Evidence map›Paper›PMID 40424618›Full record

ArticleJMIR research protocols2025

Training and Assessing Teamwork in Interprofessional Virtual Reality-Based Simulation Using the TeamSTEPPS Framework: Protocol for Randomized Pre-Post Intervention Study.

Marie Lehmann, Jan Mikulasch, Horst Poimann, Joy Backhaus, Sarah König, Tobias Mühling

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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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

6 authors.

Marie LehmannInstitute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.ORCID 0009-0002-1393-4139
Jan MikulaschDepartment of Internal Medicine I, Intensive Care Unit, University Hospital Würzburg, Würzburg, Germany.ORCID 0009-0006-6419-8417
Horst PoimannTeamSTEPPS Committee for German-Speaking Countries, Würzburg, Germany.ORCID 0009-0006-5694-9508
Joy BackhausInstitute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.ORCID 0009-0005-6166-8973
Sarah KönigInstitute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0003-4866-9881
Tobias MühlingInstitute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0001-5660-8005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterprofessional teamwork is essential for patient outcomes in emergency medicine; yet, effective training in this area is scarce. Virtual reality (VR) provides a promising, resource-efficient solution for simulating emergency scenarios and facilitating interprofessional collaboration. While VR-based training has shown benefits for medical skill and knowledge acquisition, assessing teamwork within such environments remains a challenge due to the lack of validated measurement tools. Existing teamwork assessment instruments, developed for physical simulations, may not fully apply to VR due to differences in communication modalities, interaction mechanics, and observer perspectives.

objectiveThis study aims to adapt and validate the TeamSTEPPS framework to assess teamwork in VR-based training. Subsequently, these adapted instruments will enable the investigation of whether interprofessional teamwork can be successfully trained in VR scenarios.

methodsPrior to the study, measurement instruments for subjective (Teamwork Perceptions Questionnaire) and objective teamwork quality (Team Performance Observation Tool, TPOT) will be adapted and validated for use in VR scenarios. Validation of the adapted version of the Team Performance Observation Tool includes expert consensus via a modified Delphi method as well as validity and reliability testing using recorded VR teamwork sessions. The study itself is designed as a prospective pre-post study with a planned enrollment of 65 nursing and 65 medical students working in randomly assigned interprofessional teams. On 3 timepoints (day 1, day 8, and day 15), participants engage in a VR scenario simulating 1 out of 3 different emergency medical conditions (esophageal variceal bleeding, exacerbated chronic obstructive pulmonary disease, and atrial fibrillation due to urinary tract infection). As an intervention, a structured training video on successful teamwork according to the TeamSTEPPS concept is shown on day 8 immediately before the second VR scenario. Teamwork is assessed objectively with the adapted version of the Team Performance Observation Tool and subjectively with the adapted Teamwork Perceptions Questionnaire. Medical performance will be recorded automatically by the VR software based on the medical measures conducted by the team.

resultsAs of May 2024, a total of 28 interprofessional teams have been enrolled. Data analysis will begin in late 2025.

conclusionsThis study addresses the challenge of adapting teamwork assessment tools to VR environments and may provide insights into the potential of VR-based training for improving interprofessional collaboration in medical education. Future research could include a control group to measure the effects of team training more rigorously or use more enhanced technologies (eg, natural language processing) to capture the full range of teamwork behavior. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/68705.

Indexed as

Emergency MedicineInterprofessional RelationsPatient Care TeamSimulation TrainingVirtual RealityCooperative BehaviorHumansReproducibility of ResultsSurveys and Questionnairesinterprofessional teamworkmedical educationTeam Performance Observation ToolTeamSTEPPSteam trainingTeamwork Perceptions Questionnairevirtual reality

Identifiers

PMID40424618
PMCPMC12152433

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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.