Evidence map›Paper›PMID 38504918›Full record

ArticleFrontiers in medicine2024

Development and implementation of a high-fidelity simulation training course for medical and nursing collaboration based on the Fink integrated course design model.

Meng-Han Jiang, Li-Wen Dou, Bo Dong, Man Zhang, Yue-Ping Li, Cui-Xia Lin

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Meng-Han JiangSchool of Health, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Li-Wen DouSchool of Health, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Bo DongSchool of Political Science and Public Administration, Wuhan University, Wuhan, Hubei, China.
Man ZhangPeking University First Hospital, Beijing, China.
Yue-Ping LiSchool of Nursing, Shandong Modern University, Jinan, Shandong, China.
Cui-Xia LinSchool of Health, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The purpose of this study is to examine the design and implementation of a high-fidelity simulation training course for medical and nursing collaboration, based on the Fink integrated course design model. Additionally, the study aims to validate the teaching effectiveness of the course. Background: Previous empirical studies have highlighted the effectiveness of collaborative healthcare education in institutional teaching and hospital training. However, the development of healthcare collaborative education in China has been slow to develop in China. In recent years, Chinese nursing educators and researchers have shown interest in utilizing high-fidelity simulators for healthcare collaborative education. These simulators help address the limitations of traditional nursing teaching and healthcare separation simulation. Nevertheless, a standardized simulation interprofessional education curriculum is still lacking. Therefore, nursing educators need to develop a standardized high-fidelity simulation training curriculum for healthcare collaboration, guided by established science curriculum development theories. Methods: A high-fidelity simulation training course on healthcare collaboration was designed based on the Fink integrated curriculum design model. The course was taught to 14 nursing students and 8 clinical medicine students from March to July 2022. To comprehensively evaluate the effectiveness of the healthcare collaboration high-fidelity simulation training course, several assessment tools were used. These included course grades, satisfaction and self-confidence scales, simulation teaching practice scales, healthcare collaboration attitude scales, critical thinking skills scales, and semi-structured interviews. Results: After the course was implemented, students demonstrated high overall scores (79.19 ± 5.12) and reported high satisfaction ratings (4.44 ± 0.37). They also exhibited increased self-confidence (4.16 ± 0.33). Additionally, students evaluated all four dimensions of the course teaching practice scale positively. Furthermore, the study demonstrated significant improvements in various aspects, such as attitudes toward medical and nursing collaboration ( Conclusion: The study successfully designed a high-fidelity simulation training course for healthcare collaboration by utilizing the Fink integrated curriculum design model. The findings provide valuable insights for the development of standardized curricula and healthcare collaboration education in China. Moreover, the course adheres to best practice principles, fostering improved attitudes toward healthcare collaboration and enhancing students' healthcare collaboration and clinical thinking skills.

Indexed as

collaborative healthcare attitudescollaborative healthcare educationcritical thinkingcurriculum designFink integrated curriculum design modelhigh fidelity simulationmedical and nursing collaboration

Identifiers

PMID38504918
PMCPMC10948413

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.