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

Non-randomized Protocols and Methods (ehealth) (571) JMIR Theme Issue: COVID-19 Special Issue (2458) Anxiety and Stress Disorders (1074) Methods and Feasibility Studies (383) Virtual Reality Interventions in Mental Health (125)

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 Nguyen1 Author Orcid Image ;   Andrei Torres2 Author Orcid Image ;   Walter Sim3 Author Orcid Image ;   Deborah Kenny4 Author Orcid Image ;   Douglas M Campbell5, 6, 7, 8 Author Orcid Image ;   Lindsay Beavers6, 9 Author Orcid Image ;   Wendy Lou10 Author Orcid Image ;   Bill Kapralos2 Author Orcid Image ;   Elizabeth Peter11 Author Orcid Image ;   Adam Dubrowski2 Author Orcid Image ;   Sridhar Krishnan1 Author Orcid Image ;   Venkat Bhat3, 12 Author Orcid Image
Article Authors Cited by (9) Tweetations (7) 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
  3. Griffin B, Weber M, Hinkson K, Jendro A, Pyne J, Smith A, Usset T, Cucciare M, Norman S, Khan A, Purcell N, Maguen S. Toward a Dimensional Contextual Model of Moral Injury: A Scoping Review on Healthcare Workers. Current Treatment Options in Psychiatry 2023;10(3):199 View
  4. Espinola C, Nguyen B, Torres A, Sim W, Rueda A, Beavers L, Campbell D, Jung H, Lou W, Kapralos B, Peter E, Dubrowski A, Krishnan S, Bhat V. Digital Interventions for Stress Among Frontline Health Care Workers: Results From a Pilot Feasibility Cohort Trial. JMIR Serious Games 2024;12:e42813 View
  5. 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. Computer Methods and Programs in Biomedicine 2023;240:107645 View
  6. Torres A, Nguyen B, Kapralos B, Krishnan S, Campbell D, Beavers L, Dubrowski A, Bhat V. Development and Implementation of a Stress Monitoring Paradigm Using Virtual Reality Simulation During the COVID-19 Pandemic. Cureus 2024 View
  7. Martin J, Rueda A, Lee G, Tassone V, Park H, Ivanov M, Darnell B, Beavers L, Campbell D, Nguyen B, Torres A, Jung H, Lou W, Nazarov A, Ashbaugh A, Kapralos B, Litz B, Jetly R, Dubrowski A, Strudwick G, Krishnan S, Bhat V. Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study. JMIR Research Protocols 2024;13:e54180 View
  8. Duffecy J, Medrano G, Fokuo J, Xie W. Implementation of a Digital CBT Intervention for Medical Students. Procedia Computer Science 2024;248:22 View