Abstract
Studies have shown that nurse-staffing patterns affect patient safety, but it is not known how staffing patterns affect time spent in direct and indirect care. This study explores the relationships between nurse staffing, registered nurse (RN) time spent in direct and indirect care, and the occurrence of adverse events on 5 inpatient units in an acute care hospital. Time spent in direct and indirect care was determined by examining patterns of electronically recorded data that captured, via locator badges, continuous intervals of time. Electronic data were captured using the Hill-Rom COMposer® nurse locator system.
Sigma Membership
Chi Alpha at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Quantitative Research
Keywords:
Staffing Patterns, Indirect Care, Direct Care, Patient Safety, Time Spent with Patients
Advisor
Linda Moody
Second Advisor
Jason Beckstead
Third Advisor
Cecile Lenacher
Fourth Advisor
Victoria Rich
Degree
PhD
Degree Grantor
University of South Florida
Degree Year
2002
Recommended Citation
Cheung, Robyn B., "The relationship between nurse staffing, nursing time, and adverse events in an acute care hospital" (2021). Dissertations. 109.
https://www.sigmarepository.org/dissertations/109
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
2021-11-09
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3052636; ProQuest document ID: 305513960. The author still retains copyright.