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

COVID-19 mobile app moral distress moral injury simulation virtual reality

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
16 Feb 2022
Historique:
received: 15 08 2021
accepted: 22 11 2021
revised: 20 11 2021
pubmed: 7 12 2021
medline: 7 12 2021
entrez: 6 12 2021
Statut: epublish

Résumé

Stress, anxiety, distress, and depression are high among health care workers during the COVID-19 pandemic, and they have reported acting in ways that are contrary to their moral values and professional commitments that degrade their integrity. This creates moral distress and injury due to constraints they have encountered, such as limited resources. The purpose of this study is to develop and show the feasibility of digital platforms (a virtual reality and a mobile platform) to understand the causes and ultimately reduce the moral distress of health care providers during the COVID-19 pandemic. This will be a prospective, single cohort, pre- and posttest study examining the effect of a brief informative video describing moral distress on perceptual, psychological, and physiological indicators of stress and decision-making during a scenario known to potentially elicit moral distress. To accomplish this, we have developed a virtual reality simulation that will be used before and after the digital intervention for monitoring short-term impacts. The simulation involves an intensive care unit setting during the COVID-19 pandemic, and participants will be placed in morally challenging situations. The participants will be engaged in an educational intervention at the individual, team, and organizational levels. During each test, data will be collected for (1) physiological measures of stress and after each test, data will be collected regarding (2) thoughts, feelings and behaviors during a morally challenging situation, and (3) perceptual estimates of psychological stress. In addition, participants will continue to be monitored for moral distress and other psychological stresses for 8 weeks through our Digital intervention/intelligence Group mobile platform. Finally, a comparison will be conducted using machine learning and biostatistical techniques to analyze the short- and long-term impacts of the virtual reality intervention. The study was funded in November 2020 and received research ethics board approval in March 2021. The study is ongoing. This project is a proof-of-concept integration to demonstrate viability over 6 months and guide future studies to develop these state-of-the-art technologies to help frontline health care workers work in complex moral contexts. In addition, the project will develop innovations that can be used for future pandemics and in other contexts prone to producing moral distress and injury. This project aims to demonstrate the feasibility of using digital platforms to understand the continuum of moral distress that can lead to moral injury. Demonstration of feasibility will lead to future studies to examine the efficacy of digital platforms to reduce moral distress. ClinicalTrials.gov NCT05001542; https://clinicaltrials.gov/ct2/show/NCT05001542. DERR1-10.2196/32240.

Sections du résumé

BACKGROUND BACKGROUND
Stress, anxiety, distress, and depression are high among health care workers during the COVID-19 pandemic, and they have reported acting in ways that are contrary to their moral values and professional commitments that degrade their integrity. This creates moral distress and injury due to constraints they have encountered, such as limited resources.
OBJECTIVE OBJECTIVE
The purpose of this study is to develop and show the feasibility of digital platforms (a virtual reality and a mobile platform) to understand the causes and ultimately reduce the moral distress of health care providers during the COVID-19 pandemic.
METHODS METHODS
This will be a prospective, single cohort, pre- and posttest study examining the effect of a brief informative video describing moral distress on perceptual, psychological, and physiological indicators of stress and decision-making during a scenario known to potentially elicit moral distress. To accomplish this, we have developed a virtual reality simulation that will be used before and after the digital intervention for monitoring short-term impacts. The simulation involves an intensive care unit setting during the COVID-19 pandemic, and participants will be placed in morally challenging situations. The participants will be engaged in an educational intervention at the individual, team, and organizational levels. During each test, data will be collected for (1) physiological measures of stress and after each test, data will be collected regarding (2) thoughts, feelings and behaviors during a morally challenging situation, and (3) perceptual estimates of psychological stress. In addition, participants will continue to be monitored for moral distress and other psychological stresses for 8 weeks through our Digital intervention/intelligence Group mobile platform. Finally, a comparison will be conducted using machine learning and biostatistical techniques to analyze the short- and long-term impacts of the virtual reality intervention.
RESULTS RESULTS
The study was funded in November 2020 and received research ethics board approval in March 2021. The study is ongoing.
CONCLUSIONS CONCLUSIONS
This project is a proof-of-concept integration to demonstrate viability over 6 months and guide future studies to develop these state-of-the-art technologies to help frontline health care workers work in complex moral contexts. In addition, the project will develop innovations that can be used for future pandemics and in other contexts prone to producing moral distress and injury. This project aims to demonstrate the feasibility of using digital platforms to understand the continuum of moral distress that can lead to moral injury. Demonstration of feasibility will lead to future studies to examine the efficacy of digital platforms to reduce moral distress.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT05001542; https://clinicaltrials.gov/ct2/show/NCT05001542.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/32240.

Identifiants

pubmed: 34871178
pii: v11i2e32240
doi: 10.2196/32240
pmc: PMC8852627
doi:

Banques de données

ClinicalTrials.gov
['NCT05001542']

Types de publication

Journal Article

Langues

eng

Pagination

e32240

Informations de copyright

©Binh Nguyen, Andrei Torres, Walter Sim, Deborah Kenny, Douglas M Campbell, Lindsay Beavers, Wendy Lou, Bill Kapralos, Elizabeth Peter, Adam Dubrowski, Sridhar Krishnan, Venkat Bhat. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 16.02.2022.

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Auteurs

Binh Nguyen (B)

Department of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.

Andrei Torres (A)

maxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada.

Walter Sim (W)

Interventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.

Deborah Kenny (D)

Department of Nursing, University of Colorado, Colorado Springs, CO, United States.

Douglas M Campbell (DM)

Neonatal Intensive Care Unit, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Allan Waters Family Simulation Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Lindsay Beavers (L)

Allan Waters Family Simulation Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Wendy Lou (W)

Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Bill Kapralos (B)

maxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada.

Elizabeth Peter (E)

Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.

Adam Dubrowski (A)

maxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada.

Sridhar Krishnan (S)

Department of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.

Venkat Bhat (V)

Interventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Department of Psychiatry, University of Toronto, Toronto, ON, Canada.

Classifications MeSH