Evidence map›Paper›PMID 29959535›Full record

ArticleJournal of medical systems2018

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

Mariam Bachiri, Ali Idri, José Luis Fernández-Alemán, Ambrosio Toval

Abstract read
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In one paragraph

Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Review
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  12. Sustainable Accessibility: A Mobile App for Helping People with Disabilities to Search Accessible Shops.International journal of environmental research and public health · 2019
    Article
  13. An Evolutionary Game-Theoretic Approach for Assessing Privacy Protection in mHealth Systems.International journal of environmental research and public health · 2018
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mariam BachiriSoftware Project Management research team, ENSIAS, Mohammed V University in Rabat, Rabat, Morocco. mariam_bachiri@um5.ac.ma.ORCID http://orcid.org/0000-0002-0415-2285
Ali IdriSoftware Project Management research team, ENSIAS, Mohammed V University in Rabat, Rabat, Morocco.
José Luis Fernández-AlemánDepartment of Informatics and Systems, Faculty of Computer Science, University of Murcia, Murcia, Spain.
Ambrosio TovalDepartment of Informatics and Systems, Faculty of Computer Science, University of Murcia, Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A mobile personal health record (mPHR) for pregnancy monitoring allows the pregnant woman to track and manage her personal health data. However, owing to the privacy and security issues that may threaten the exchange of this sensitive data, a privacy policy should be established. The aim of this study is to evaluate the privacy policies of 19 mPHRs for pregnancy monitoring (12 for iOS and 7 for Android) using a template covering the characteristics of privacy, security, and standards and regulations. The findings of this study show that none of the privacy policies evaluated entirely comply with the characteristics studied. The developers of mPHRs for pregnancy monitoring are, therefore, requested to improve and pay more attention to the structure and the content of the privacy policies of their apps.

Indexed as

Computer SecurityHealth Records, PersonalPregnant PeoplePrivacyFemaleHumansMobile ApplicationsPregnancymhealthMobile personal health recordsPregnancy monitoringPrivacyPrivacy policySecurity

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.