Please use this identifier to cite or link to this item: https://doi.org/10.1186/1471-2458-14-646
Title: Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?
Authors: Direito, A 
Pfaeffli Dale, L
Shields, E
Dobson, R
Whittaker, R
Maddison, R
Keywords: behavior therapy
computer program
diet
evidence based practice
exercise
human
mobile application
mobile phone
New Zealand
procedures
reproducibility
standards
Behavior Therapy
Cell Phones
Diet
Evidence-Based Practice
Exercise
Humans
Mobile Applications
New Zealand
Reproducibility of Results
Software Design
Issue Date: 2014
Citation: Direito, A, Pfaeffli Dale, L, Shields, E, Dobson, R, Whittaker, R, Maddison, R (2014). Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?. BMC Public Health 14 (1) : 646. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2458-14-646
Rights: Attribution 4.0 International
Abstract: There has been a recent proliferation in the development of smartphone applications (apps) aimed at modifying various health behaviours. While interventions that incorporate behaviour change techniques (BCTs) have been associated with greater effectiveness, it is not clear to what extent smartphone apps incorporate such techniques. The purpose of this study was to investigate the presence of BCTs in physical activity and dietary apps and determine how reliably the taxonomy checklist can be used to identify BCTs in smartphone apps. Methods. The top-20 paid and top-20 free physical activity and/or dietary behaviour apps from the New Zealand Apple App Store Health & Fitness category were downloaded to an iPhone. Four independent raters user-tested and coded each app for the presence/absence of BCTs using the taxonomy of behaviour change techniques (26 BCTs in total). The number of BCTs included in the 40 apps was calculated. Krippendorff's alpha was used to evaluate interrater reliability for each of the 26 BCTs. Results: Apps included an average of 8.1 (range 2-18) techniques, the number being slightly higher for paid (M = 9.7, range 2-18) than free apps (M = 6.6, range 3-14). The most frequently included BCTs were "provide instruction" (83% of the apps), "set graded tasks" (70%), and "prompt self-monitoring" (60%). Techniques such as "teach to use prompts/cues", "agree on behavioural contract", "relapse prevention" and "time management" were not present in the apps reviewed. Interrater reliability coefficients ranged from 0.1 to 0.9 (Mean 0.6, SD = 0.2). Conclusions: Presence of BCTs varied by app type and price; however, BCTs associated with increased intervention effectiveness were in general more common in paid apps. The taxonomy checklist can be used by independent raters to reliably identify BCTs in physical activity and dietary behaviour smartphone apps. © 2014Direito et al.; licensee BioMed Central Ltd.
Source Title: BMC Public Health
URI: https://scholarbank.nus.edu.sg/handle/10635/181496
ISSN: 14712458
DOI: 10.1186/1471-2458-14-646
Rights: Attribution 4.0 International
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