Abstract
Long-term care settings have frequently been targeted as environments prone to deficiencies in quality and resultant negative effects on resident safety. The use of minimum nurse staffing ratios has been proposed as a way to improve the quality of care for long-term care residents. However, the American Nursing Association has criticized the appropriateness of ratios for the determination of staffing needs. A more appropriate staffing methodology is one that is based on a measure of intensity that takes into consideration the aggregate population of patients and the associated roles and responsibilities of the nursing staff. The purpose of this study is threefold: (1) to determine the difference between the hours of care required by residents and reported staffing, (2) to examine whether differences can be explained by organizational characteristics, and (3) to determine if differences influence the quality of resident care.
Sigma Membership
Omicron at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Other
Keywords:
Staffing Ratios, Quality of Care, Nursing Homes
Advisor
Mary Ellen Johantgen
Degree
PhD
Degree Grantor
University of Maryland, Baltimore
Degree Year
2005
Recommended Citation
Gray-Siracusa, Kathy Diane, "Acuity-based staffing in long term care: Does it influence quality?" (2019). Dissertations. 1221.
https://www.sigmarepository.org/dissertations/1221
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
2019-08-12
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3165967; ProQuest document ID: 305375065. The author still retains copyright.