Affiliations 

  • 1 Department of Administrative Studies & Politics, University of Malaya , , Malaysia
  • 2 Department of Applied Statistics, Faculty of Economics and Administration, University of Malaya , Kuala Lumpur , Malaysia
  • 3 Department of Educational Management, Planning and Policy/Faculty of Education, University of Malaya , Kuala Lumpur , Malaysia
  • 4 Department of Administrative Studies and Politics, Faculty of Economics and Administration, University of Malaya , Kuala Lumpur , Malaysia
  • 5 COPPEAD Graduate Business School, Federal University of Rio de Janeiro , Rua Paschoal Lemme, Rio de Janeiro , Brazil
  • 6 Department of Nursing, Faculty of Health Sciences, Marmara University , İstanbul , Turkey
PeerJ, 2016;4:e1896.
PMID: 27168960 DOI: 10.7717/peerj.1896

Abstract

The aim of this study was to identify the facets influencing job satisfaction and intention to quit of nurses employed in Turkey. Using a non-probability sampling technique, 417 nurses from six large private hospitals were surveyed from March 2014 to June 2014. The nurses' demographic data, their job-related satisfaction and turnover intentions were recorded through a self-administered questionnaire. In this study, descriptive and bivariate analyses were used to explore data, and multivariate analysis was performed using logistic regression. Nurses' job satisfaction was found at a moderate level with 61% of the nurses intended to quit. Nevertheless, nurses reported a high satisfaction level with work environment, supervisor support, and co-workers among the selected nine facets of job satisfaction. They also reported a low satisfaction level with contingent reward, fringe benefits, and pay. The impact of demographic characteristics on job satisfaction and intention to quit was also examined. The study revealed a negative relationship between job satisfaction and intention to quit the existing employment. Moreover, satisfaction with supervisor support was the only facet that significantly explained turnover intent when controlling for gender, age, marital status, education, and experience. The implications for nurse management were also described for increasing nurses' job satisfaction and retention. This study is beneficial for hospital management to ensure proper nursing care that would lead to a better quality healthcare service.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.