A Mobile-Assisted Peer Assessment Approach for Evidence-Based Nursing Education

Gwo Jen Hwang, Yi Jung Wu, Ching-Yi Chang

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Students who learn evidence-based nursing can assist the healthcare team to make proper medical decisions and provide patients with valuable advice, thus optimizing the quality of patient care in specific situations. In clinical work, nursing staff members participate in decision making by searching for relevant empirical nursing literature, a basic ability required to enter clinical practice. In traditional instruction, nursing students are taught the Problem, Intervention, Comparison, and Outcome method to learn to use library resources and gather empirical nursing knowledge for decision making. However, it is a challenge for most students to have sufficient practice to make decisions correctly and to have opportunities to perceive medical cases from diverse perspectives. Therefore, we propose a peer assessment-based Problem, Intervention, Comparison, and Outcome approach to help nursing students locate correct evidence and make appropriate decisions about patient care. We performed an experiment with our approach in a nursing university training program. The experimental results reveal that the subjects learning with the proposed approach show better evidence-based nursing knowledge, learning attitude, and critical thinking ability than those learning with the traditional approach. This study was supported in part by the Ministry of Science and Technology (Taiwan) under contract numbers MOST-106-2511-S-011-005-MY3, MOST-108-2511-H-011-005-MY3, and MOST 109-2635-H-227-001. The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article. Corresponding author: Ching-Yi Chang, PhD, RN, School of Nursing, College of Nursing, Taipei Medical University, 250 Wuxing Street, Taipei, 11031, Taiwan (frinng.cyc@tmu.edu.tw). Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
Original languageEnglish
JournalCIN - Computers Informatics Nursing
Publication statusE-pub ahead of print - May 2021

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