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dc.contributor.author
Tinschert, Peter
dc.contributor.author
Jakob, Robert
dc.contributor.author
Barata, Filipe
dc.contributor.author
Kramer, Jan-Niklas
dc.contributor.author
Kowatsch, Tobias
dc.date.accessioned
2017-12-06T14:54:26Z
dc.date.available
2017-10-06T03:02:45Z
dc.date.available
2017-10-13T17:33:54Z
dc.date.available
2017-12-05T11:58:32Z
dc.date.available
2017-12-06T14:54:26Z
dc.date.issued
2017-08
dc.identifier.issn
2291-5222
dc.identifier.other
10.2196/mhealth.7177
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/191257
dc.identifier.doi
10.3929/ethz-b-000191257
dc.description.abstract
Background: Effective disease self-management lowers asthma’s burden of disease for both individual patients and health care systems. In principle, mobile health (mHealth) apps could enable effective asthma self-management interventions that improve a patient’s quality of life while simultaneously reducing the overall treatment costs for health care systems. However, prior reviews in this field have found that mHealth apps for asthma lack clinical evaluation and are often not based on medical guidelines. Yet, beyond the missing evidence for clinical efficacy, little is known about the potential apps might have for improving asthma self-management.Objective: The aim of this study was to assess the potential of publicly available and well-adopted mHealth apps for improving asthma self-management.Methods: The Apple App store and Google Play store were systematically searched for asthma apps. In total, 523 apps were identified, of which 38 apps matched the selection criteria to be included in the review. Four requirements of app potential were investigated: app functions, potential to change behavior (by means of a behavior change technique taxonomy), potential to promote app use (by means of a gamification components taxonomy), and app quality (by means of the Mobile Application Rating Scale [MARS]).Results: The most commonly implemented functions in the 38 reviewed asthma apps were tracking (30/38, 79%) and information (26/38, 68%) functions, followed by assessment (20/38, 53%) and notification (18/38, 47%) functions. On average, the reviewed apps applied 7.12 of 26 available behavior change techniques (standard deviation [SD]=4.46) and 4.89 of 31 available gamification components (SD=4.21). Average app quality was acceptable (mean=3.17/5, SD=0.58), whereas subjective app quality lied between poor and acceptable (mean=2.65/5, SD=0.87). Additionally, the sum scores of all review frameworks were significantly correlated (lowest correlation: r36=.33, P=.04 between number of functions and gamification components; highest correlation: r36=.80, P<.001 between number of behavior change techniques and gamification components), which suggests that an app’s potential tends to be consistent across review frameworks.Conclusions: Several apps were identified that performed consistently well across all applied review frameworks, thus indicating the potential mHealth apps offer for improving asthma self-management. However, many apps suffer from low quality. Therefore, app reviews should be considered as a decision support tool before deciding which app to integrate into a patient’s asthma self-management. Furthermore, several research-practice gaps were identified that app developers should consider addressing in future asthma apps.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
JMIR Publications
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
eHealth
en_US
dc.subject
smartphone
en_US
dc.subject
asthma
en_US
dc.subject
review
en_US
dc.subject
disease management
en_US
dc.subject
self care
en_US
dc.subject
mobile applications
en_US
dc.subject
mobile health
en_US
dc.subject
mHealth
en_US
dc.subject
behavior and behavior mechanisms
en_US
dc.title
The Potential of Mobile Apps for Improving Asthma Self-Management: A Review of Publicly Available and Well-Adopted Asthma Apps
en_US
dc.type
Review Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
JMIR mHealth and uHealth
ethz.journal.volume
5
en_US
ethz.journal.issue
8
en_US
ethz.pages.start
e113
en_US
ethz.size
13 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.publication.place
Toronto
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.date.deposited
2017-10-06T03:03:06Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-10-13T17:33:57Z
ethz.rosetta.lastUpdated
2021-02-14T21:12:55Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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