Evidence map›Paper›PMID 41629923›Full record

ArticleBMC medical education2026

Evaluating the impact of a BOPPPS and scenario-based simulation intervention on the competency of junior circulating nurses: a quasi-experimental study.

Li Mu, Cheng Wang

Abstract read
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Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

2 authors.

Li Mu *Operating Room, Peking University First Hospital, No. 7 Xishiku Street, Xicheng District, Beijing, 100034, China. mulipku@126.com.
Cheng Wang *Operating Room, Peking University First Hospital, No. 7 Xishiku Street, Xicheng District, Beijing, 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile enhancing perioperative nursing competency is crucial for improving surgical quality and patient safety, conventional apprenticeship-based training models often fall short in addressing the systematic clinical training needs of junior circulating nurses. This study aims to bridge this gap by innovatively integrating scenario-based simulation with the structured BOPPPS teaching model to enhance training efficacy and clinical performance.

objectiveThe aim of this study was to evaluate the effectiveness of integrating the BOPPPS (bridge-in, objective, pre-assessment, participatory learning, post-assessment, summary) teaching model with scenario-based simulation in the training of junior nurses in operating room circulation roles.

methodsThis study employed a quasi-experimental design utilizing a pre-post self-controlled approach.From September to October 2023, 20 junior circulating nurses from a single hospital were randomly assigned to five groups. A structured teaching framework based on the BOPPPS model was implemented, with scenario-based simulation incorporated into the participatory learning component to support training in circulation responsibilities. Each group was randomly assigned one clinical case for simulation. Pre- and post-training assessments were conducted to evaluate the quality of circulation work, work execution rate, incidence of adverse events, and training satisfaction.

resultsFollowing the training, the quality of circulating work significantly increased from 71.6 ± 6.37 points to 85.05 ± 3.63 points (t = 30.19, p < .05), and the work completion rate improved from 69.95% to 82.55% (t = 30.20, p < .05). Additionally, the incidence of adverse events decreased markedly, and the overall satisfaction of nurses with the training program reached 96.11%.

conclusionThis study integrated the BOPPPS teaching model with scenario simulation training, resulting in a significant improvement of 13.45 points (p < .05) in the quality of circulating work among junior operating room nurses, along with a 12.6% increase in task completion rate. It is recommended to further optimize the training process by refining the interpretation of learning objectives, dynamically adjusting the difficulty of simulation cases, incorporating self-assessment of job competency, and tracking medium- to long-term outcomes. Additionally, the ADDIE model could be applied to support continuous improvement of the training system.

Indexed as

Clinical CompetenceNursing Staff, HospitalPerioperative NursingSimulation TrainingAdultFemaleHumansMaleModels, EducationalModels, EducationalOperating Room NursingSimulation Training

Identifiers

PMID41629923
PMCPMC12955285

What OpenQuestion holds

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LicenceCC BY
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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.