Abstract
In nursing education, it is common for students to collaborate and make decisions as a group in simulations. One of the vital nursing competencies is students' ability to make sound clinical judgments and decision-making in simulation. Teamwork among students in simulation significantly affects their critical thinking and clinical reasoning. However, how students collaborate and make decisions in simulation is a complex phenomenon and not well studied and understood. In addition, most existing decision-making frameworks, such as Tanner's Clinical Judgment Model and the National Council of State Boards of Nursing's Clinical Judgment Measurement Model, focus solely on individual decision-making. Alternatively, teamwork and collaboration frameworks, such as TeamSTEPPS®, emphasize interprofessional collaboration rather than intra-professional or peer-to-peer collaboration. Furthermore, peer collaboration and decision-making cannot be accurately measured without a theoretical framework. Because clinical decision-making in nursing practice is a complex process that involves peer collaboration, more research is needed to explore how nursing students collaborate and make decisions in simulation.
Sigma Membership
Gamma Tau at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Grounded Theory
Research Approach
Qualitative Research
Keywords:
Clinical Decision-Making, Nursing Education, Intraprofessional Collaboration, Simulation-Based Learning
Advisor
Deanna L. Reising
Second Advisor
Claire B. Draucker
Third Advisor
Roxie L. Barnes
Fourth Advisor
Kyungbin Kwon
Degree
PhD
Degree Grantor
Indiana University
Degree Year
2023
Recommended Citation
Ngo, Thye Peng, "Peer collaborative clinical decision-making in virtual reality nursing simualtion" (2024). Dissertations. 1175.
https://www.sigmarepository.org/dissertations/1175
Rights Holder
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Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2024-03-19
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 30420570; ProQuest document ID: 2817944442. The author still retains copyright.