Abstract
In the United States nearly 1 million annual new and recurrent myocardial infarctions (MI) occur with 10% of patients hospitalized with MI having unrecognized ischemic symptoms. Inexperienced nurses are expected to accurately interpret cardiac symptom cues, possibly without ever having experienced care of patients with MI, yet have been shown to be less able to classify symptom cues and reach accurate conclusions than experienced nurses. The purpose of this study was to test an educational intervention using theories of pattern recognition to develop CT in MI and improve nursing students' clinical decision-making and clinical judgment using high fidelity patient simulation. This study used a quasi-experimental three group pre-/post-test design and qualitative data to triangulate information on critical thinking, clinical decision-making, and clinical judgment in MI.
Sigma Membership
Zeta Phi
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Quasi-Experimental Study, Other
Research Approach
Mixed/Multi Method Research
Keywords:
Cardiac Symptom Recognition, Nurse Education, Clinical Reasoning
Advisor
Cecelia Grindal
Degree
PhD
Degree Grantor
Georgia State University
Degree Year
2010
Recommended Citation
Walsh, Susan A., "The effects of pattern recognition based simulation scenarios on symptom recognition of myocardial infarction, critical thinking, clinical decision-making, and clinical judgment in nursing students" (2019). Dissertations. 1630.
https://www.sigmarepository.org/dissertations/1630
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2019-05-31
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3447664; ProQuest document ID: 858458087. The author still retains copyright.