is anticipated to significantly impact individualized, client-centered care. We anticipate that this study will serve as a model for future development of technology matching tools for other diagnostic populations.
本简要报告概述了健康应用程序审查工具的开发与结构。方法：健康应用程序审查工具旨在根据智能手机健康应用程序与阿尔茨海默病群体中个体的兼容性进行评估。具体而言，应用程序的功能和特性是根据其对潜在用户的需求、能力和偏好的适用性来确定的。健康应用程序审查工具由两个部分组成，即应用程序评估和用户评估；每个部分都包括四个互补的领域。这些领域中的项目可以使用评分键在应用程序评估和用户评估之间进行比较，从而得出匹配分数。该分数表明了应用程序满足用户需求能力的适用程度。健康应用程序审查工具是利用现有证据和利益相关者的偏好数据设计的，以确保以用户为中心的设计。结果是开发了一种基于证据并受阿尔茨海默病群体内部及相关工作人员的认知和偏好影响的工具。应用程序和用户领域包括有用性、复杂性、可及性和外部变量。这种独特的匹配方法预计将对个性化的、以客户为中心的护理产生重大影响。我们预计这项研究将为其他诊断群体的技术匹配工具的未来开发提供一个模型。健康应用程序审查工具是利用现有证据和利益相关者的偏好数据设计的，以确保以用户为中心的设计。结果是开发了一种基于证据并受阿尔茨海默病群体内部及相关工作人员的认知和偏好影响的工具。应用程序和用户领域包括有用性、复杂性、可及性和外部变量。这种独特的匹配方法预计将对个性化的、以客户为中心的护理产生重大影响。我们预计这项研究将为其他诊断群体的技术匹配工具的未来开发提供一个模型。
