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Effectiveness of a high-fidelity simulation program based on flipped learning for nurses' emergency management of seizures: a mixed-methods design.

Published in:BMC Nursing Vol. 24; no. 1; pp. 1 - 15
Main Authors: Ju, Jae-Kyun, Choi, Okja, Ahn, Shinhye, Jeong, Hye Won
Format: clinical trial pictorial research tables/charts Journal Article
Published: BioMed Central 10/27/2025
Online Access:View this record in EBSCOhost
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      dt: 10/27/2025
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      pub: BioMed Central
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        atl: Effectiveness of a high-fidelity simulation program based on flipped learning for nurses' emergency management of seizures: a mixed-methods design.
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        au:
          Ju, Jae-Kyun
          Choi, Okja
          Ahn, Shinhye
          Jeong, Hye Won
        affil: https://ror.org/05kzjxq56 Department of Surgery, Chonnam National University Medical School, Gwangju, Republic of Korea
      sug:
        subj:
          Seizures Nursing
          Emergency Nursing Methods
          Simulations
          Program Evaluation
          Education, Nursing, Continuing
          Learning Methods
          Nurse Attitudes
          Outcomes of Education
          Human
          Male
          Female
          Adult
          Clinical Trials
          Multimethod Studies
          Quasi-Experimental Studies
          Pretest-Posttest Design
          Convenience Sample
          Tertiary Health Care
          Confidence
          Clinical Reasoning
          Clinical Competence
          Focus Groups
          Semi-Structured Interview
          Thematic Analysis
          Content Analysis
          Paired T-Tests
          Wilcoxon Signed Rank Test
          Statistical Significance
          Data Analysis Software
          Descriptive Statistics
          Scales
          Funding Source
          Adult: 19-44 years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        clinical trial
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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