Abstract
Nurses have never before had so much data at the bedside, nor the complex patients and practice environments found in acute care settings today. Processing large amounts of information from multiple sources may result in cognitive overload which may negatively impact patient outcomes. To meet the challenge of improving quality of care, a conceptual model was created to guide research exploring the associations between the cognitive work of nursing, nursing care, and the complex context of the hospital setting. The purpose of this research was to explore the invisible cognitive work of nursing by examining relationships between cognitive load, nursing surveillance and clinical judgment, contextual complexities, and their potential impact on patient care outcomes. Research question 1 examined how simulated increases in intensity of care influenced nurses' cognitive load, clinical judgment, perceived stress, and errors. Research question 2 asked how nurses describe the cognitive work of nursing while engaging in a simulated patient care scenario. A novel multiple-case study design with multiple sources of evidence was used.
Sigma Membership
Pi Gamma
Lead Author Affiliation
Randolph-Macon College, Ashland, Virginia, USA
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Case Study/Series
Research Approach
Mixed/Multi Method Research
Keywords:
Acute Care, Invisible Work, New to Practice Nurses, Simulation
Advisor
Lanell Bellury
Second Advisor
Patricia Ebright
Third Advisor
Justus Randolph
Degree
PhD
Degree Grantor
Mercer University
Degree Year
2020
Recommended Citation
Vasel, Laura A., "Exploring the invisible work of nursing: A case study of simulated increases in intensity of care on nurses' cognitive load, clinical judgment, stress, and errors" (2024). Dissertations. 978.
https://www.sigmarepository.org/dissertations/978
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
2024-05-07
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 27737206; ProQuest document ID: 2432515882. The author still retains copyright.