Evidence map›Paper›PMID 36001370›Full record

ArticleJMIR research protocols2022

A Novel Theory-Based Virtual Reality Training to Improve Patient Safety Culture in the Department of Surgery of a Large Academic Medical Center: Protocol for a Mixed Methods Study.

Lukasz M Mazur, Amro Khasawneh, Christi Fenison, Shawna Buchanan, Ian M Kratzke, Karthik Adapa, Selena J An, Logan Butler, Ashlyn Zebrowski, Praneeth Chakravarthula and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. 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

11 authors at 2 institutions in 1 country.

Lukasz M MazurDivision of Healthcare Engineering, Department of Radiation Oncology, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0001-9793-7999
Amro KhasawnehIndustrial Engineering Department, School of Engineering, Mercer University, Macon, GA, United States.ORCID https://orcid.org/0000-0003-3539-2473
Christi FenisonAcademic Technology Services, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0001-8541-4162
Shawna BuchananAcademic Technology Services, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-1214-5640
Ian M KratzkeDepartment of Surgery, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0001-6849-4412
Karthik AdapaDivision of Healthcare Engineering, Department of Radiation Oncology, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-3970-588X
Selena J AnDepartment of Surgery, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-6131-9037
Logan ButlerDivision of Healthcare Engineering, Department of Radiation Oncology, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-6487-0414
Ashlyn ZebrowskiDivision of Healthcare Engineering, Department of Radiation Oncology, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0003-0505-1141
Praneeth ChakravarthulaDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-3092-7435
Jin H RaDepartment of Surgery, School of Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0003-0334-9016
University of North Carolina at Chapel Hill · USMercer University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreventable surgical errors of varying degrees of physical, emotional, and financial harm account for a significant number of adverse events. These errors are frequently tied to systemic problems within a health care system, including the absence of necessary policies/procedures, obstructive cultural hierarchy, and communication breakdown between staff. We developed an innovative, theory-based virtual reality (VR) training to promote understanding and sensemaking toward the holistic view of the culture of patient safety and high reliability.

objectiveWe aim to assess the effect of VR training on health care workers' (HCWs') understanding of contributing factors to patient safety events, sensemaking of patient safety culture, and high reliability organization principles in the laboratory environment. Further, we aim to assess the effect of VR training on patient safety culture, TeamSTEPPS behavior scores, and reporting of patient safety events in the surgery department of an academic medical center in the clinical environment.

methodsThis mixed methods study uses a pre-VR versus post-VR training study design involving attending faculty, residents, nurses, technicians of the department of surgery, and frontline HCWs in the operation rooms at an academic medical center. HCWs' understanding of contributing factors to patient safety events will be assessed using a scale based on the Human Factors Analysis and Classification System. We will use the data frame theory framework, supported by a semistructured interview guide to capture the sensemaking process of patient safety culture and principles of high reliability organizations. Changes in the culture of patient safety will be quantified using the Agency for Healthcare Research and Quality surveys on patient safety culture. TeamSTEPPS behavior scores based on observation will be measured using the Teamwork Evaluation of Non-Technical Skills tool. Patient safety events reported in the voluntary institutional reporting system will be compared before the training versus those after the training. We will compare the Agency for Healthcare Research and Quality patient safety culture scores and patient safety events reporting before the training versus those after the training by using descriptive statistics and a within-subject 2-tailed, 2-sample t test with the significance level set at .05.

resultsEthics approval was obtained in May 2021 from the institutional review board of the University of North Carolina at Chapel Hill (22-1150). The enrollment of participants for this study will start in fall 2022 and is expected to be completed by early spring 2023. The data analysis is expected to be completed by July 2023.

conclusionsOur findings will help assess the effectiveness of VR training in improving HCWs' understanding of contributing factors of patient safety events, sensemaking of patient safety culture, and principles and behaviors of high reliability organizations. These findings will contribute to developing VR training to improve patient safety culture in other specialties.

Indexed as

high reliability organizationspatient safety culturepatient safety eventssensemakingvirtual reality training

Identifiers

PMID36001370
PMCPMC9453584
OpenAlexW4285100584

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.