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

Formative Evaluation of Digital Health Interventions (2410) Web-based and Mobile Health Interventions (3297) Behavior Change (712) Formative Studies and eHealth/mHealth Development (524) Methods and Feasibility Studies (379)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43557, first published .
A Digital Health Intervention for Concussion: Development and Clinical Feasibility Study

A Digital Health Intervention for Concussion: Development and Clinical Feasibility Study

A Digital Health Intervention for Concussion: Development and Clinical Feasibility Study

Authors of this article:

Christine d'Offay1, 2 Author Orcid Image ;   Xin Yi Ng3 Author Orcid Image ;   Laura Alexander4 Author Orcid Image ;   Alison Grant5 Author Orcid Image ;   Julia Grahamslaw5 Author Orcid Image ;   Claudia Pagliari1 Author Orcid Image ;   Matthew J Reed5, 6 Author Orcid Image ;   Alan Carson4 Author Orcid Image ;   David C Gillespie4 Author Orcid Image ;   Aimun A B Jamjoom2, 4, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

Journals

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  2. Ren S, McDonald C, Corwin D, Wiebe D, Master C, Arbogast K. Response Rate Patterns in Adolescents With Concussion Using Mobile Health and Remote Patient Monitoring: Observational Study. JMIR Pediatrics and Parenting 2024;7:e53186 View
  3. Maxin A, Lim D, Kush S, Carpenter J, Shaibani R, Gulek B, Harmon K, Mariakakis A, McGrath L, Levitt M. Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study. JMIR Neurotechnology 2024;3:e58398 View
  4. Turcott A, Kang R, Yao C, O'Melinn C, Mahoney T, Barlow S, Schmidt J. MyGuide: Observational Study of an Online Self-Management Tool for Concussion Rehabilitation (Preprint). JMIR Rehabilitation and Assistive Technologies 2024 View