Evidence map›Paper›PMID 38435150›Full record

ArticleCureus2024

Development and Implementation of a Stress Monitoring Paradigm Using Virtual Reality Simulation During the COVID-19 Pandemic.

Andrei Torres, Binh Nguyen, Bill Kapralos, Sridhar Krishnan, Douglas M Campbell, Lindsay Beavers, Adam Dubrowski, Venkat Bhat

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Andrei TorresmaxSIMhealth Group, Ontario Tech University, Oshawa, CAN.
Binh NguyenElectrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, CAN.
Bill KapralosmaxSIMhealth Group, Ontario Tech University, Oshawa, CAN.
Sridhar KrishnanElectrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, CAN.
Douglas M CampbellAllan Waters Family Simulation Program, Unity Health Toronto, Toronto, CAN.
Lindsay BeaversAllan Waters Family Simulation Program, Unity Health Toronto, Toronto, CAN.
Adam DubrowskimaxSIMhealth Group, Ontario Tech University, Oshawa, CAN.
Venkat BhatPsychiatry and Interventional Psychiatry, St. Michael's Hospital, Toronto, CAN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare providers, particularly during the COVID-19 crisis, have been forced to make difficult decisions and have reported acting in ways that are contrary to their moral values, integrity, and professional commitments, given the constraints in their work environments. Those actions and decisions may lead to healthcare providers' moral suffering and distress. This work outlines the development of the Moral Distress Virtual Reality Simulator (Moral Distress VRS) to research stress and moral distress among healthcare workers during the COVID-19 pandemic. The Moral Distress VRS was developed based on the agile methodology framework, with three simultaneous development streams. It followed a two-week sprint cycle, ending with meetings with stakeholders and subject matter experts, whereby the project requirements, scope, and features were revised, and feedback was provided on the prototypes until reaching the final prototype that was deployed for in-person study sessions. The final prototype had two user interfaces (UIs), one for the participant and one for the researcher, with voice narration and customizable character models wearing medical personal protective equipment, and followed a tree-based dialogue scenario, outputting a video recording of the session. The virtual environment replicated an ICU nursing station and a fully equipped patient room. We present the development process that guided this project, how different teams worked together and in parallel, and detail the decisions and outcomes in creating each major component within a limited deadline. Finally, we list the most significant challenges and difficulties faced and recommendations on how to solve them.

Indexed as

covid19digital interventionhealthcare simulationmoral distressstress experiencesvirtual reality simulationvirtual reality (vr)

Identifiers

PMID38435150
PMCPMC10909386

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.