Evidence map›Paper›PMID 38709554›Full record

ArticleJMIR research protocols2024

Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study.

Josh Martin, Alice Rueda, Gyu Hee Lee, Vanessa K Tassone, Haley Park, Martin Ivanov, Benjamin C Darnell, Lindsay Beavers, Douglas M Campbell, Binh Nguyen and 12 more

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05923398 nacompletednot on this map

Digital Interventions to Understand and Mitigate Stress Response: Process & Content Evaluation to Move From Feasibility (SRL-4) to Simulated Demonstration (SRL-6)

TypeinterventionalSponsorUnity Health TorontoRan2023 to 2023Enrolled100ConditionsDistress, Emotional, Stress Response Among Nursing Professionals During the COVID-19, Stress Reaction, AcuteArmsDigital Intervention Group
NCT06843187 phase2terminatednot on this map

Lemborexant for the Treatment of Residual Insomnia in Adequately Treated Major Depressive Disorder: A Pilot Randomized Controlled Trial

TypeinterventionalSponsorUnity Health TorontoRan2024 to 2026Enrolled30ConditionsMajor Depressive Disorder(MDD), Insomnia Comorbid to Psychiatric DisorderArmsLemborexant, Placebo
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Moral injury prevention and intervention.European journal of psychotraumatology · 2025
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Josh MartinInterventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0009-0005-5232-1513
Alice RuedaInterventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-9977-9653
Gyu Hee LeeInterventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0009-0007-6905-9528
Vanessa K TassoneInterventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-9208-8809
Haley ParkInterventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-7469-2498
Martin IvanovDepartment of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.ORCID 0009-0000-7050-1749
Benjamin C DarnellMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, United States.ORCID 0000-0002-3962-0544
Lindsay BeaversAllan Waters Family Simulation Program, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-8107-1227
Douglas M CampbellAllan Waters Family Simulation Program, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0001-7046-0959
Binh NguyenDepartment of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.ORCID 0000-0002-4320-2978
Andrei TorresmaxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada.ORCID 0000-0003-2334-1919
Hyejung JungDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-6710-4221
Wendy LouDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-5590-8719
Anthony NazarovMacDonald Franklin OSI Research Centre, Lawson Health Research Institute, London, ON, Canada.ORCID 0000-0002-3288-7609
Andrea AshbaughSchool of Psychology, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-8590-0136
Bill KapralosmaxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada.ORCID 0000-0003-0434-3847
Brett LitzMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, United States.ORCID 0000-0002-0479-8887
Rakesh JetlyInstitute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-6610-9365
Adam DubrowskimaxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada.ORCID 0000-0002-2074-0933
Gillian StrudwickCentre For Addiction & Mental Health, Toronto, ON, Canada.ORCID 0000-0002-1080-7372
Sridhar KrishnanDepartment of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.ORCID 0000-0002-4659-564X
Venkat BhatInterventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-8768-1173

Funding

CIHR
6 · The paper itself

Abstract

backgroundStaffing and resource shortages, especially during the COVID-19 pandemic, have increased stress levels among health care workers. Many health care workers have reported feeling unable to maintain the quality of care expected within their profession, which, at times, may lead to moral distress and moral injury. Currently, interventions for moral distress and moral injury are limited.

objectiveThis study has the following aims: (1) to characterize and reduce stress and moral distress related to decision-making in morally complex situations using a virtual reality (VR) scenario and a didactic intervention; (2) to identify features contributing to mental health outcomes using wearable, physiological, and self-reported questionnaire data; and (3) to create a personal digital phenotype profile that characterizes stress and moral distress at the individual level.

methodsThis will be a single cohort, pre- and posttest study of 100 nursing professionals in Ontario, Canada. Participants will undergo a VR simulation that requires them to make morally complex decisions related to patient care, which will be administered before and after an educational video on techniques to mitigate distress. During the VR session, participants will complete questionnaires measuring their distress and moral distress, and physiological data (electrocardiogram, electrodermal activity, plethysmography, and respiration) will be collected to assess their stress response. In a subsequent 12-week follow-up period, participants will complete regular assessments measuring clinical outcomes, including distress, moral distress, anxiety, depression, and loneliness. A wearable device will also be used to collect continuous data for 2 weeks before, throughout, and for 12 weeks after the VR session. A pre-post comparison will be conducted to analyze the effects of the VR intervention, and machine learning will be used to create a personal digital phenotype profile for each participant using the physiological, wearable, and self-reported data. Finally, thematic analysis of post-VR debriefing sessions and exit interviews will examine reoccurring codes and overarching themes expressed across participants' experiences.

resultsThe study was funded in 2022 and received research ethics board approval in April 2023. The study is ongoing.

conclusionsIt is expected that the VR scenario will elicit stress and moral distress. Additionally, the didactic intervention is anticipated to improve understanding of and decrease feelings of stress and moral distress. Models of digital phenotypes developed and integrated with wearables could allow for the prediction of risk and the assessment of treatment responses in individuals experiencing moral distress in real-time and naturalistic contexts. This paradigm could also be used in other populations prone to moral distress and injury, such as military and public safety personnel.

trial registrationClinicalTrials.gov NCT05923398; https://clinicaltrials.gov/study/NCT05923398. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54180.

Indexed as

COVID-19AdultCohort StudiesFemaleHumansMaleOccupational StressOntarioStress, PsychologicalSurveys and QuestionnairesVirtual RealityCOVID-19digital health implementationdistressmoral distressnursingoura ringstressvirtual realityVRwearableweb-based platform

Identifiers

PMID38709554
PMCPMC11106701

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.