在模拟中使用结构化反射之后,护士从业学生的诊断推理能力和准确性:混合方法实验
Patricia B Griffith1, Bette Mariani, Michelle M Kelly
1About the Authors Patricia B. Griffith, PhD, CRNP, ACNP-BC, is advanced senior lecturer, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania. Bette Mariani, PhD, RN, ANEF, FAAN, is vice dean of academic affairs and a professor, Villanova University M. Louise Fitzpatrick College of Nursing, Villanova, Pennsylvania. Michelle M. Kelly, PhD, CRNP, CNE, FAANP, is associate professor, Villanova University M. Louise Fitzpatrick College of Nursing. Dr. Mariani, Research Briefs editor for Nursing Education Perspectives , had no role in the review or selection of this article. This work was supported by the National League for Nursing Education Scholarship and the Pennsylvania Higher Education Nursing Schools Association Nursing Education Research funding. For more information, contact Dr. Griffith at pgriffit@nursing.upenn.edu .
结构化反思并没有显著改变护士执业学生的诊断推理能力. 然而,参与者发现该策略有利于提高诊断准确性和验证.
科学领域:
- 医学教育 医学教育
- 诊断推理 诊断推理
- 认知偏见是一种认知偏见.
背景情况:
- 诊断错误源于推理上的缺陷.
- 结构化反射提高了医学学习者的诊断准确性.
- 研究结构化反射对诊断过程的影响至关重要.
研究的目的:
- 评估结构化反思对诊断推理能力和准确性的影响.
- 探索认知偏见的经验和结构化反思的感知实用性.
- 了解结构化反射如何影响模拟患者场景中的诊断工作.
主要方法:
- 混合方法实验比较有和没有结构化反思的执业护士学生.
- 诊断推理能力和准确性的评估.
- 通过定性调查探索认知偏见和感知效用.
主要成果:
- 诊断推理评估能力分数没有显著变化.
- 通过结构化反射观察到改善诊断准确性的趋势.
- 诊断验证成为一个关键主题,促使两组的诊断发生了变化.
结论:
- 显式结构化反思用户认为该策略有助于推理.
- 控制参与者独立采用了结构化反思的组成部分,报告了类似的好处.
- 虽然定量结果没有变化,但定性数据表明,在诊断过程中感知到结构化反射的价值和实用性.
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