Mobile personal health records for pregnancy monitoring functionalities: Analysis and potential

TitreMobile personal health records for pregnancy monitoring functionalities: Analysis and potential
Publication TypeJournal Article
Year of Publication2016
AuthorsBachiri, M, Idri, A, Fernandez-Aleman, JLuis, Toval, A
JournalCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume134
Pagination121-135
Date PublishedOCT
ISSN0169-2607
Abstract

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.

DOI10.1016/j.cmpb.2016.06.008
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