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

Non-randomized Protocols and Methods (ehealth) (477) JMIR Theme Issue: COVID-19 Special Issue (2241) Anxiety and Stress Disorders (881) Methods and Feasibility Studies (321) Virtual Reality Interventions in Mental Health (88)

Published on in Vol 11 , No 2 (2022) :February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32240, first published .
Digital Interventions to Reduce Distress Among Health Care Providers at the Frontline: Protocol for a Feasibility Trial

Digital Interventions to Reduce Distress Among Health Care Providers at the Frontline: Protocol for a Feasibility Trial

Digital Interventions to Reduce Distress Among Health Care Providers at the Frontline: Protocol for a Feasibility Trial

Authors of this article:

Binh Nguyen 1 Author Orcid Image ;   Andrei Torres 2 Author Orcid Image ;   Walter Sim 3 Author Orcid Image ;   Deborah Kenny 4 Author Orcid Image ;   Douglas M Campbell 5, 6, 7, 8 Author Orcid Image ;   Lindsay Beavers 6, 9 Author Orcid Image ;   Wendy Lou 10 Author Orcid Image ;   Bill Kapralos 2 Author Orcid Image ;   Elizabeth Peter 11 Author Orcid Image ;   Adam Dubrowski 2 Author Orcid Image ;   Sridhar Krishnan 1 Author Orcid Image ;   Venkat Bhat 3, 12 Author Orcid Image
Article Authors Cited by (2) Tweetations (8) Metrics

Journals

  1. Nguyen B, Torres A, Espinola C, Sim W, Kenny D, Campbell D, Lou W, Kapralos B, Beavers L, Peter E, Dubrowski A, Krishnan S, Bhat V. Development of a Data-Driven Digital Phenotype Profile of Distress Experience of Healthcare Workers During COVID-19 Pandemic. SSRN Electronic Journal 2022 View
  2. Zhu L, Spachos P, Ng P, Yu Y, Wang Y, Plataniotis K, Hatzinakos D. Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine Learning. IEEE Journal of Biomedical and Health Informatics 2023;27(5):2155 View