Evidence map›Paper›PMID 38178100›Full record

ArticleBMC medical education2024

Effect of virtual reality training to enhance laparoscopic assistance skills.

Xiuwen Chen, Peng Liao, Shiqing Liu, Jianxi Zhu, Abdullah Sultan Abdullah, Yao Xiao

Abstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

6 authors.

Xiuwen ChenTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, China.
Peng LiaoTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, China.
Shiqing LiuDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China. liushiqing@csu.edu.cn.
Jianxi ZhuHunan Key Laboratary of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Abdullah Sultan AbdullahDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, China.
Yao XiaoDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, China. yaoxiao@csu.edu.cn.

Funding

Natural Science Foundation of Hunan Province 2023JJ40968 and 2022JJ30939Project Program of National Clinical Research Center for Geriatric Disorders 2022LNJJ19Scientific Research Project of Hunan Provincial Health Commission 202204010011 and B202303027830Scientific Research Project of The Chinese Nursing Association ZHKYQ202107
6 · The paper itself

Abstract

backgroundWhile laparoscopic assistance is often entrusted to less experienced individuals, such as residents, medical students, and operating room nurses, it is important to note that they typically receive little to no formal laparoscopic training. This deficiency can lead to poor visibility during minimally invasive surgery, thus increasing the risk of errors. Moreover, operating room nurses and medical students are currently not included as key users in structured laparoscopic training programs.

objectivesThe aim of this study is to evaluate the laparoscopic skills of OR nurses, clinical medical postgraduate students, and residents before and after undergoing virtual reality training. Additionally, it aimed to compare the differences in the laparoscopic skills among different groups (OR nurses/Students/Residents) both before and after virtual reality training.

methodsOperating room nurses, clinical medical postgraduate students and residents from a tertiary Grade A hospital in China in March 2022 were selected as participants. All participants were required to complete a laparoscopic simulation training course in 6 consecutive weeks. One task from each of the four training modules was selected as an evaluation indicator. A before-and-after self-control study was used to compare the basic laparoscopic skills of participants, and laparoscopic skill competency was compared between the groups of operating room nurses, clinical medical postgraduate students, and residents.

resultsTwenty-seven operating room nurses, 31 clinical medical postgraduate students, and 16 residents were included. The training course scores for the navigation training module, task training module, coordination training module, and surgical skills training module between different groups (operating room nurses/clinical medical postgraduate/residents) before laparoscopic simulation training was statistically significant (p < 0.05). After laparoscopic simulation training, there was no statistically significant difference in the training course scores between the different groups. The surgical level scores before and after the training course were compared between the operating room nurses, clinical medical postgraduate students, and residents and showed significant increases (p < 0.05).

conclusionOur findings show a significant improvement in laparoscopic skills following virtual surgery simulation training across all participant groups. The integration of virtual surgery simulation technology in surgical training holds promise for bridging the gap in laparoscopic skill development among health care professionals.

Indexed as

Internship and ResidencyLaparoscopySimulation TrainingVirtual RealityClinical CompetenceComputer SimulationCurriculumHumansLaparoscopic operationOperating room nursesSimulation trainingVirtual reality

Identifiers

PMID38178100
PMCPMC10768454

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.