Evidence map›Paper›PMID 36548166›Full record

ArticleNursing reports (Pavia, Italy)2022

Developing a Virtual Reality Simulation Program for Improving Nursing Students' Clinical Reasoning Skills in Home Settings: A Protocol Paper.

Kyoko Yoshioka-Maeda, Chikako Honda, Yuka Sumikawa, Yuko Okamoto, Megumi Shimada, Hitoshi Fujii, Riho Iwasaki-Motegi, Takahiro Miura, Mai Otsuki

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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

9 authors.

Kyoko Yoshioka-MaedaDepartment of Community Health Nursing, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.
Chikako HondaDepartment of Community Health Nursing, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0001-8451-9990
Yuka SumikawaDepartment of Gerontological Home Care and Long-Term Care Nursing/Palliative Care Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0003-3852-251X
Yuko OkamotoDepartment of Nursing Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo 116-8551, Japan.
Megumi ShimadaDepartment of Nursing Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo 116-8551, Japan.
Hitoshi FujiiDepartment of Medical Statistics, School of Nursing, Mejiro University, Saitama 339-8501, Japan.
Riho Iwasaki-MotegiDepartment of Health Promotion, National Institute of Public Health, Saitama 351-0197, Japan.
Takahiro MiuraHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Chiba 277-0882, Japan.ORCID 0000-0002-7748-9567
Mai OtsukiHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Chiba 277-0882, Japan.ORCID 0000-0001-8303-465X

Funding

Japan Society for the Promotion of Science 21K19685
6 · The paper itself

Abstract

Most nursing simulation programs focus on persons' healthcare needs in hospital settings, and little is known about how to identify them in home settings. This study aims to develop and validate a virtual reality (VR) simulation program for nursing students to improve their clinical reasoning skills and confidence in assessing persons' healthcare needs in home settings. We developed a VR simulation program based on a literature review and expert discussion. In Phase 1, home visit nurses or public health nurses will validate the program through their interviews in 2022. In Phase 2, we will conduct a pilot and main single-blinded randomized trial for nursing students to confirm the effectiveness from 2022 and 2023. Participants will be randomly allocated into an intervention group using VR simulations and a control group receiving videos regarding three kinds of community residents' lives [1:1]. After obtaining informed consent, the students will submit their anonymous data to the researchers to prevent associating their grade evaluation. The primary outcome will be their clinical reasoning skills. The second outcome will include their satisfaction and self-confidence. This study will examine the effectiveness of improving their clinical reasoning skills and confidence in assessing persons' healthcare needs in home settings.

Indexed as

clinical judgmentcommunitynursing studentsrandomized controlled trialsimulationvirtual reality

Identifiers

PMID36548166
PMCPMC9786314

What OpenQuestion holds

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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.