The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change

BackgroundUsing mobile phone apps to promote behavior change is becoming increasingly common. However, there is no clear way to rate apps against their behavior change potential. ObjectiveThis study aimed to develop a reliable, theory-based scale that can be used to assess the behavior change potent...

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Main Authors: McKay, Fiona H (Author), Slykerman, Sarah (Author), Dunn, Matthew (Author)
Format: Book
Published: JMIR Publications, 2019-01-01T00:00:00Z.
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001 doaj_ba12e6f715144b51bb6b9f140b15507f
042 |a dc 
100 1 0 |a McKay, Fiona H  |e author 
700 1 0 |a Slykerman, Sarah  |e author 
700 1 0 |a Dunn, Matthew  |e author 
245 0 0 |a The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change 
260 |b JMIR Publications,   |c 2019-01-01T00:00:00Z. 
500 |a 2291-5222 
500 |a 10.2196/11130 
520 |a BackgroundUsing mobile phone apps to promote behavior change is becoming increasingly common. However, there is no clear way to rate apps against their behavior change potential. ObjectiveThis study aimed to develop a reliable, theory-based scale that can be used to assess the behavior change potential of smartphone apps. MethodsA systematic review of all studies purporting to investigate app's behavior change potential was conducted. All scales and measures from the identified studies were collected to create an item pool. From this item pool, 3 health promotion exerts created the App Behavior Change Scale (ABACUS). To test the scale, 70 physical activity apps were rated to provide information on reliability. ResultsThe systematic review returned 593 papers, the abstracts and titles of all were reviewed, with the full text of 77 papers reviewed; 50 papers met the inclusion criteria. From these 50 papers, 1333 questions were identified. Removing duplicates and unnecessary questions left 130 individual questions, which were then refined into the 21-item scale. The ABACUS demonstrates high percentage agreement among reviewers (over 80%), with 3 questions scoring a Krippendorff alpha that would indicate agreement and a further 7 came close with alphas >.5. The scale overall reported high interrater reliability (2-way mixed interclass coefficient=.92, 95% CI 0.81-0.97) and high internal consistency (Cronbach alpha=.93). ConclusionsThe ABACUS is a reliable tool that can be used to determine the behavior change potential of apps. This instrument fills a gap by allowing the evaluation of a large number of apps to be standardized across a range of health categories. 
546 |a EN 
690 |a Information technology 
690 |a T58.5-58.64 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n JMIR mHealth and uHealth, Vol 7, Iss 1, p e11130 (2019) 
787 0 |n http://mhealth.jmir.org/2019/1/e11130/ 
787 0 |n https://doaj.org/toc/2291-5222 
856 4 1 |u https://doaj.org/article/ba12e6f715144b51bb6b9f140b15507f  |z Connect to this object online.