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

Non-randomized Protocols and Methods (ehealth) (671) Users' and Patients' Needs for Mental Health Services (502) Mental Health Issues in Adolescence (636) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Formative Evaluation of Digital Health Interventions (3229) User-Centered Design Case Studies (712) Qualitative Methods (131) Focus Groups and Qualitative Research for Human Factors Research (1218)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59372, first published .
A Digital Mental Health Solution to Improve Social, Emotional, and Learning Skills for Youth: Protocol for an Efficacy and Usability Study

A Digital Mental Health Solution to Improve Social, Emotional, and Learning Skills for Youth: Protocol for an Efficacy and Usability Study

A Digital Mental Health Solution to Improve Social, Emotional, and Learning Skills for Youth: Protocol for an Efficacy and Usability Study

Authors of this article:

Kayla V Taylor1, 2 Author Orcid Image ;   Laurent Garchitorena1, 2 Author Orcid Image ;   Carolina Scaramutti-Gladfelter1, 2 Author Orcid Image ;   Mykayla Wyrick1, 2 Author Orcid Image ;   Katherine B Grill3 Author Orcid Image ;   Azizi A Seixas1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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  2. Khoziasheva A. Development of push notification-based brief interventions for youth engaged in problematic mobile gaming. Social Sciences & Humanities Open 2025;12:101921 View
  3. Abueva N, Buzelo A, Wu Y, Turniyazova Z, Karakushev D, Obrenovic B. Digital Technologies and Student Mental Health: Risks of Social Media and the Promise of Virtual Reality and Autonomous Sensory Meridian Response Interventions. Psychology Research and Behavior Management 2025;Volume 18:2179 View
  4. Anafo A, Nelson L, Wilton L, Gmayinaam V, Ocloo S, Montague-Cardoso K. Predicting depression among men who have sex with men in Ghana using machine learning algorithms. PLOS Mental Health 2025;2(11):e0000485 View