This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2871) Mobile Health (mhealth) (2939)

Published on in Vol 6, No 9 (2018): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9912, first published .
Evaluating the Carrot Rewards App, a Population-Level Incentive-Based Intervention Promoting Step Counts Across Two Canadian Provinces: Quasi-Experimental Study

Evaluating the Carrot Rewards App, a Population-Level Incentive-Based Intervention Promoting Step Counts Across Two Canadian Provinces: Quasi-Experimental Study

Evaluating the Carrot Rewards App, a Population-Level Incentive-Based Intervention Promoting Step Counts Across Two Canadian Provinces: Quasi-Experimental Study

Authors of this article:

Marc Mitchell1 Author Orcid Image ;   Lauren White2 Author Orcid Image ;   Erica Lau3 Author Orcid Image ;   Tricia Leahey4 Author Orcid Image ;   Marc A Adams5 Author Orcid Image ;   Guy Faulkner6 Author Orcid Image
Article Authors Cited by (30) Tweetations (19) Metrics

Journals

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  3. Rondina II R, Pearson E, Prapavessis H, White L, Richard S, Mitchell M. Bright spots, physical activity investments that (almost) worked: Carrot Rewards app, driving engagement with pennies a day. British Journal of Sports Medicine 2020;54(15):927 View
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  5. Brower J, LaBarge M, White L, Mitchell M. Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(8):e16797 View
  6. Topothai T, Suphanchaimat R, Tangcharoensathien V, Putthasri W, Sukaew T, Asawutmangkul U, Topothai C, Piancharoen P, Piyathawornanan C. Daily Step Counts from the First Thailand National Steps Challenge in 2020: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2020;17(22):8433 View
  7. Pearson E, Prapavessis H, Higgins C, Petrella R, White L, Mitchell M. Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: a 24-week matched case control study. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  8. To Q, Duncan M, Van Itallie A, Vandelanotte C. Impact of COVID-19 on Physical Activity Among 10,000 Steps Members and Engagement With the Program in Australia: Prospective Study. Journal of Medical Internet Research 2021;23(1):e23946 View
  9. Robinson A, Slight R, Husband A, Slight S. Designing the Optimal Digital Health Intervention for Patients’ Use Before and After Elective Orthopedic Surgery: Qualitative Study. Journal of Medical Internet Research 2021;23(3):e25885 View
  10. Mitchell M, Orstad S, Biswas A, Oh P, Jay M, Pakosh M, Faulkner G. Financial incentives for physical activity in adults: systematic review and meta-analysis. British Journal of Sports Medicine 2020;54(21):1259 View
  11. Spaulding E, Marvel F, Piasecki R, Martin S, Allen J. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834 View
  12. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  13. Oliver H, Thomas O, Copeland R, Hesketh I, Jukes M, Chadd K, Rocca M. Proof of concept and feasibility of the app-based ‘#SWPMoveMore Challenge’: Impacts on physical activity and well-being in a police population. The Police Journal: Theory, Practice and Principles 2022;95(1):170 View
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  15. Mathur S, Janaudis‐Ferreira T, Hemphill J, Cafazzo J, Hart D, Holdsworth S, Lovas M, Wickerson L. User‐centered design features for digital health applications to support physical activity behaviors in solid organ transplant recipients: A qualitative study. Clinical Transplantation 2021;35(12) View
  16. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  17. Hollingshead S, Wohl M. Loyalty Program Rewards Increases Willingness to Use Responsible Gambling Tools and Attitudinal Loyalty. International Journal of Mental Health and Addiction 2024;22(1):781 View
  18. Devecchi A, Bo S, De Carli L, Breda E, Ponzo V, Pezzana A. Improve adherence to the Mediterranean diet through an innovative app: a pilot study. Nutrition & Food Science 2023;53(1):138 View
  19. Irwin P. Physical Activity Among Older Women Living in Rural Areas in Canada: A Scoping Review. Journal of Population Ageing 2022;15(3):755 View
  20. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  21. Willms A, Rhodes R, Liu S. Effects of Mobile-Based Financial Incentive Interventions for Adults at Risk of Developing Hypertension: Feasibility Randomized Controlled Trial. JMIR Formative Research 2023;7:e36562 View
  22. Schmidt R. A model for choice infrastructure: looking beyond choice architecture in Behavioral Public Policy. Behavioural Public Policy 2024;8(3):415 View
  23. Yao J, Lim N, Tan J, Matthias Müller A, Martinus van Dam R, Chen C, Tan C, Müller‐Riemenschneider F. Evaluation of a Population‐Wide Mobile Health Physical Activity Program in 696 907 Adults in Singapore. Journal of the American Heart Association 2022;11(12) View
  24. Stancu V, Frank D, Lähteenmäki L, Grunert K. Motivating consumers for health and fitness: The role of app features. Journal of Consumer Behaviour 2022;21(6):1506 View
  25. To Q, Green C, Vandelanotte C. Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study. JMIR mHealth and uHealth 2021;9(11):e28577 View
  26. Daniore P, Nittas V, Gille F, von Wyl V. Promoting participation in remote digital health studies: An expert interview study. DIGITAL HEALTH 2023;9 View
  27. Chijiki S, Tanabe K, Tsukao A, Kuno S. Does participation in municipality-initiated incentivized health promotion programs promote physical activity among the physically inactive? Verification in six Japanese municipalities. Journal of Public Health Research 2023;12(4) View
  28. Yfantidou S, Sermpezis P, Vakali A. 14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework. ACM Transactions on Computing for Healthcare 2023;4(3):1 View
  29. Alm J, Burgstaller L, Domi A, März A, Kasper M. Nudges, Boosts, and Sludge: Using New Behavioral Approaches to Improve Tax Compliance. Economies 2023;11(9):223 View
  30. Zheng S, Edney S, Goh C, Tai B, Mair J, Castro O, Salamanca-Sanabria A, Kowatsch T, van Dam R, Müller-Riemenschneider F. Effectiveness of holistic mobile health interventions on diet, and physical, and mental health outcomes: a systematic review and meta-analysis. eClinicalMedicine 2023;66:102309 View