Published on in Vol 5, No 12 (2017): December

Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis

Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis

Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis

Journals

  1. Lieffers J, Valaitis R, George T, Wilson M, Macdonald J, Hanning R. A Qualitative Evaluation of the eaTracker® Mobile App. Nutrients 2018;10(10):1462 View
  2. Frie K, Hartmann-Boyce J, Pilbeam C, Jebb S, Aveyard P. Analysing self-regulatory behaviours in response to daily weighing: a think-aloud study with follow-up interviews. Psychology & Health 2020;35(1):16 View
  3. Park J, Li J, Howren A, Tsao N, De Vera M. Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews. JMIR mHealth and uHealth 2019;7(1):e11919 View
  4. Aji M, Gordon C, Peters D, Bartlett D, Calvo R, Naqshbandi K, Glozier N. Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study. JMIR Mental Health 2019;6(5):e13895 View
  5. Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P. Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis. Journal of Medical Internet Research 2020;22(3):e15790 View
  6. Frie K, Hartmann-Boyce J, Jebb S, Aveyard P. Testing the effectiveness of a weight loss intervention to enhance self-regulation in adults who are obese: protocol for a randomised controlled trial. BMJ Open 2019;9(12):e031572 View
  7. Claassen A, Vliet Vlieland T, Busch V, Schers H, van den Hoogen F, van den Ende C. An Electronic Health Tool to Prepare for the First Orthopedic Consultation: Use and Usability Study. JMIR Formative Research 2019;3(4):e13577 View
  8. Honary M, Bell B, Clinch S, Wild S, McNaney R. 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 2019;7(6):e14239 View
  9. Huberty J, Eckert R, Puzia M, Laird B, Larkey L, Mesa R. A Novel Educational Control Group Mobile App for Meditation Interventions: Single-Group Feasibility Trial. JMIR Formative Research 2020;4(7):e19364 View
  10. Tavares B, Pires I, Marques G, Garcia N, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343 View
  11. Fagernäs S, Hamilton W, Espinoza N, Miloff A, Carlbring P, Lindner P. What do users think about Virtual Reality relaxation applications? A mixed methods study of online user reviews using natural language processing. Internet Interventions 2021;24:100370 View
  12. Gessa A, Jiménez A, Sancha P. Open Innovation in Digital Healthcare: Users’ Discrimination between Certified and Non-Certified mHealth Applications. Journal of Open Innovation: Technology, Market, and Complexity 2020;6(4):130 View
  13. Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160 View
  14. Al-Abbadey M, Fong M, Wilde L, Ingham R, Ghio D. Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application. DIGITAL HEALTH 2021;7:205520762110149 View
  15. Gessa A, Sancha P, Jiménez A. Quality Assessment of Health-apps using a Public Agency Quality and Safety Seal. The Appsaludable Case. Journal of Medical Systems 2021;45(7) View