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

Early Results from COVID-19 Studies (338) JMIR Theme Issue: COVID-19 Special Issue (2498) Use and User Demographics of mHealth (365) Formative Evaluation of Digital Health Interventions (2837) Methods and Feasibility Studies (397) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1820) Users' and Patients' Needs for Mental Health Services (448)

Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38162, first published .
Digital Screening and Automated Resource Identification System to Address COVID-19–Related Behavioral Health Disparities: Feasibility Study

Digital Screening and Automated Resource Identification System to Address COVID-19–Related Behavioral Health Disparities: Feasibility Study

Digital Screening and Automated Resource Identification System to Address COVID-19–Related Behavioral Health Disparities: Feasibility Study

Authors of this article:

Colleen Stiles-Shields1 Author Orcid Image ;   Kathryn R Batts2 Author Orcid Image ;   Karen M Reyes1 Author Orcid Image ;   Joseph Archer1, 3 Author Orcid Image ;   Sharad Crosby1, 4 Author Orcid Image ;   Janel M Draxler1 Author Orcid Image ;   Nia Lennan1 Author Orcid Image ;   Philip Held1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  2. Howe M, Miller S, Tran S, Buscemi J, Bugno L, Greenley R. Examining the psychometric properties of the CEFIS-AYA using item response theory. Journal of Pediatric Psychology 2024;49(12):856 View
  3. Baka E, Tan Y, Wong B, Xing Z, Yap P. A scoping review of digital interventions for the promotion of mental health and prevention of mental health conditions for young people. Oxford Open Digital Health 2025;3 View