Evidence map›Paper›PMID 34904951›Full record

ArticleJMIR serious games2021

Design of a Virtual Reality Interactive Training System for Public Health Emergency Preparedness for Major Emerging Infectious Diseases: Theory and Framework.

Yue Luo, Mei Li, Jian Tang, JianLan Ren, Yu Zheng, XingLi Yu, LinRui Jiang, DingLin Fan, YanHua Chen

Open access · goldAbstract read
In one paragraph

Article in JMIR serious games, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  7. Review
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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

9 authors at 2 institutions in 1 country.

Yue Luo *School of Nursing, Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0002-1926-4503
Mei Li *School of Nursing, Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0002-3030-2603
Jian Tang *Operating Room, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0001-8360-4106
JianLan Ren *Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0002-2986-3825
Yu ZhengDepartment of Rheumatism and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0002-7393-0327
XingLi YuOperating Room, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0001-6787-5926
LinRui JiangDepartment of Cardiac Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0001-9749-5035
DingLin FanSchool of Nursing, Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0002-9822-607X
YanHua ChenDepartment of Nursing, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.ORCID https://orcid.org/0000-0001-9957-4124
Affiliated Hospital of Southwest Medical University · CNSouthwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSufficient public health emergency preparedness (PHEP) is the key factor in effectively responding to and recovering from major emerging infectious diseases (MEIDs). However, in the face of MEIDs, PHEP is insufficient, so it is necessary to improve PHEP. The rapid development of virtual reality and human-computer interaction provides unprecedented opportunities for innovative educational methods.

objectiveThis study designed a virtual reality interactive training system (VRITS) to provide an effective path for improving PHEP in the context of MEIDs so that the public can effectively respond to and recover from MEIDs.

methodsThis study used interactive narrative, situated learning and human-computer interaction theories as a theoretical framework to guide the design of the system. We used the literature research method and the Delphi method; consulted multidisciplinary experts, such as infectious diseases, disease control, psychology, and public health personnel, to determine the educational content framework; and set up an interdisciplinary team to construct an operating system framework for the VRITS.

resultsWe named the VRITS "People's War Against Pandemic." The educational content framework includes 20 knowledge, emotion, and behavior skills in 5 aspects (cooperating with prevention and control work, improving emergency response ability, guaranteeing supplies and equipment, preparing economic resources, and maintaining physical and mental health). The operating system framework includes virtual interactive training, knowledge corner, intelligent evaluation, and community forum modules, and the core module is the virtual interactive training module. In this module, users control virtual characters to move in various scenes, and then identify and analyze the controllability and harmfulness of the evolving pandemic and select the correct prevention and control strategy to avoid infecting themselves and others.

conclusionsThe development and sharing of the multidisciplinary theoretical framework adopted by People's War Against Pandemic can help us clarify the design ideas and assumptions of the VRITS; predict training results; understand the ability of training to change emergency knowledge, emergency emotion, and behavioral responses to MEIDs; and promote the development of more effective training systems based on virtual reality.

Indexed as

educationemergency preparednessemergency simulationepidemichuman-computer interaction theoryinteractive narrative theorymajor emerging infectious diseasesmedical educationpublic healthsituated learning theorytrainingvirtual realityVR

Identifiers

PMID34904951
PMCPMC8715362
OpenAlexW3200317168

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.