Factors predicting excellent job satisfaction of Finnish nursing staff

2.50
Hdl Handle:
http://hdl.handle.net/10755/308542
Category:
Abstract
Type:
Presentation
Title:
Factors predicting excellent job satisfaction of Finnish nursing staff
Author(s):
Kvist, Tarja; Vehviläinen-Julkunen, Katri; Mäntynen, Raija
Lead Author STTI Affiliation:
Non-member
Author Details:
Tarja Kvist, PhD, RN, tarja.kvist@uef.fi; Katri Vehviläinen-Julkunen, PhD, RN, RM; Raija Mäntynen, PhD
Abstract:

Session presented on: Sunday, November 17, 2013

Background

Job satisfaction of staff is an essential outcome variable in research describing the work environment of healthy hospitals, and an important success factor and quality outcome of Magnet hospitals. Our earlier study (Kvist et al. 2012) indicated some excellence of job satisfaction of nursing staff.

Purpose

Purpose of this study is describe which background factors predict the excellent job satisfaction of nursing staff.

Methods

Data were collected from 1201 nursing staff members from three central hospitals using the web-based Kuopio University Job Satisfaction Scale survey instrument in autumn 2010. The data were analysed using SPSS 19.0 for Windows. Frequency and percentage distributions and mean values were used to describe the data. Logistic regression analysis was used to analyse the factors predicting excellent job satisfaction.

Results

Most respondents were women (88%). They were working as nurse leaders (9%), registered nurses (70%), physiotherapists (8%), practical nurses (11%) and others (2%). Job satisfaction ranged from 1 (poor) to 5 (best) and the level of excellence was set on 4. 34% of nursing staff evaluated their job satisfaction excellent (Mean: 4.00-5.00) and 66% worse than excellent (Mean: 1.00-3.99). The higher work position (nurse leaders), higher quality of work, advanced age, and shorter work experience in current unit were significant predictors of excellent job satisfaction.

Conclusions

The factors predicting excellent job satisfaction offer important information for developing hospital work environments. Quality of work is essential for assuring job satisfaction. Hospitals are complex, continuously changing work environments. Hospital managers should continuously evaluate job satisfaction and quickly react to gained results.

References:

Kvist T, Mäntynen R, Turunen H, Partanen P, Miettinen M, Wolf GA & Vehviläinen-Julkunen K. 2012. How Magnetic Are Finnish Hospitals Measured by Transformational Leadership and Empirical Quality Outcomes? Journal of Nursing Management. DOI: 10.1111/j.1365-2834.2012.01456.2012.

Keywords

Job satisfaction, Nursing staff, Web-based survey, Hospital, Quality Outcome

Keywords:
job satisfaction; nursing staff; hospital
Repository Posting Date:
19-Dec-2013
Date of Publication:
19-Dec-2013
Conference Date:
2013
Conference Name:
42nd Biennial Convention
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Indianapolis, Indiana, USA
Description:
42nd Biennial Convention 2013 Theme: Give Back to Move Forward. Held at the JW Marriott

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.type.categoryAbstracten_GB
dc.typePresentationen_GB
dc.titleFactors predicting excellent job satisfaction of Finnish nursing staffen_GB
dc.contributor.authorKvist, Tarjaen_GB
dc.contributor.authorVehviläinen-Julkunen, Katrien_GB
dc.contributor.authorMäntynen, Raijaen_GB
dc.contributor.departmentNon-memberen_GB
dc.author.detailsTarja Kvist, PhD, RN, tarja.kvist@uef.fi; Katri Vehviläinen-Julkunen, PhD, RN, RM; Raija Mäntynen, PhDen_GB
dc.identifier.urihttp://hdl.handle.net/10755/308542-
dc.description.abstract<p>Session presented on: Sunday, November 17, 2013</p><b>Background</b><p>Job satisfaction of staff is an essential outcome variable in research describing the work environment of healthy hospitals, and an important success factor and quality outcome of Magnet hospitals. Our earlier study (Kvist et al. 2012) indicated some excellence of job satisfaction of nursing staff. <p><b>Purpose</b><p>Purpose of this study is describe which background factors predict the excellent job satisfaction of nursing staff. <p><b>Methods</b><p>Data were collected from 1201 nursing staff members from three central hospitals using the web-based Kuopio University Job Satisfaction Scale survey instrument in autumn 2010. The data were analysed using SPSS 19.0 for Windows. Frequency and percentage distributions and mean values were used to describe the data. Logistic regression analysis was used to analyse the factors predicting excellent job satisfaction. <p><b>Results</b><p>Most respondents were women (88%). They were working as nurse leaders (9%), registered nurses (70%), physiotherapists (8%), practical nurses (11%) and others (2%). Job satisfaction ranged from 1 (poor) to 5 (best) and the level of excellence was set on 4. 34% of nursing staff evaluated their job satisfaction excellent (Mean: 4.00-5.00) and 66% worse than excellent (Mean: 1.00-3.99). The higher work position (nurse leaders), higher quality of work, advanced age, and shorter work experience in current unit were significant predictors of excellent job satisfaction. <p><b>Conclusions</b><p>The factors predicting excellent job satisfaction offer important information for developing hospital work environments. Quality of work is essential for assuring job satisfaction. Hospitals are complex, continuously changing work environments. Hospital managers should continuously evaluate job satisfaction and quickly react to gained results. <p>References: <p>Kvist T, Mäntynen R, Turunen H, Partanen P, Miettinen M, Wolf GA & Vehviläinen-Julkunen K. 2012. How Magnetic Are Finnish Hospitals Measured by Transformational Leadership and Empirical Quality Outcomes? Journal of Nursing Management. DOI: 10.1111/j.1365-2834.2012.01456.2012. <p><b>Keywords</b><p>Job satisfaction, Nursing staff, Web-based survey, Hospital, Quality Outcomeen_GB
dc.subjectjob satisfactionen_GB
dc.subjectnursing staffen_GB
dc.subjecthospitalen_GB
dc.date.available2013-12-19T17:32:42Z-
dc.date.issued2013-12-19-
dc.date.accessioned2013-12-19T17:32:42Z-
dc.conference.date2013en_GB
dc.conference.name42nd Biennial Conventionen_GB
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen_GB
dc.conference.locationIndianapolis, Indiana, USAen_GB
dc.description42nd Biennial Convention 2013 Theme: Give Back to Move Forward. Held at the JW Marriotten_GB
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