Evidence map›Paper›PMID 40235713›Full record

ArticleAdvances in medical education and practice2025

A Simulated Interprofessional Team Conference Using Cross-Training for Junior Healthcare Students in Interprofessional Education: a Qualitative Content Analysis.

Etsuko Tomisaki, Junji Haruta, Takashi Horiguchi, Tomoko Arahata, Rika Fukui, Shunsuke Uno, Takayuki Ando, Tetsuhiro Yoshino, Satoko Ishikawa, Sayo Suzuki and 2 more

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Etsuko TomisakiFaculty of Nursing & Medical Care, Keio University, Tokyo, Japan.ORCID 0000-0003-0886-9467
Junji HarutaMedical Education Center, Keio University School of Medicine, Tokyo, Japan.
Takashi HoriguchiFaculty of Nursing & Medical Care, Keio University, Tokyo, Japan.
Tomoko ArahataFaculty of Nursing & Medical Care, Keio University, Tokyo, Japan.
Rika FukuiFaculty of Nursing & Medical Care, Keio University, Kanagawa, Japan.
Shunsuke UnoDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-9223-6138
Takayuki AndoCenter for General Medicine Education, Keio University School of Medicine, Tokyo, Japan.
Tetsuhiro YoshinoCenter for Kampo Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0001-6172-1926
Satoko IshikawaKeio University Faculty of Pharmacy, Tokyo, Japan.
Sayo SuzukiKeio University Faculty of Pharmacy, Tokyo, Japan.
Katsunori YamauraKeio University Faculty of Pharmacy, Tokyo, Japan.
Toshiaki MonkawaMedical Education Center, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In 2021, we introduced a new simulation-based learning program focusing on a roleplay conference before patient discharge. This study aimed to evaluate the program's effectiveness and highlight the significance of cross-training in interprofessional education (IPE). Methods: In September 2023, the program included 346 students (98 medical, 110 nursing, and 138 pharmacy students). The students' reflective writing was analyzed using inductive content analysis to describe their learning and perspectives. The original items, subcategories, and main categories were extracted. The simulation involved the students role-playing various healthcare professionals during a discharge-planning conference for a stroke patient. This allowed them to experience the challenges and dynamics of interprofessional collaboration. Results: Student feedback emphasized the importance of understanding what constitutes a good healthcare team. A total of 203 items were grouped into eight main categories and 17 subcategories, including patient-centered care (related to the importance of patient-centered care, supporting patient decision-making, communicating with patients during conferences, and facilitating decision-making processes), contrasts in patient and interprofessional communication, conference communication (challenge of building consensus, the way to proceed conferences, importance of conference preparation, and process of information aggregation and realization of outcomes), mutual recognition and role contribution, building relationships (importance of daily interprofessional communication), understanding one's profession (reflection on one's own profession, understanding the roles of different professions, and communication within one's own professional context), recursion into learning (motivation for continuous learning and improvement), and understanding other professions (understanding the role and perspectives of other professions and recognizing professional differences). Specific feedback highlighted improved empathy and communication skills. Students recognized the value of each profession's contribution to patient care. Moreover, students reported a deeper appreciation of patient-centered approaches and the complexities of coordinating care across different healthcare roles. Conclusion: Simulated interprofessional team conferences using cross-training effectively taught junior students to understand the essence of a good healthcare team and the importance of a patient-centered approach. Cross-training significantly enhanced students' interprofessional competencies, communication skills, and empathy toward other professions. This case underscores the necessity of incorporating cross-training into IPE to prepare healthcare professionals for collaborative practice and improve patient outcomes. Future research should consider expanding the scope to include more diverse scenarios and longitudinal assessments to measure long-term impacts on professional practice.

Indexed as

cross-traininginterprofessional competency frameworksimulated interprofessional educationundergraduate education

Identifiers

PMID40235713
PMCPMC11998945

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LicenceCC BY-NC
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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.