Evaluating the impact of physical activity apps and wearables: interdisciplinary review

McCallum, C., Rooksby, J. and Gray, C. M. (2018) Evaluating the impact of physical activity apps and wearables: interdisciplinary review. JMIR mHealth and uHealth, 6(3), e58. (doi: 10.2196/mhealth.9054) (PMID:29572200)

Abstract

Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines.

• Item Type: Articles
• Keywords: Mobile health, physical activity, smartphones, wearables, sensors, evaluation, research design, research efficiency, behaviour change technologies, scoping review
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Gray, Professor Cindy and MCCALLUM, CLAIRE and Rooksby, Dr John
• Authors: McCallum, C., Rooksby, J., and Gray, C. M.
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Social Scientists working in Health and Wellbeing; College of Science and Engineering > School of Computing Science; College of Social Sciences > School of Social and Political Sciences
• Journal Name: JMIR mHealth and uHealth
• Publisher: JMIR Publications
• ISSN: 2291-5222
• ISSN (Online): 2291-5222
• Published Online: 23 March 2018
• Copyright Holders: Copyright © 2018 Claire McCallum, John Rooksby, Cindy M Gray
• First Published: First published in JMIR mHealth and uHealth 6(3)::e58
• Publisher Policy: Reproduced under a Creative Commons License