Evidence map›Paper›PMID 38891184›Full record

ArticleHealthcare (Basel, Switzerland)2024

Virtual Reality Simulation-Based Clinical Procedure Skills Training for Nursing College Students: A Quasi-Experimental Study.

Hyeongyeong Yoon, Eunwha Lee, Chung-Jong Kim, Yoonhee Shin

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. 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. Review
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

4 authors.

Hyeongyeong YoonSeongnam Campus, College of Nursing, Eulji University, Seongnam-si 13135, Republic of Korea.
Eunwha LeeDepartment of Nursing, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.
Chung-Jong KimDepartment of Internal Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.
Yoonhee ShinEwha Medical Academy, Ewha Womans University Seoul Hospital, Seoul 07985, Republic of Korea.

Funding

This research was supported by a grant of the project for Infectious Disease Medical Safety, funded by the Ministry of Health & Welfare, Republic of Korea HI22C1234
6 · The paper itself

Abstract

Core nursing skills are emphasized in nursing education, given their vital role in nurses' competence; however, invasive nursing procedures like catheterization and enemas are infrequently performed in actual clinical practice, primarily being observed rather than executed. Virtual reality simulation training involves performing core nursing skills on virtual patients in a three-dimensional virtual reality environment, following the correct procedures. The purpose of this study is to examine the effects of VR simulation on nursing students' confidence, proficiency, task engagement, and satisfaction. The study participants included 76 second-year nursing students, with 37 in the VR group and 39 in the control group. The VR group engaged in immersive VR (IVR) training sessions including enemas, nasogastric feeding, and nelaton catheterization. Conversely, the control group practiced these skills using mannequins. Assessments evaluated confidence, proficiency, learning satisfaction, and task engagement before and after the intervention. The average age of the study participants was 21.07 years, with 78.95% being female and 21.05% being male. The study findings revealed no significant differences between the VR and control groups regarding confidence (F = 3.878,

Indexed as

clinical competenceconfidencenursing studentssatisfactionvirtual reality

Identifiers

PMID38891184
PMCPMC11171961

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.