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

Formative Evaluation of Digital Health Interventions (3229) Human Factors and Usability Case Studies (1005) Usability of Apps and User Perceptions of mHealth (1188) Design and Formative Evaluation of Mobile Apps (809) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Mobile Health (mhealth) (3464) mHealth for Wellness, Behavior Change and Prevention (3315)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43823, first published .
The Development of a Hypertension Prevention and Financial-Incentive mHealth Program Using a “No-Code” Mobile App Builder: Development and Usability Study

The Development of a Hypertension Prevention and Financial-Incentive mHealth Program Using a “No-Code” Mobile App Builder: Development and Usability Study

The Development of a Hypertension Prevention and Financial-Incentive mHealth Program Using a “No-Code” Mobile App Builder: Development and Usability Study

Authors of this article:

Amanda Willms1 Author Orcid Image ;   Ryan E Rhodes1 Author Orcid Image ;   Sam Liu1 Author Orcid Image
Article Authors Cited by (10) Tweetations (7) Metrics

Journals

  1. Willms A, Liu S. Exploring the Feasibility of Using ChatGPT to Create Just-in-Time Adaptive Physical Activity mHealth Intervention Content: Case Study. JMIR Medical Education 2024;10:e51426 View
  2. Brennan C, ODonoghue G, Keogh A, Rhodes R, Matthews J. Developing an Evidence- and Theory-Informed Mother-Daughter mHealth Intervention Prototype Targeting Physical Activity in Preteen Girls of Low Socioeconomic Position: Multiphase Co-Design Study. JMIR Pediatrics and Parenting 2025;8:e62795 View
  3. Tang Y, Gierc M, La H, Kim J, Liu S, Lam R, Puterman E, Faulkner G. MoodMover: Development and usability testing of an mHealth physical activity intervention for depression. DIGITAL HEALTH 2025;11 View
  4. Wang Y, Zhu T, Zhou T, Wu B, Tan W, Ma K, Yao Z, Wang J, Li S, Qin F, Xu Y, Tan L, Liu J, Wang J. Hyper-DREAM, a Multimodal Digital Transformation Hypertension Management Platform Integrating Large Language Model and Digital Phenotyping: Multicenter Development and Initial Validation Study. Journal of Medical Systems 2025;49(1) View
  5. Lin Y, Lee K, Ma W, Syu B, Liao W, Yang H, Lu S, Hong O. A mobile technology-based tailored health promotion program for sedentary employees: development and usability study. BMC Public Health 2025;25(1) View
  6. Cotie P, Willms A, Liu S. Implementation of Behavior Change Theories and Techniques for Physical Activity Just-in-Time Adaptive Interventions: A Scoping Review. International Journal of Environmental Research and Public Health 2025;22(7):1133 View
  7. Wong S, Ip M, Lee J, Lum T, Schwarzer R. Leveraging No-Code Digital Platforms for Designing an Integrated Smartphone-Based Ecological Momentary Intervention With Cognitive Behavioral Therapy for Mental Health Care: Development and Usability Study. JMIR Formative Research 2025;9:e77036 View
  8. Willms A, Sui A, Jantzen R, Chester S, Vanderloo L, Rhodes R, Liu S. Co‐designing a just‐in‐time adaptive mHealth intervention to improve parental support for child physical activity using a no‐code app design platform: Development study. Applied Psychology: Health and Well-Being 2025;17(6) View

Books/Policy Documents

  1. Alzahrani A, Gay V, Alturki R, Alanazi F. Artificial Intelligence and Machine Learning. View

Conference Proceedings

  1. S K, Senthilkumar A, Prabhune A, Durairaj M, Bhat S. 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). Application of Scrum framework and Low Code No Code platform for development and implementation of In-patient electronic visitor management system to optimise hospital operations View