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Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries

机译:使用内置智能手机传感器进行诊断和治疗的移动健康应用程序评估:国际策划健康应用程序库中列出的应用程序系统调查

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Background More than a million health and well-being apps are available from the Apple and Google app stores. Some apps use built-in mobile phone sensors to generate health data. Clinicians and patients can find information regarding safe and effective mobile health (mHealth) apps in third party–curated mHealth app libraries. Objective These independent Web-based repositories guide app selection from trusted lists, but do they offer apps using ubiquitous, low-cost smartphone sensors to improve health? This study aimed to identify the types of built-in mobile phone sensors used in apps listed on curated health app libraries, the range of health conditions these apps address, and the cross-platform availability of the apps. Methods This systematic survey reviewed three such repositories (National Health Service Apps Library, AppScript, and MyHealthApps), assessing the availability of apps using built-in mobile phone sensors for the diagnosis or treatment of health conditions. Results A total of 18 such apps were identified and included in this survey, representing 1.1% (8/699) to 3% (2/76) of all apps offered by the respective libraries examined. About one-third (7/18, 39%) of the identified apps offered cross-platform Apple and Android versions, with a further 50% (9/18) only dedicated to Apple and 11% (2/18) to Android. About one-fourth (4/18, 22%) of the identified apps offered dedicated diagnostic functions, with a majority featuring therapeutic (9/18, 50%) or combined functionality (5/18, 28%). Cameras, touch screens, and microphones were the most frequently used built-in sensors. Health concerns addressed by these apps included respiratory, dermatological, neurological, and anxiety conditions. Conclusions Diligent mHealth app library curation, medical device regulation constraints, and cross-platform differences in mobile phone sensor architectures may all contribute to the observed limited availability of mHealth apps using built-in phone sensors in curated mHealth app libraries. However, more efforts are needed to increase the number of such apps on curated lists, as they offer easily accessible low-cost options to assist people in managing clinical conditions.
机译:Apple和Google App商店提供了超过一百万的健康和健康的应用程序。一些应用程序使用内置移动电话传感器来生成健康数据。临床医生和患者可以在第三方策划的MHEALTAP APPIES中找到有关安全有效的移动健康(MHECHEATH)应用程序的信息。目标这些基于Web的基于网络的存储库指南应用程序选择从受信任的列表中选择,但它们是否提供了使用普遍存在的低成本智能手机传感器来提高健康的应用程序?本研究旨在识别所列出的策划健康应用程序库中列出的应用程序的内置手机传感器类型,以及应用程序地址的健康状况范围,以及应用程序的跨平台可用性。方法该系统调查审查了三个这样的存储库(国家健康服务应用程序库,AppScript和MyHealthApps),评估了使用内置手机传感器的应用程序,以便诊断或治疗健康状况。结果共有18项此类应用程序,并纳入本调查中,代表各项图书馆所提供的所有应用程序的1.1%(8/699)至3%(2/76)。大约三分之一(7/18,39%)所识别的应用程序提供跨平台Apple和Android版本,另一个只有50%(9/18)只致力于Apple和11%(2/18)到Android。大约四分之一(4/18,22%)所识别的应用程序提供专用的诊断功能,其中多数以治疗性(9/18,50%)或合并功能(5/18,28%)为特色。相机,触摸屏和麦克风是最常用的内置传感器。这些应用解决的健康问题包括呼吸道,皮肤病,神经系统和焦虑条件。结论移动电话传感器架构中的勤奋MHEALTH应用库策策,医疗设备调节约束和跨平台差异可能都在策划的MHEPTATH APP库中使用内置电话传感器观察到的MHEALTH应用程序的有限可用性。但是,需要更多的努力来增加策划列表上的此类应用程序的数量,因为它们提供轻松访问的低成本选项,以帮助人们管理临床条件。

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