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Yale University

Implementing A Workload Tool To Increase Float Nurses' Job Satisfaction And Reduce Intent To Leave The Workplace

Abstract

dc:description.abstract

<p>Float nurses report frustration and dissatisfaction with their patient assignment distribution on a continual basis; citing that they often receive the highest workload and most acute patients. This experience is closely related to nurses’ job satisfaction with an established association between perception of unfair patient assignment and intent to leave the workplace. This project aims to utilize a workload score to create a balanced and transparent nursing assignment. With the imminent nursing shortage, float nurses have the ability increase overall satisfaction for in-patient hospital nurses and reduce nurse burnout throughout the in-patient areas. This project will address equitable patient care assignments with direct implications for nurse retention and cost savings. Findings provide strong support for the use of the workload tool as a means to systematically bolster job satisfaction in this sector of our already stressed nursing workforce and address the urgent problem of nursing retention. </p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Nursing Practice (DNP)
Level thesis:degree_level
Open Access Thesis
Discipline thesis:degree_discipline
Yale University School of Nursing
Year
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Czaplinski, Lisa
Contributors dc:contributor
  • Joan Kearney

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Repository record dc:identifier
https://elischolar.library.yale.edu/ysndt/1148
OAI identifier oai:identifier
oai:elischolar.library.yale.edu:ysndt-1147

Chain of custody

source
Harvested from
Yale University
Base URL
elischolar.library.yale.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Czaplinski, Lisa. Implementing A Workload Tool To Increase Float Nurses' Job Satisfaction And Reduce Intent To Leave The Workplace. Open Access Thesis thesis, 2023. https://elischolar.library.yale.edu/ysndt/1148