Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48913, first published .
Designing High-Fidelity Mobile Health for Depression in Indonesian Adolescents Using Design Science Research: Mixed Method Approaches

Designing High-Fidelity Mobile Health for Depression in Indonesian Adolescents Using Design Science Research: Mixed Method Approaches

Designing High-Fidelity Mobile Health for Depression in Indonesian Adolescents Using Design Science Research: Mixed Method Approaches

Authors of this article:

Mila Shania1 Author Orcid Image ;   Putu Wuri Handayani1 Author Orcid Image ;   Sali Asih1 Author Orcid Image

Journals

  1. Leaune E, Bislimi K, Lau-Taï P, Rouzé H, Chalancon B, Lestienne L, Grandgenevre P, Morgiève M, Laplace N, Vaiva G, Haesebaert J, Poulet E. Codeveloping an Online Resource for People Bereaved by Suicide: Mixed Methods User-Centered Study. JMIR Mental Health 2025;12:e56945 View
  2. Ekireghwo P, Blamah N, Ajayi B, Anyachebelu T, Salihu A. An Implementation of Machine Learning-Based Framework for Tertiary Institutions Data Harmonization using Large Language Model. European Journal of Applied Science, Engineering and Technology 2025;3(3):285 View
  3. Chau L, Lam R, Minas H, Hayashi K, Nguyen V, O'Neil J. Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review. JMIR Mental Health 2025;12:e68296 View
  4. Wanniarachchi V, Greenhalgh C, Warren J. Adolescents' and youths' perceived barriers and facilitators to engaging with digital mental health interventions for depression and anxiety: A scoping review. Internet Interventions 2025;42:100884 View

Books/Policy Documents

  1. Asadi A, Prabhakar A. Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3. View
  2. Mbunge E, Sibiya M, Batani J. Software Engineering: Emerging Trends and Practices in System Development. View