Literature DB >> 24014255

Development and evaluation of tools for measuring the quality of experience (QoE) in mHealth applications.

Borja Martínez-Pérez1, Isabel de la Torre-Díez, Sonia Candelas-Plasencia, Miguel López-Coronado.   

Abstract

The rapid spread of smartphones and tablets in the last years has created a new software industry whose fast growth has propitiated numerous low-quality applications to be revised and improved. The main aim of this paper is to develop a tool to assess the Quality of Experience (QoE) of mobile Health (mHealth) applications in order to improve the quality of the existing apps and the ones to be released. Firstly, a review of the applications of mHealth has been done in order to obtain a general classification. Secondly, the tool for measuring the QoE is developed in the form of a survey with the help of psychologists. Finally, this tool is evaluated using a sample of applications selected with the aid of the classification obtained. A survey with 21 questions using the Likert scale and destined to users has been successfully created, and its evaluation has been positive, resulting in a good method for measuring the QoE of the different features that the applications in the field of health care usually have. The tool created can be very useful for developers in order to assess the quality of their health care apps, indicating their positive aspects and the ones which must be revised and improved, avoiding the releasing of low-quality apps.

Mesh:

Year:  2013        PMID: 24014255     DOI: 10.1007/s10916-013-9976-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  4 in total

1.  Mobile health technology evaluation: the mHealth evidence workshop.

Authors:  Santosh Kumar; Wendy J Nilsen; Amy Abernethy; Audie Atienza; Kevin Patrick; Misha Pavel; William T Riley; Albert Shar; Bonnie Spring; Donna Spruijt-Metz; Donald Hedeker; Vasant Honavar; Richard Kravitz; R Craig Lefebvre; David C Mohr; Susan A Murphy; Charlene Quinn; Vladimir Shusterman; Dallas Swendeman
Journal:  Am J Prev Med       Date:  2013-08       Impact factor: 5.043

2.  The impact of comorbidity on Health-Related Quality of Life among cancer survivors: analyses of data from the PROFILES registry.

Authors:  P A J Vissers; M S Y Thong; F Pouwer; M M J Zanders; J W W Coebergh; L V van de Poll-Franse
Journal:  J Cancer Surviv       Date:  2013-08-06       Impact factor: 4.442

Review 3.  Mapping mHealth research: a decade of evolution.

Authors:  Maddalena Fiordelli; Nicola Diviani; Peter J Schulz
Journal:  J Med Internet Res       Date:  2013-05-21       Impact factor: 5.428

4.  Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences.

Authors:  Arun Rai; Liwei Chen; Jessica Pye; Aaron Baird
Journal:  J Med Internet Res       Date:  2013-08-02       Impact factor: 5.428

  4 in total
  24 in total

1.  Experiences and Results of Applying Tools for Assessing the Quality of a mHealth App Named Heartkeeper.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2015-09-07       Impact factor: 4.460

Review 2.  Mobile clinical decision support systems and applications: a literature and commercial review.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado; Beatriz Sainz-de-Abajo; Montserrat Robles; Juan Miguel García-Gómez
Journal:  J Med Syst       Date:  2014-01-08       Impact factor: 4.460

3.  The Med AppJam: a model for an interprofessional student-centered mHealth app competition.

Authors:  Julie Youm; Warren Wiechmann
Journal:  J Med Syst       Date:  2015-02-15       Impact factor: 4.460

Review 4.  Compliance of blood donation apps with mobile OS usability guidelines.

Authors:  Sofia Ouhbi; José Luis Fernández-Alemán; José Rivera Pozo; Manal El Bajta; Ambrosio Toval; Ali Idri
Journal:  J Med Syst       Date:  2015-04-07       Impact factor: 4.460

5.  Free blood donation mobile applications.

Authors:  Sofia Ouhbi; José Luis Fernández-Alemán; Ambrosio Toval; Ali Idri; José Rivera Pozo
Journal:  J Med Syst       Date:  2015-03-03       Impact factor: 4.460

6.  Criteria for assessing the quality of mHealth apps: a systematic review.

Authors:  Rasool Nouri; Sharareh R Niakan Kalhori; Marjan Ghazisaeedi; Guillaume Marchand; Mobin Yasini
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

Review 7.  Systematic Review about QoS and QoE in Telemedicine and eHealth Services and Applications.

Authors:  Isabel de la Torre Díez; Susel Góngora Alonso; Sofiane Hamrioui; Miguel López-Coronado; Eduardo Motta Cruz
Journal:  J Med Syst       Date:  2018-08-29       Impact factor: 4.460

8.  Economic impact assessment from the use of a mobile app for the self-management of heart diseases by patients with heart failure in a Spanish region.

Authors:  José Antonio Cano Martín; Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2014-07-04       Impact factor: 4.460

9.  A mobile decision support system for red eye diseases diagnosis: experience with medical students.

Authors:  Marta Manovel López; Miguel Maldonado López; Isabel de la Torre Díez; José Carlos Pastor Jimeno; Miguel López-Coronado
Journal:  J Med Syst       Date:  2016-05-03       Impact factor: 4.460

Review 10.  [painApp-mobile pain monitoring in the home care setting].

Authors:  A Ewers; I Gnass
Journal:  Schmerz       Date:  2018-10       Impact factor: 1.107

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