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Showing content from https://pubmed.ncbi.nlm.nih.gov/29788283/ below:

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

Affiliations

• ¹ Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
• ² Research and Development Department, DMD Santé, Paris, France.

• PMID: 29788283
• PMCID: PMC7646896
• DOI: 10.1093/jamia/ocy050

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Rasool Nouri et al. J Am Med Inform Assoc. 2018.

• ¹ Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
• ² Research and Development Department, DMD Santé, Paris, France.

• PMID: 29788283
• PMCID: PMC7646896
• DOI: 10.1093/jamia/ocy050

Item in Clipboard

Objective: Review the existing studies including an assessment tool/method to assess the quality of mHealth apps; extract their criteria; and provide a classification of the collected criteria.

Methods: In accordance with the PRISMA statement, a literature search was conducted in MEDLINE, EMBase, ISI and Scopus for English language citations published from January 1, 2008 to December 22, 2016 for studies including tools or methods for quality assessment of mHealth apps. Two researchers screened the titles and abstracts of all retrieved citations against the inclusion and exclusion criteria. The full text of relevant papers was then individually examined by the same researchers. A senior researcher resolved eventual disagreements and confirmed the relevance of all included papers. The authors, date of publication, subject fields of target mHealth apps, development method, and assessment criteria were extracted from each paper. The extracted assessment criteria were then reviewed, compared, and classified by an expert panel of two medical informatics specialists and two health information management specialists.

Results: Twenty-three papers were included in the review. Thirty-eight main classes of assessment criteria were identified. These were reorganized by expert panel into 7 main classes (Design, Information/Content, Usability, Functionality, Ethical Issues, Security and Privacy, and User-perceived value) with 37 sub-classes of criteria.

Conclusions: There is a wide heterogeneity in assessment criteria for mHealth apps. It is necessary to define the exact meanings and degree of distinctness of each criterion. This will help to improve the existing tools and may lead to achieve a better comprehensive mHealth app assessment tool.

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The flowchart that schematizes the…

The flowchart that schematizes the approach to identify, screen and include the relevant…

The flowchart that schematizes the approach to identify, screen and include the relevant studies in this review.

Outline of developed classification of…

Outline of developed classification of mhealth apps evaluation criteria.

Outline of developed classification of mhealth apps evaluation criteria.

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1. 1. Barton AJ. The regulation of mobile health applications. BMC Med 2012; 101: 46.. - PMC - PubMed
2. 1. Morse SS, Murugiah MK, Soh YC, Wong TW, Ming LC.. Mobile health applications for pediatric care: review and comparison. Ther Innov Regul Sci 2018; 523: 383–91. - PubMed
3. 1. Årsand E, Frøisland DH, Skrøvseth SO et al. , . Mobile health applications to assist patients with diabetes: lessons learned and design implications. J Diabetes Sci Technol 2012; 65: 1197–206. - PMC - PubMed
4. 1. Tripp N, Hainey K, Liu A et al. , . An emerging model of maternity care: smartphone, midwife, doctor? Women Birth 2014; 271: 64–7. - PubMed
5. 1. Baldwin JL, Singh H, Sittig DF, Giardina TD.. Patient portals and health apps: pitfalls, promises, and what one might learn from the other. Healthc 2017; 5381–5. - PMC - PubMed

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