Mobile personal health records for pregnancy monitoring functionalities: Analysis and potential
Mobile personal health records for pregnancy monitoring functionalities: Analysis and potential
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DOI：
10.1016/j.cmpb.2016.06.008
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发表时间：
2016-10-01
影响因子：
6.1
通讯作者：
Toval, Ambrosio
中科院分区：
文献类型：
--
作者：
Bachiri, Mariam;Idri, Ali;Toval, Ambrosio
背景和目标：个人健康记录 (PHR) 是健康信息技术快速发展的领域。 PHR用户能够管理自己的健康数据并与医生沟通，以提高医疗质量和效率。自从功能更强大的移动设备出现以来，用于移动设备的移动 PHR (mPHR) 应用程序已经获得了有趣的市场份额。这些设备允许用户访问以前仅适用于个人计算机的应用程序。本文分析了移动PHR针对妊娠监测的功能。方法：在分析过程中使用了著名的系统文献综述（SLR）协议。基于对有关怀孕和市场上现有应用的科学文献的严格研究，为此任务制定了一份调查问卷，其中包含 9 个数据项和 35 项质量评估。数据项包含日历、怀孕信息、健康习惯、计数器、日记、移动功能、安全、备份、配置和架构设计。结果：分别从 Apple App store 和 Google Play store 中选择了 33 个用于妊娠监测的 mPHR，适用于 iOS 和 Android。结果表明，所选的 mPHR 均未满足本文分析的 100% 功能。最高得分为 77%，最低得分为 17%。 结论：本文讨论了这些功能，并提出了类似应用程序未来开发的可能路径，这可能会导致更有效地利用智能手机功能。 (C) 2016 Elsevier Ireland Ltd. 保留所有权利。
Background and objective: Personal Health Records (PHRs) are a rapidly growing area of health information technology. PHR users are able to manage their own health data and communicate with doctors in order to improve healthcare quality and efficiency. Mobile PHR (mPHR) applications for mobile devices have obtained an interesting market quota since the appearance of more powerful mobile devices. These devices allow users to gain access to applications that used to be available only for personal computers. This paper analyzes the functionalities of mobile PHRs that are specific to pregnancy monitoring.Methods: A well-known Systematic Literature Review (SLR) protocol was used in the analysis process. A questionnaire was developed for this task, based on the rigorous study of scientific literature concerning pregnancy and applications available on the market, with 9 data items and 35 quality assessments. The data items contain calendars, pregnancy information, health habits, counters, diaries, mobile features, security, backup, configuration and architectural design.Results: A total of 33 mPHRs for pregnancy monitoring, available for iOS and Android, were selected from Apple App store and Google Play store, respectively. The results show that none of the mPHRs selected met 100% of the functionalities analyzed in this paper. The highest score achieved was 77%, while the lowest was 17%.Conclusions: In this paper, these features are discussed and possible paths for future development of similar applications are proposed, which may lead to a more efficient use of smartphone capabilities. (C) 2016 Elsevier Ireland Ltd. All rights reserved.