Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim

John W. Nelson; Patricia Thomas; Dawna Cato; Sebahat Gözüm; Kenneth Oja; Sally Dampier; Dawna Maria Perry; Karen Poole; Alba Barros; Lidia Guandalini; Ayla Kaya; Michal Itzhaki; Irit Gantz; Theresa Williamson; Dominika Vrbnjak

doi:10.1002/9781119747826.ch16

Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim

John W. Nelson
, Patricia Thomas
, Dawna Cato
, Sebahat Gözüm
, Kenneth Oja
, Sally Dampier
, Dawna Maria Perry
, Karen Poole
, Alba Barros
, Lidia Guandalini
, Ayla Kaya
, Michal Itzhaki
, Irit Gantz
, Theresa Williamson
, Dominika Vrbnjak

Department of Nursing sciences

Healthcare Environment
Wayne State University
Arizona Nurses Association
Akdeniz University
Denver Health
University of Colorado Denver
Confederation College
Thunder Bay Reg Hlth Sci Ctr
Lakehead University
Universidade Federal de São Paulo
Meir Hospital Sapir Medical Center
Golden Jubilee National Hospital
University of Maribor

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

9 Scopus citations

Abstract

This chapter builds on the research on nurses’ experience of work in the United Sates and Jamaica. The eight-country study reported on in this chapter, like the Jamaican study in Chapter 15, examined how clarity of role and system predicted nurse job satisfaction, but expanded the measurement model to also study the extent to which caring for self and the caring of the unit manager predicted nurse job satisfaction. Using structural equation modeling, the study revealed how these factors relate to one another and how they impact nurse turnover and sick time. This study confirmed the viability of the Profile of Caring as a construct appropriate for seven of the eight countries examined.

Original language	English
Title of host publication	Using Predictive Analytics to Improve Healthcare Outcomes
Publisher	Wiley
Pages	217-236
Number of pages	20
ISBN (Electronic)	9781119747826
DOIs	https://doi.org/10.1002/9781119747826.ch16
State	Published - 1 Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Care of self
Clarity of role
Clarity of self
Clarity of system
Experience of work
International study
Nurse job satisfaction
Quadruple aim
Sick time
Theoretical framework
Turnover

Access to Document

10.1002/9781119747826.ch16

Cite this

Nelson, J. W., Thomas, P., Cato, D., Gözüm, S., Oja, K., Dampier, S., Perry, D. M., Poole, K., Barros, A., Guandalini, L., Kaya, A., Itzhaki, M., Gantz, I., Williamson, T., & Vrbnjak, D. (2021). Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim. In Using Predictive Analytics to Improve Healthcare Outcomes (pp. 217-236). Wiley. https://doi.org/10.1002/9781119747826.ch16

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Nelson, JW, Thomas, P, Cato, D, Gözüm, S, Oja, K, Dampier, S, Perry, DM, Poole, K, Barros, A, Guandalini, L, Kaya, A, Itzhaki, M, Gantz, I, Williamson, T & Vrbnjak, D 2021, Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim. in Using Predictive Analytics to Improve Healthcare Outcomes. Wiley, pp. 217-236. https://doi.org/10.1002/9781119747826.ch16

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Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim

Abstract

UN SDGs

Keywords

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