Literature DB >> 27480737

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

Mariam Bachiri1, Ali Idri2, José Luis Fernández-Alemán3, Ambrosio Toval3.   

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.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Functionality; Mobile health; Personal Health Record; Pregnancy monitoring

Mesh:

Year:  2016        PMID: 27480737     DOI: 10.1016/j.cmpb.2016.06.008

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  9 in total

1.  Evaluating the Privacy Policies of Mobile Personal Health Records for Pregnancy Monitoring.

Authors:  Mariam Bachiri; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval
Journal:  J Med Syst       Date:  2018-06-29       Impact factor: 4.460

2.  Sizing Prenatal mPHRs using COSMIC Measurement Method.

Authors:  Mariam Bachiri; Ali Idri; Alain Abran; Leanne M Redman; José Luis Fernández-Alemán
Journal:  J Med Syst       Date:  2019-09-14       Impact factor: 4.460

Review 3.  Mobile health applications for postnatal care: Review and analysis of functionalities and technical features.

Authors:  Lamyae Sardi; Ali Idri; Leanne M Redman; Hassan Alami; Rachid Bezad; José Luis Fernández-Alemán
Journal:  Comput Methods Programs Biomed       Date:  2019-10-16       Impact factor: 7.027

4.  Smartphone-Based Maternal Education for the Complementary Feeding of Undernourished Children Under 3 Years of Age in Food-Secure Communities: Randomised Controlled Trial in Urmia, Iran.

Authors:  Navisa Seyyedi; Bahlol Rahimi; Hamid Reza Farrokh Eslamlou; Hadi Lotfnezhad Afshar; Armin Spreco; Toomas Timpka
Journal:  Nutrients       Date:  2020-02-24       Impact factor: 5.717

Review 5.  Wearable Health Devices in Health Care: Narrative Systematic Review.

Authors:  Lin Lu; Jiayao Zhang; Yi Xie; Fei Gao; Song Xu; Xinghuo Wu; Zhewei Ye
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-09       Impact factor: 4.773

6.  Designing an IT Ecosystem for Pregnancy Care Management Based on Pervasive Technologies.

Authors:  Daniel Bjelica; Artur Bjelica; Marijana Despotović-Zrakić; Božidar Radenković; Dušan Barać; Marko Đogatović
Journal:  Healthcare (Basel)       Date:  2020-12-24

7.  Chinese Mobile Health APPs for Hypertension Management: A Systematic Evaluation of Usefulness.

Authors:  Jun Liang; Xiaojun He; Yuxi Jia; Wei Zhu; Jianbo Lei
Journal:  J Healthc Eng       Date:  2018-03-18       Impact factor: 2.682

Review 8.  Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation.

Authors:  Naoual El Aboudi; Laila Benhlima
Journal:  Adv Bioinformatics       Date:  2018-06-21

9.  Energy efficiency in software: A case study on sustainability in personal health records.

Authors:  José A García-Berná; José L Fernández-Alemán; Juan M Carrillo de Gea; Ambrosio Toval; Javier Mancebo; Coral Calero; Félix García
Journal:  J Clean Prod       Date:  2020-09-22       Impact factor: 9.297

  9 in total

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