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

Viewpoints and Opinions on Mental Health (203) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3394) Wearables and MHealth Viewpoints (208) Theoretical Frameworks and Concepts (596) Theory and Frameworks in Mental Health (139) Participatory Design and Participatory Research (542) Mental Health Issues in Adolescence (804)

Published on in Vol 13 (2026)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91739, first published .
Diverse group of young adults looking at a smartphone in a studio setting

Coproduction Without Youth? Closing the Participation Gap in Digital Mental Health Research

Coproduction Without Youth? Closing the Participation Gap in Digital Mental Health Research

Authors of this article:

Charlotte Blease1, 2 Author Orcid Image ;   Maria Tibbs3 Author Orcid Image ;   Andreas Balaskas4 Author Orcid Image ;   Shaun Liverpool5 Author Orcid Image ;   Josefin Hagström1 Author Orcid Image ;   Amanda Fitzgerald6 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Sangha J, Partridge S, Raeside R. Recentring young people in AI for mental health support: breaking the evidence-design feedback loop. Frontiers in Public Health 2026;14 View
  2. Lo H, Yu M, Sze P, Wong R, Ku M, Cheng Y, Ng P, Yeung W, Chung K. From Needs Assessment to Pre-Trial Specification: Participatory Co-Design of a Generative AI Chatbot (CARES-MDD) for Persons Living with Depression in Hong Kong Psychiatric Care. Healthcare 2026;14(20):3547 View