Power Niamh, Boivin Diane B, Perreault Michel
Research Centre, Douglas Mental Health University Institute, Montréal, Québec, Canada.
Department of Psychiatry, McGill University, Montréal, Québec, Canada.
J Clin Sleep Med. 2024 Aug 1;20(8):1379-1386. doi: 10.5664/jcsm.11202.
Dictated by consumer ratings and concealed algorithms, high levels of online visibility are granted to certain sleep apps on mainstream modes of app selection. Yet, it remains unclear to what extent these highly visible apps are evidence-based. The objectives of this review were to identify and describe the apps with the greatest online visibility when searching for a sleep app and to assess the claimed and actual research associated with them.
A keyword search was conducted in Google Play and Google search. Titles of the most visible apps were retrieved. App descriptions were examined to identify research claims made about app effectiveness on sleep and other health-related outcomes. A follow-up search on PubMed and Google Scholar was conducted to verify claims.
The keyword search identified 53 highly visible apps. Examination of app store descriptions found that no reference to research was made for the majority of apps (n = 45, 84.9%). Published research studies were available for just 3 apps, with most studies evaluating app impact on non sleep-related outcomes. There was some evidence to attesting to the effectiveness of 2 apps in improving sleep.
This review demonstrates how, when carrying out a typical search for a sleep app, information about the evidence base for the majority of highly visible apps is not available. Results highlight the need for the improvement of mainstream modes of app selection in terms of better consumer-app specificity and increased transparency regarding the access to information about the evidence base for apps.
Power N, Boivin DB, Perreault M. A shot in the dark: the impact of online visibility on the search for an effective sleep app. . 2024;20(8):1379-1386.
受消费者评分和隐藏算法的影响,某些睡眠应用程序在主流应用选择模式下具有较高的在线可见度。然而,这些高可见度的应用程序在多大程度上基于证据仍不清楚。本综述的目的是识别和描述在搜索睡眠应用程序时在线可见度最高的应用程序,并评估与它们相关的声称的和实际的研究。
在谷歌应用商店和谷歌搜索中进行关键词搜索。检索最具可见度的应用程序的标题。检查应用程序描述,以确定关于应用程序对睡眠和其他健康相关结果有效性的研究声称。在PubMed和谷歌学术上进行后续搜索以验证这些声称。
关键词搜索识别出53个高可见度的应用程序。对应用商店描述的检查发现,大多数应用程序(n = 45,84.9%)没有提及研究。仅有3个应用程序有已发表的研究,大多数研究评估的是应用程序对非睡眠相关结果的影响。有一些证据证明2个应用程序在改善睡眠方面的有效性。
本综述表明,在进行典型的睡眠应用程序搜索时,大多数高可见度应用程序的证据基础信息是不可用的。结果强调需要改进主流应用选择模式,以提高消费者与应用程序的匹配度,并增加关于应用程序证据基础信息获取方面的透明度。
Power N, Boivin DB, Perreault M. 盲目尝试:在线可见度对寻找有效睡眠应用程序的影响。. 2024;20(8):1379 - 1386。