Literature DB >> 24849001

High quantity but limited quality in healthcare applications intended for HIV-infected patients.

María de las Aguas Robustillo Cortés1, María Rosa Cantudo Cuenca, Ramón Morillo Verdugo, Elena Calvo Cidoncha.   

Abstract

OBJECTIVE: The aim of this study was to evaluate, through the creation of a specific questionnaire, the information quality in mobile applications (apps) aimed at human immunodeficiency virus (HIV)-infected patients. We also established a quality rating and identified the main strengths and weaknesses of this kind of health app.
MATERIALS AND METHODS: Smartphone apps specifically related to HIV/acquired immunodeficiency syndrome (AIDS) were searched. We conducted a key word search with the terms "HIV," "AIDS," and "acquired immune deficiency syndrome" in the Apple™ (Cupertino, CA) App Store and the Android™ Google™ (Mountain View, CA) Play Store. A questionnaire was developed based on the different quality recommendations for health apps up to December 2012. The recommendations consulted were as follows: the Happtique Health App Certification Program, the Food and Drug Administration (Mobile Medical Applications), and recommendations for the design, use, and evaluation of health apps of the Agency of Health Quality in Andalusia. A group of 17 experts assessed the importance of the different sections by using a Delphi method.
RESULTS: In total, 41 health apps were analyzed. Only one app (2.4%), called in Practice HIV, approached class A. The remaining were classed as follows: 2 (4.9%) class B, 1 (2.4%) class C, 5 (12.2%) class D and E, and 27 (65.9%) class F (not exceeding minimum criteria). The design and the relevance were highlighted among the strengths. The main areas for improvement are provision of services and confidentiality in addition to privacy policies.
CONCLUSIONS: The quality of the revised apps is limited. Only one app complied with the excellence criteria, and over 50% of the apps did not exceed minimum quality standards. The worst rated aspects were political advertising and logical security.

Entities:  

Keywords:  electronic health; home health monitoring; mobile health; pharmacy; technology

Mesh:

Year:  2014        PMID: 24849001     DOI: 10.1089/tmj.2013.0262

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  11 in total

Review 1.  A systematic review of recent smartphone, Internet and Web 2.0 interventions to address the HIV continuum of care.

Authors:  Kathryn E Muessig; Manali Nekkanti; Jose Bauermeister; Sheana Bull; Lisa B Hightow-Weidman
Journal:  Curr HIV/AIDS Rep       Date:  2015-03       Impact factor: 5.071

Review 2.  Recent Evidence for Emerging Digital Technologies to Support Global HIV Engagement in Care.

Authors:  Kate Jongbloed; Sunjit Parmar; Mia van der Kop; Patricia M Spittal; Richard T Lester
Journal:  Curr HIV/AIDS Rep       Date:  2015-12       Impact factor: 5.071

Review 3.  Electronic Tools to Bridge the Language Gap in Health Care for People Who Have Migrated: Systematic Review.

Authors:  Frédérique Thonon; Swati Perrot; Abhijna Vithal Yergolkar; Olivia Rousset-Torrente; James W Griffith; Olivier Chassany; Martin Duracinsky
Journal:  J Med Internet Res       Date:  2021-05-06       Impact factor: 5.428

Review 4.  Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers.

Authors:  Martin Hensher; Paul Cooper; Sithara Wanni Arachchige Dona; Mary Rose Angeles; Dieu Nguyen; Natalie Heynsbergh; Mary Lou Chatterton; Anna Peeters
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

Review 5.  Privacy Assessment in Mobile Health Apps: Scoping Review.

Authors:  Jaime Benjumea; Jorge Ropero; Octavio Rivera-Romero; Enrique Dorronzoro-Zubiete; Alejandro Carrasco
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-02       Impact factor: 4.773

6.  Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps.

Authors:  Jaime Benjumea; Jorge Ropero; Octavio Rivera-Romero; Enrique Dorronzoro-Zubiete; Alejandro Carrasco
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-28       Impact factor: 4.773

7.  Quality of Smartphone Apps Related to Panic Disorder.

Authors:  Mathias Van Singer; Anne Chatton; Yasser Khazaal
Journal:  Front Psychiatry       Date:  2015-07-14       Impact factor: 4.157

8.  The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment.

Authors:  Juliana Chen; Janet E Cade; Margaret Allman-Farinelli
Journal:  JMIR Mhealth Uhealth       Date:  2015-12-16       Impact factor: 4.773

9.  Health App Use Among US Mobile Phone Owners: A National Survey.

Authors:  Paul Krebs; Dustin T Duncan
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-04       Impact factor: 4.773

10.  The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change.

Authors:  Fiona H McKay; Sarah Slykerman; Matthew Dunn
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-25       Impact factor: 4.773

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