Literature DB >> 31910687

Mobile health app usability and quality rating scales: a systematic review.

Peyman Azad-Khaneghah1, Noelannah Neubauer1, Antonio Miguel Cruz1, Lili Liu2.   

Abstract

PURPOSE: To review the rating scales used to evaluate usability and quality of mobile health applications, and to compare their purpose, content, and intended target users (i.e., patients, caregivers, or researchers).
MATERIAL AND METHODS: We conducted a systematic review of the literature in accordance with the PRISMA statement on Medline, CINAHL, PsycINFO, IEEE Explore databases, as well as a review of the grey literature to identify rating scales used to evaluate usability and quality of mobile health applications (m-health apps), between January 1, 2000 and July 31, 2018. Two researchers screened the titles and abstracts of articles that met inclusion criteria, and retrieved usability and quality rating scales from the articles.
RESULTS: We identified 24 usability scales and 25 quality rating scales in 87 peer-reviewed articles. We identified only one quality rating scale designed for non-expert users (i.e., patients or caregivers). None of the studies used a theoretical framework for app evaluation to support the scales. The validity of existing quality rating scales is yet to be investigated.
CONCLUSION: Existing usability and quality rating scales are targeted at professionals, not end users who are patients or caregivers. Rating scales that are usable by all end-users would make mobile health apps accessible and meaningful to consumers.Implications for rehabilitationThe number of mobile health applications on app stores that can be used for rehabilitation is increasing.Most healthcare providers lack the training to identify m-health apps with high quality to be used in rehabilitation.This study has reviewed the current rating scales that can help clinicians and care providers rate the quality of m-health apps and identify the ones that are most appropriate for their practice.

Entities:  

Keywords:  E-health; Mobile applications; mobile health; quality evaluation; rating scales; systematic review

Mesh:

Year:  2020        PMID: 31910687     DOI: 10.1080/17483107.2019.1701103

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  16 in total

1.  [Mobile technologies in healthcare: reflections on development, application, legal aspects, and ethicsTecnologías sanitarias móviles: reflexiones sobre desarrollo, aplicación, legislación y ética].

Authors:  Lívia Luize Marengo; Alan Martinez Kozyreff; Fabio da Silva Moraes; Laura Inês Gomes Maricato; Silvio Barberato-Filho
Journal:  Rev Panam Salud Publica       Date:  2022-05-24

2.  Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study.

Authors:  Nicolas Wagneur; Patrick Callier; Jean-David Zeitoun; Denise Silber; Remi Sabatier; Fabrice Denis
Journal:  J Med Internet Res       Date:  2022-07-05       Impact factor: 7.076

3.  Spanish adaptation and validation of the User Version of the Mobile Application Rating Scale (uMARS).

Authors:  Ruben Martin-Payo; Sergio Carrasco-Santos; Marcelino Cuesta; Stoyan Stoyan; Xana Gonzalez-Mendez; María Del Mar Fernandez-Alvarez
Journal:  J Am Med Inform Assoc       Date:  2021-11-25       Impact factor: 7.942

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.  Procedures of User-Centered Usability Assessment for Digital Solutions: Scoping Review of Reviews Reporting on Digital Solutions Relevant for Older Adults.

Authors:  Anabela G Silva; Hilma Caravau; Ana Martins; Ana Margarida Pisco Almeida; Telmo Silva; Óscar Ribeiro; Gonçalo Santinha; Nelson P Rocha
Journal:  JMIR Hum Factors       Date:  2021-01-13

6.  Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications.

Authors:  Adel Saeed Alzahrani; Valerie Gay; Ryan Alturki; Mohammad J AlGhamdi
Journal:  J Healthc Eng       Date:  2021-12-21       Impact factor: 2.682

7.  Prioritization of Quality Principles for Health Apps Using the Kano Model: Survey Study.

Authors:  Christin Malinka; Ute von Jan; Urs-Vito Albrecht
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-11       Impact factor: 4.773

8.  Mobile Health Apps That Act as Surgical Preparatory Guides: App Store Search and Quality Evaluation.

Authors:  Naga Sindhura Gadde; Kevin Yi-Lwern Yap
Journal:  JMIR Perioper Med       Date:  2021-11-30

9.  ACCU3RATE: A mobile health application rating scale based on user reviews.

Authors:  Milon Biswas; Marzia Hoque Tania; M Shamim Kaiser; Russell Kabir; Mufti Mahmud; Atika Ahmad Kemal
Journal:  PLoS One       Date:  2021-12-16       Impact factor: 3.240

10.  Parents' Experience With a Mobile Health Intervention to Influence Human Papillomavirus Vaccination Decision Making: Mixed Methods Study.

Authors:  Elisabeth Rb Becker; Ross Shegog; Lara S Savas; Erica L Frost; Sharon P Coan; C Mary Healy; Stanley W Spinner; Sally W Vernon
Journal:  JMIR Pediatr Parent       Date:  2022-02-21
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