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Journal article

Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application

Abstract:
Objective. This study aimed to evaluate reviews that have been postedpublicly on the app ‘MapMyRun’ to investigate which features wereassociated with usage of the app. A secondary aim was to determinewhether MapMyRun consisted of specific behaviour change techniquesthat would have increased the likelihood of users being engaged with theapp.Methods. Reviews posted on MapMyRun by users between 1st May 2017-30th April 2018 were extracted, coded and analysed using contentanalysis.Results. Eleven behaviour change techniques were identified among thefeatures of MapMyRun. A total of 3,253 reviews met theinclusion/exclusion criteria, and 12 codes were developed. The codeswere grouped into 8 subthemes within 2 main themes: ‘Effort’ and ‘Selfmonitoring’. Consistent with previous literature, ‘Goal-Setting’ and ‘SelfMonitoring of Behaviour’ were two techniques included in MapMyRun.Social features of MapMyRun facilitated competition among users, theirfamily, and friends.Conclusions. This was the first qualitative review to assess a singlemobile health physical activity app and analyse it from the perspectivesof the users. Creators of future mobile health apps should focus on userfriendliness and the use of social features, as both may increase thechances of users’ continued use with the app
Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0002-6307-9196
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-1404-6304
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Role:
Author
ORCID:
0000-0001-7964-413X
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Role:
Author
ORCID:
0000-0002-0580-0205


Publisher:
SAGE Publications
Journal:
Digital Health More from this journal
Volume:
7
Pages:
20552076211014988-20552076211014988
Article number:
20552076211014988
Publication date:
2021-05-08
DOI:
EISSN:
2055-2076
ISSN:
2055-2076


Language:
English
Keywords:
Pubs id:
2452078
Local pid:
pubs:2452078
Source identifiers:
W3162531041
Deposit date:
2026-08-20
ARK identifier:
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