Cited by 15Simulation-Based Education in HealthcareInnovations in Medical EducationSurgical Simulation and Training

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The efficacy of simulation-based learning versus non-simulation-based learning in endocrinology education: a systematic review and meta-analysis

Open access
Wu, Zeyu, Huang, Yiling, Lyu, Ling, Huang, Yu, Ping, Fan·2024·BMC Medical Education

Abstract

BACKGROUND: Simulation-Based Learning (SBL) is increasingly adopted in medical education across various specialties, employing realistic simulations to significantly enhance learning experiences. However, a comprehensive evaluation of its effectiveness specifically in endocrinology has not yet been conducted. The study aims to systematically review and meta-analyze the impact of SBL versus Non-Simulation-Based Learning (NSBL) on knowledge acquisition, skills, satisfaction, and interest in learning among endocrinology trainees. METHODS: This systematic review and meta-analysis adhered to the PRISMA guidelines, searching PubMed, Web of Science, Embase, Cochrane library, China National Knowledge Infrastructure (CNKI), Wanfang Data, Weipu, and Chinese Biomedical Database (CBM) until March 2024. We included randomized controlled trials comparing SBL to NSBL in endocrinology education. The quality evaluation relied on the Cochrane risk-of-bias assessment tool. The main results included evaluations from both theoretical and practical assessments. Additional measures consisted of assessing satisfaction and interest in learning. RESULTS: = 93%) compared to NSBL. Additionally, SBL was associated with higher satisfaction and greater interest in learning. No significant publication bias was detected, and sensitivity analysis confirmed the stability of these findings. CONCLUSIONS: SBL significantly enhances knowledge, skills, satisfaction, and interest in learning within endocrinology education compared to NSBL. These findings support the integration of high-quality SBL into endocrinology curricula to improve educational outcomes. Future research should explore the lasting effects of SBL on knowledge retention and clinical practice, as well as to evaluate its cost-effectiveness and compatibility with various educational tools in diverse settings.

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  • Current hospital management curricula overemphasize legacy theories and underrepresent emerging competencies such as DRG/DIP.

    “curricula overemphasize legacy theories and underrepresent emerging competencies such as Diagnosis-Related Groups (DRG) / Diagnosis-Intervention Packet (DIP) [2–4]”

    From Reforming hospital management education with the P-MASE pedagogy: a randomized controlled trial (2026) · cites this paper as [3]

    The Background (page not available) discusses limitations of conventional teaching in endocrinology, not hospital management curricula. Searches for DRG/DIP and for the claimed emphasis on legacy theories found no passage in our copy addressing those points. (LLM, conf=0.76)

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Metadata

Authors
Wu, Z., Huang, Y., Lyu, L., Huang, Y., & Ping, F.
Affiliations
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Venue
BMC Medical Education
Published
2024-09-30
Volume
24
Issue
1
Pages
1069-1069
ISSN
1472-6920 (ISSN-L)
OpenAlex
W4402965509
Cited by
15
References
2
Citations by year
2026: 10 · 2025: 4 · 2024: 1
FWCI
0.86
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Education (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Peking Union Medical College Hospital (National High Level Hospital Clinical Research Funding 2022-PUMCH-B-015)
Topics
  • Social Sciences › Education › Simulation-Based Education in Healthcare
  • Social Sciences › Education › Innovations in Medical Education
  • Health Sciences › Medicine › Surgery › Surgical Simulation and Training
Keywords
simulation-based training, endocrinology education, medical trainees, knowledge acquisition, clinical skills, student satisfaction, student learning interest
MeSH terms
Simulation Training, Clinical Competence, Education, Medical, Endocrinology, Humans

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