Chen Tzu Han, Lee Shin-Da, Ma Wei-Fen
PhD Program for Health Science and Industry, China Medical University, Taichung, Taiwan.
PhD Program in Healthcare Science, Department of Physical Therapy, China Medical University, Taichung, Taiwan.
JMIR Form Res. 2024 Apr 29;8:e51076. doi: 10.2196/51076.
The adoption of mobile health (mHealth) apps among older adults (>65 years) is rapidly increasing. However, use of such apps has not been fully effective in supporting people with dementia and their caregivers in their daily lives. This is mainly attributed to the heterogeneous quality of mHealth apps, highlighting the need for improved app quality in the development of dementia-related mHealth apps.
The aims of this study were (1) to assess the quality and content of mobile apps for dementia management and (2) to investigate the relationship between app quality and download numbers.
We reviewed dementia-related mHealth apps available in the Google Play Store and Apple App Store in Taiwan. The identified mobile apps were stratified according to a random sampling approach and evaluated by five independent reviewers with sufficient training and proficiency in the field of mHealth and the related health care sector. App quality was scored according to the user version of the Mobile Application Rating Scale. A correlation analysis was then performed between the app quality score and number of app downloads.
Among the 17 apps that were evaluated, only one was specifically designed to provide dementia-related education. The mean score for the overall app quality was 3.35 (SD 0.56), with the engagement (mean 3.04, SD 0.82) and information (mean 3.14, SD 0.88) sections of the scale receiving the lowest ratings. Our analyses showed clear differences between the top three- and bottom three-rated apps, particularly in the entertainment and interest subsections of the engagement category where the ratings ranged from 1.4 to 5. The top three apps had a common feature in their interface, which included memory, attention, focus, calculation, and speed-training games, whereas the apps that received lower ratings were found to be deficient in providing adequate information. Although there was a correlation between the number of downloads (5000 or more) and app quality (t=4.087, P<.001), this may not be a significant determinant of the app's perceived impact.
The quality of dementia-related mHealth apps is highly variable. In particular, our results show that the top three quality apps performed well in terms of engagement and information, and they all received more than 5000 downloads. The findings of this study are limited due to the small sample size and possibility of disregarding exceptional occurrences. Publicly available expert ratings of mobile apps could help people with dementia and their caregivers choose a quality mHealth app.
老年人(>65岁)对移动健康(mHealth)应用程序的采用率正在迅速上升。然而,此类应用程序在支持痴呆症患者及其护理人员的日常生活方面尚未完全发挥有效作用。这主要归因于移动健康应用程序质量参差不齐,凸显了在开发与痴呆症相关的移动健康应用程序时提高应用程序质量的必要性。
本研究的目的是(1)评估用于痴呆症管理的移动应用程序的质量和内容,以及(2)调查应用程序质量与下载量之间的关系。
我们审查了台湾地区谷歌应用商店和苹果应用商店中与痴呆症相关的移动健康应用程序。根据随机抽样方法对识别出的移动应用程序进行分层,并由五名在移动健康领域和相关医疗保健部门接受过充分培训且熟练的独立评审员进行评估。应用程序质量根据移动应用程序评分量表的用户版本进行评分。然后对应用程序质量得分与应用程序下载量进行相关性分析。
在评估的17款应用程序中,只有一款专门设计用于提供与痴呆症相关的教育。应用程序总体质量的平均得分为3.35(标准差0.56),量表中的参与度(平均3.04,标准差0.82)和信息(平均3.14,标准差)部分得分最低。我们的分析显示,排名前三和后三名的应用程序之间存在明显差异,特别是在参与度类别的娱乐和兴趣子类别中,评分范围为1.4至5。排名前三的应用程序在界面上有一个共同特征,其中包括记忆、注意力、专注力、计算和速度训练游戏,而评分较低的应用程序被发现缺乏足够的信息。虽然下载量(5000次或更多)与应用程序质量之间存在相关性(t=4.087,P<.001),但这可能不是应用程序感知影响的重要决定因素。
与痴呆症相关的移动健康应用程序质量差异很大。特别是,我们的结果表明,排名前三的高质量应用程序在参与度和信息方面表现良好,并且它们的下载量都超过了5000次。由于样本量小以及可能忽略特殊情况,本研究的结果有限。公开可用的移动应用程序专家评级可以帮助痴呆症患者及其护理人员选择高质量的移动健康应用程序。