ArticleJMIR mHealth and uHealth2017
Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study.Journal of medical Internet research · 2023Article
- Mining the Influencing Factors and Their Asymmetrical Effects of mHealth Sleep App User Satisfaction From Real-world User-Generated Reviews: Content Analysis and Topic Modeling.Journal of medical Internet research · 2023Article
- Oxford Food and Activity Behaviors 20-item questionnaire to assess personal weight management strategies: Development and testing.Obesity (Silver Spring, Md.) · 2022Article
- Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis.Journal of medical Internet research · 2021Article
- Quality Assessment of Health-apps using a Public Agency Quality and Safety Seal. The Appsaludable Case.Journal of medical systems · 2021Article
- User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling.Journal of medical Internet research · 2021Article
- What do users think about Virtual Reality relaxation applications? A mixed methods study of online user reviews using natural language processing.Internet interventions · 2021Article
- A Novel Educational Control Group Mobile App for Meditation Interventions: Single-Group Feasibility Trial.JMIR formative research · 2020Article
- Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis.Journal of medical Internet research · 2020Article
- Analysing self-regulatory behaviours in response to daily weighing: a think-aloud study with follow-up interviews.Psychology & health · 2020Article
- Article
- An Electronic Health Tool to Prepare for the First Orthopedic Consultation: Use and Usability Study.JMIR formative research · 2019Article
- Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People.JMIR mHealth and uHealth · 2019Article
- Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study.JMIR mental health · 2019Article
- Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews.JMIR mHealth and uHealth · 2019Article
- A Qualitative Evaluation of the eaTrackerNutrients · 2018Article
- Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application.Digital healthArticle
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6 authors.
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Abstract
backgroundSignificant weight loss takes several months to achieve, and behavioral support can enhance weight loss success. Weight loss apps could provide ongoing support and deliver innovative interventions, but to do so, developers must ensure user satisfaction.
objectiveThe aim of this study was to conduct a review of Google Play Store apps to explore what users like and dislike about weight loss and weight-tracking apps and to examine qualitative feedback through analysis of user reviews.
methodsThe Google Play Store was searched and screened for weight loss apps using the search terms weight loss and weight track*, resulting in 179 mobile apps. A content analysis was conducted based on the Oxford Food and Activity Behaviors taxonomy. Correlational analyses were used to assess the association between complexity of mobile health (mHealth) apps and popularity indicators. The sample was then screened for popular apps that primarily focus on weight-tracking. For the resulting subset of 15 weight-tracking apps, 569 user reviews were sampled from the Google Play Store. Framework and thematic analysis of user reviews was conducted to assess which features users valued and how design influenced users' responses.
resultsThe complexity (number of components) of weight loss apps was significantly positively correlated with the rating (r=.25; P=.001), number of reviews (r=.28; P<.001), and number of downloads (r=.48; P<.001) of the app. In contrast, in the qualitative analysis of weight-tracking apps, users expressed preference for simplicity and ease of use. In addition, we found that positive reinforcement through detailed feedback fostered users' motivation for further weight loss. Smooth functioning and reliable data storage emerged as critical prerequisites for long-term app usage.
conclusionsUsers of weight-tracking apps valued simplicity, whereas users of comprehensive weight loss apps appreciated availability of more features, indicating that complexity demands are specific to different target populations. The provision of feedback on progress can motivate users to continue their weight loss attempts. Users value seamless functioning and reliable data storage.
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