Buss Vera Helen, Varnfield Marlien, Harris Mark, Barr Margo
Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Herston, Australia.
Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.
JMIR Hum Factors. 2022 Jul 1;9(3):e38469. doi: 10.2196/38469.
Cardiovascular disease and type 2 diabetes mellitus are two of the most prevalent chronic conditions worldwide. An unhealthy lifestyle greatly contributes to someone's risk of developing these conditions. Mobile health is an emerging technology that can help deliver health promotion interventions to the population, for example, in the form of health apps.
The aim of this study was to test the feasibility of an app-based intervention for cardiovascular and diabetes risk awareness and prevention by measuring nonusage, dropout, adherence to app use, and usability of the app over 3 months.
Participants were eligible if they were aged 45 years or older, resided in Australia, were free of cardiovascular disease and diabetes, were fluent in English, and owned a smartphone. In the beginning, participants received an email with instructions on how to install the app and a user guide. After 3 months, they received an email with an invitation to an end-of-study survey. The survey included questions about general smartphone use and the user version of the Mobile Application Rating Scale. We analyzed app-generated and survey data by using descriptive and inferential statistics as well as thematic analysis for open-text comments.
Recruitment took place between September and October 2021. Of the 46 participants who consented to the study, 20 (44%) never used the app and 15 (33%) dropped out. The median age of the app users at baseline was 62 (IQR 56-67) years. Adherence to app use, that is, using the app at least once a week over 3 months, was 17% (8/46) of the total sample and 31% (8/26) of all app users. The mean app quality rating on the user version of the Mobile Application Rating Scale was 3.5 (SD 0.6) of 5 points. The app scored the highest for the information section and the lowest for the engagement section of the scale.
Nonusage and dropouts were too high, and the adherence was too low to consider the intervention in its current form feasible. Potential barriers that we identified include the research team not actively engaging with participants early in the study to verify that all participants could install the app, the intervention did not involve direct contact with health care professionals, and the app did not have enough interactive features.
心血管疾病和2型糖尿病是全球最普遍的两种慢性病。不健康的生活方式在很大程度上增加了人们患这些疾病的风险。移动健康是一种新兴技术,它可以帮助向人群提供健康促进干预措施,例如通过健康应用程序的形式。
本研究的目的是通过在3个月内测量应用程序的未使用情况、退出情况、应用程序使用的依从性以及应用程序的可用性,来测试基于应用程序的心血管和糖尿病风险意识及预防干预措施的可行性。
年龄在45岁及以上、居住在澳大利亚、无心血管疾病和糖尿病、英语流利且拥有智能手机的参与者符合条件。一开始,参与者收到一封包含应用程序安装说明和用户指南的电子邮件。3个月后,他们收到一封邀请参加研究结束调查的电子邮件。该调查包括有关一般智能手机使用情况以及移动应用程序评分量表用户版的问题。我们使用描述性和推断性统计以及对开放式文本评论的主题分析来分析应用程序生成的数据和调查数据。
招募工作于2021年9月至10月进行。在同意参与研究的46名参与者中,20名(44%)从未使用过该应用程序,15名(33%)退出。基线时应用程序用户的中位年龄为62岁(四分位间距56 - 67岁)。应用程序使用的依从性,即在3个月内每周至少使用一次应用程序,在总样本中为17%(8/46),在所有应用程序用户中为31%(8/26)。移动应用程序评分量表用户版上的应用程序质量平均评分为5分中的3.5分(标准差0.6)。该应用程序在量表的信息部分得分最高,在参与部分得分最低。
未使用和退出情况过高,依从性过低,无法认为当前形式的干预措施可行。我们确定的潜在障碍包括研究团队在研究早期未积极与参与者互动以核实所有参与者都能安装应用程序,干预措施未涉及与医疗保健专业人员的直接接触,并且应用程序没有足够的交互功能。