ArticleJMIR mHealth and uHealth2018
Analysis of the Features Important for the Effectiveness of Physical Activity-Related Apps for Recreational Sports: Expert Panel Approach.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies.JMIR mHealth and uHealth · 2023Pooled it
- Designing a Gamified mHealth App for HIV Prevention and Comorbidities Among Malaysian Young Men Who Have Sex With Men: An Interdisciplinary Expert Panel Study.Journal of medical Internet research · 2026Article
- Evaluation of Smartphone Camera Positioning on Artificial Intelligence Pose Estimation Accuracy for Exercise Detection: Observational Study.JMIR mHealth and uHealth · 2026Observational
- Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study.Journal of medical Internet research · 2021Article
- A Novel mHealth Monitoring System during Cycling in Elite Athletes.International journal of environmental research and public health · 2021Article
- Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study.Journal of medical Internet research · 2021Article
- User Preferences Related to Multimedia Elements of a Mobile Application to Prevent Diabetes.Healthcare informatics research · 2020Article
- How Do Runners Experience Personalization of Their Training Scheme: The Inspirun E-Coach?Sensors (Basel, Switzerland) · 2020Article
- Understanding Different Types of Recreational Runners and How They Use Running-Related Technology.International journal of environmental research and public health · 2020Article
- Content and Feature Preferences for a Physical Activity App for Adults With Physical Disabilities: Focus Group Study.JMIR mHealth and uHealth · 2019Article
- How to Measure Sedentary Behavior at Work?Frontiers in public health · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA large number of people participate in individual or unorganized sports on a recreational level. Furthermore, many participants drop out because of injury or lowered motivation. Potentially, physical activity-related apps could motivate people during sport participation and help them to follow and maintain a healthy active lifestyle. It remains unclear what the quality of running, cycling, and walking apps is and how it can be assessed. Quality of these apps was defined as having a positive influence on participation in recreational sports. This information will show which features need to be assessed when rating physical activity-related app quality.
objectiveThe aim of this study was to identify expert perception on which features are important for the effectiveness of physical activity-related apps for participation in individual, recreational sports.
methodsData were gathered via an expert panel approach using the nominal group technique. Two expert panels were organized to identify and rank app features relevant for sport participation. Experts were researchers or professionals in the field of industrial design and information technology (technology expert panel) and in the field of behavior change, health, and human movement sciences who had affinity with physical activity-related apps (health science expert panel). Of the 24 experts who were approached, 11 (46%) agreed to participate. Each panel session consisted of three consultation rounds. The 10 most important features per expert were collected. We calculated the frequency of the top 10 features and the mean importance score per feature (0-100). The sessions were taped and transcribed verbatim; a thematic analysis was conducted on the qualitative data.
resultsIn the technology expert panel, applied feedback and feedforward (91.3) and fun (91.3) were found most important (scale 0-100). Together with flexibility and look and feel, these features were mentioned most often (all n=4 [number of experts]; importance scores=41.3 and 43.8, respectively). The experts in the health science expert panels a and b found instructional feedback (95.0), motivating or challenging (95.0), peer rating and use (92.0), motivating feedback (91.3), and monitoring or statistics (91.0) most important. Most often ranked features were monitoring or statistics, motivating feedback, works good technically, tailoring starting point, fun, usability anticipating or context awareness, and privacy (all n=3-4 [number of experts]; importance scores=16.7-95.0). The qualitative analysis resulted in four overarching themes: (1) combination behavior change, technical, and design features needed; (2) extended feedback and tailoring is advised; (3) theoretical or evidence base as standard; and (4) entry requirements related to app use.
conclusionsThe results show that a variety of features, including design, technical, and behavior change, are considered important for the effectiveness of physical activity-related apps by experts from different fields of expertise. These insights may assist in the development of an improved app rating scale.
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