Assessing the quality of mobile applications in chronic disease management: a scoping review
Autor: | Janessa Griffith, Andre Kushniruk, Payal Agarwal, James Shaw, Elizabeth M. Borycki, Natasha Kithulegoda, Holly O. Witteman, E. Springall, Lise Lamothe, R. Sacha Bhatia, Dara Gordon |
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Rok vydání: | 2020 |
Předmět: |
Knowledge management
020205 medical informatics Computer science media_common.quotation_subject Computer applications to medicine. Medical informatics R858-859.7 MEDLINE Medicine (miscellaneous) Health Informatics 02 engineering and technology Review Article 03 medical and health sciences 0302 clinical medicine Health Information Management Schema (psychology) 0202 electrical engineering electronic engineering information engineering Leverage (statistics) Quality (business) 030212 general & internal medicine media_common business.industry Behavior change Usability Digital health Health services Computer Science Applications Geriatrics business Inclusion (education) |
Zdroj: | NPJ Digital Medicine npj Digital Medicine, Vol 4, Iss 1, Pp 1-8 (2021) |
ISSN: | 2398-6352 |
Popis: | While there has been a rapid growth of digital health apps to support chronic diseases, clear standards on how to best evaluate the quality of these evolving tools are absent. This scoping review aims to synthesize the emerging field of mobile health app quality assessment by reviewing criteria used by previous studies to assess the quality of mobile apps for chronic disease management. A literature review was conducted in September 2017 for published studies that use a set of quality criteria to directly evaluate two or more patient-facing apps supporting promote chronic disease management. This resulted in 8182 citations which were reviewed by research team members, resulting in 65 articles for inclusion. An inductive coding schema to synthesize the quality criteria utilized by included articles was developed, with 40 unique quality criteria identified. Of the 43 (66%) articles that reported resources used to support criteria selection, 19 (29%) used clinical guidelines, and 10 (15%) used behavior change theory. The most commonly used criteria included the presence of user engagement or behavior change functions (97%, n = 63) and technical features of the app such as customizability (20%, n = 13, while Usability was assessed by 24 studies (36.9%). This study highlights the significant variation in quality criteria employed for the assessment of mobile health apps. Future methods for app evaluation will benefit from approaches that leverage the best evidence regarding the clinical impact and behavior change mechanisms while more directly reflecting patient needs when evaluating the quality of apps. |
Databáze: | OpenAIRE |
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