探索客观模拟能力评估体验电子学习模块分析:改进护理教师反馈的混合方法研究。

IF 1.3 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Cin-Computers Informatics Nursing Pub Date : 2024-07-18 DOI:10.1097/CIN.0000000000001164
Suhasini Kotcherlakota, Elizabeth Mollard, Kevin Kupzyk, Jennifer Cera
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引用次数: 0

摘要

异常子宫出血是青春期女性常见的临床问题。本研究旨在通过加强模拟体验过程中对学生的反馈回路,提高在混合式客观模拟能力评估临床体验中接受指导的高级实习护生的临床推理能力。本研究采用顺序解释混合方法研究设计,对中西部一所大型大学妇女健康专业的两届一年级妇女健康执业护士研究生进行了研究。该研究从两批不同的学生中收集了两年的数据,并对 15 名参与者的数据进行了分析。利用决策路径设计的异常子宫出血模块是一项有价值的工作,教师们重视利用电子学习模块的数据分析来评估学生的学习情况。本研究介绍了护理专业教师如何以在线模块的形式创建异常子宫出血内容,以帮助诊断推理过程并向学生提供反馈。
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Exploring Objective Simulation Competency Assessment Experience E-Learning Module Analytics: A Mixed-Methods Study to Improve Nursing Faculty Feedback.

Abnormal uterine bleeding is a common clinical concern for adolescent women. This research study aims to improve the clinical reasoning skills of advanced practice nursing students instructed in blended Objective Simulation Competency Assessment clinical experiences by enhancing feedback loops given to students during simulated experiences. A sequential explanatory mixed-methods study design was conducted with two cohorts of first-year women's health nurse practitioner graduate nursing students enrolled in the Women's Health Program at a large Midwestern university. Data were collected across 2 years from two separate cohorts, and analyses included data from 15 participants. The Abnormal Uterine Bleeding module designed with decision pathways was a worthy effort, and faculty value using data analytics from the e-learning module to evaluate student learning. This study describes how nursing faculty created abnormal uterine bleeding content in an online module format that can aid the diagnostic reasoning process and enable feedback to students.

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来源期刊
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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