Abstract
Error reporting is the primary way that hospitals identify errors and near misses, and it is essential for organizational learning and improvement to occur. However, it is widely recognized that errors in hospitals are significantly underreported. As a result, there are numerous lost opportunities for health care organizations to learn from errors and improve the care delivered to patients.
The purpose of this study was to use the model of work-team learning as the theoretical foundation to examine the error reporting behaviors of nurses. The study examined the team factors of safety climate, leader inclusiveness, and psychological safety and their effect on nurses' error reporting.
Sigma Membership
Gamma Iota
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Quantitative Research
Keywords:
Error Reporting, Leader Inclusiveness, Psychological Safety, Safety Climate
Advisor
Cheryl B. Jones
Second Advisor
George Knafl
Third Advisor
Mary R. Lynn
Fourth Advisor
Celeste Mayer
Degree
PhD
Degree Grantor
The University of North Carolina at Chapel Hill
Degree Year
2016
Recommended Citation
Munn, Lindsay Thompson, "Team dynamics and learning behavior in hospitals: A study of error reporting by nurses" (2022). Dissertations. 1853.
https://www.sigmarepository.org/dissertations/1853
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
2022-04-27
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 10119733; ProQuest document ID: 1805474871. The author still retains copyright.