Institute of Distributed Systems, Ulm University, Ulm, Germany.
Institute of Databases and Information Systems, Ulm University, Ulm, Germany.
JMIR Mhealth Uhealth. 2020 Aug 18;8(8):e21767. doi: 10.2196/21767.
BACKGROUND: Modern smartphones contain sophisticated high-end hardware features, offering high computational capabilities at extremely manageable costs and have undoubtedly become an integral part in users' daily life. Additionally, smartphones offer a well-established ecosystem that is easily discoverable and accessible via the marketplaces of differing mobile platforms, thus encouraging the development of many smartphone apps. Such apps are not exclusively used for entertainment purposes but are also commonplace in health care and medical use. A variety of those health and medical apps exist within the context of tinnitus, a phantom sound perception in the absence of any physical external source. OBJECTIVE: In this paper, we shed light on existing smartphone apps addressing tinnitus by providing an up-to-date overview. METHODS: Based on PRISMA guidelines, we systematically searched and identified existing smartphone apps on the most prominent app markets, namely Google Play Store and Apple App Store. In addition, we applied the Mobile App Rating Scale (MARS) to evaluate and assess the apps in terms of their general quality and in-depth user experience. RESULTS: Our systematic search and screening of smartphone apps yielded a total of 34 apps (34 Android apps, 26 iOS apps). The mean MARS scores (out of 5) ranged between 2.65-4.60. The Tinnitus Peace smartphone app had the lowest score (mean 2.65, SD 0.20), and Sanvello-Stress and Anxiety Help had the highest MARS score (mean 4.60, SD 0.10). The interrater agreement was substantial (Fleiss κ=0.74), the internal consistency was excellent (Cronbach α=.95), and the interrater reliability was found to be both high and excellent-Guttman λ6=0.94 and intraclass correlation, ICC(2,k) 0.94 (95% CI 0.91-0.97), respectively. CONCLUSIONS: This work demonstrated that there exists a plethora of smartphone apps for tinnitus. All of the apps received MARS scores higher than 2, suggesting that they all have some technical functional value. However, nearly all identified apps were lacking in terms of scientific evidence, suggesting the need for stringent clinical validation of smartphone apps in future. To the best of our knowledge, this work is the first to systematically identify and evaluate smartphone apps within the context of tinnitus.
背景：现代智能手机配备了复杂的高端硬件功能，以可承受的成本提供了极高的计算能力，无疑已成为用户日常生活不可或缺的一部分。此外，智能手机提供了成熟的生态系统，通过不同移动平台的市场很容易被发现和访问，从而鼓励了许多智能手机应用的发展。这些健康和医疗应用不仅用于娱乐目的，而且在医疗保健中也很常见。在耳鸣的背景下存在各种健康和医疗应用，耳鸣是在没有任何物理外部声源的情况下感知到的幻听。
目的：本文通过提供最新的概述，阐明了现有的针对耳鸣的智能手机应用。
方法：根据 PRISMA 指南，我们在最著名的应用市场（即 Google Play 商店和 Apple App Store）上系统地搜索和确定了现有的智能手机应用。此外，我们还应用了移动应用评级量表（MARS）来评估和评估应用程序的一般质量和深入的用户体验。
结果：我们对智能手机应用程序的系统搜索和筛选共产生了 34 个应用程序（34 个 Android 应用程序，26 个 iOS 应用程序）。平均 MARS 分数（满分 5 分）在 2.65-4.60 之间。Tinnitus Peace 智能手机应用程序的得分最低（平均 2.65，SD 0.20），Sanvello-Stress and Anxiety Help 的 MARS 得分最高（平均 4.60，SD 0.10）。评分者间的一致性很高（Fleiss κ=0.74），内部一致性极好（Cronbach α=0.95），评分者间的可靠性也很高和极好-Guttman λ6=0.94 和组内相关 ICC（2，k）0.94（95%CI 0.91-0.97）。
结论：这项工作表明，存在大量针对耳鸣的智能手机应用程序。所有应用程序的 MARS 评分均高于 2，这表明它们都具有一定的技术功能价值。然而，几乎所有确定的应用程序在科学证据方面都存在不足，这表明未来需要对智能手机应用程序进行严格的临床验证。据我们所知，这是首次系统地识别和评估耳鸣背景下的智能手机应用程序。
JMIR Mhealth Uhealth. 2020-8-18
Sensors (Basel). 2020-3-19
JMIR Mhealth Uhealth. 2024-3-18
Brain Sci. 2020-11-17
JMIR Mhealth Uhealth. 2021-6-15
J Clin Med. 2024-11-27
Front Health Serv. 2024-5-1
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024-2
Healthcare (Basel). 2023-8-22
J Med Internet Res. 2023-2-9
NPJ Digit Med. 2020-5-21
JMIR Ment Health. 2020-1-24
Eur Arch Otorhinolaryngol. 2020-3
JMIR Mhealth Uhealth. 2019-8-5
JMIR Mhealth Uhealth. 2019-5-28
JMIR Mhealth Uhealth. 2019-1-23
Zotero 插件
