Literature DB >> 23044050

Low job satisfaction does not identify nurses at risk of future sickness absence: results from a Norwegian cohort study.

C A M Roelen1, N Magerøy, W van Rhenen, J W Groothoff, J J L van der Klink, S Pallesen, B Bjorvatn, B E Moen.   

Abstract

BACKGROUND: Sickness absence is high in healthcare and contributes to nursing staff shortages reducing the efficiency and quality of patient care. Assessing the risk of sickness absence in working nurses opens opportunities for preventive strategies. Job satisfaction has attracted much attention in healthcare research and has been associated with sickness absence among nurses.
OBJECTIVES: To investigate if job satisfaction scores are useful to identify working nurses at risk of future sickness absence.
DESIGN: Prospective cohort study with a baseline period from November 2008 to March 2009 and 1-year follow-up. SETTINGS: Hospitals, nursing homes, and ambulant care settings in Norway. PARTICIPANTS: 2059 Norwegian nurses, of whom 1582 (77%) could be followed-up.
METHODS: Nurses received a questionnaire at baseline and after 1-year follow-up. The questionnaire contained the Job Satisfaction Index (JSI), a 5-item scale measuring overall job satisfaction, and asked for sickness absence in the last 12 months. Baseline JSI scores were included in a logistic regression model with self-rated sickness absence at 1-year follow-up as outcome variable. Predictions of sickness absence were calibrated by the Hosmer-Lemeshow goodness-of-fit test. The ability of JSI scores to discriminate between nurses with and without sickness absence was examined by receiver operating characteristic analysis and expressed as area under the curve (AUC).
RESULTS: Low job satisfaction was associated with higher odds of sickness absence (odds ratio [OR]=1.05; 95% confidence interval [CI] 1.01-1.09) and high (≥ 31 days) sickness absence (OR=1.10; 95% CI 1.06-1.14). Calibration was acceptable, but job satisfaction neither discriminated between nurses with and without sickness absence (AUC=0.54; 95% CI 0.51-0.58) nor between nurses with and without high (≥ 31 days) sickness absence (AUC=0.58; 95% CI 0.54-0.63).
CONCLUSIONS: The results of this study indicated that job satisfaction was associated with sickness absence, though job satisfaction scores as measured with the JSI did not identify working nurses at risk of sickness absence.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23044050     DOI: 10.1016/j.ijnurstu.2012.09.012

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  6 in total

1.  Updating and prospective validation of a prognostic model for high sickness absence.

Authors:  C A M Roelen; M W Heymans; J W R Twisk; W van Rhenen; S Pallesen; B Bjorvatn; B E Moen; N Magerøy
Journal:  Int Arch Occup Environ Health       Date:  2014-03-25       Impact factor: 3.015

2.  Factors associated with high job satisfaction among care workers in Swiss nursing homes - a cross sectional survey study.

Authors:  René Schwendimann; Suzanne Dhaini; Dietmar Ausserhofer; Sandra Engberg; Franziska Zúñiga
Journal:  BMC Nurs       Date:  2016-06-06

3.  Psychosocial Work Environment Explains the Association of Job Dissatisfaction With Long-term Sickness Absence: A One-Year Prospect Study of Japanese Employees.

Authors:  Akiomi Inoue; Akizumi Tsutsumi; Yuko Kachi; Hisashi Eguchi; Akihito Shimazu; Norito Kawakami
Journal:  J Epidemiol       Date:  2019-07-13       Impact factor: 3.211

4.  Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis.

Authors:  Basem Gohar; Michel Larivière; Nancy Lightfoot; Céline Larivière; Elizabeth Wenghofer; Behdin Nowrouzi-Kia
Journal:  Saf Health Work       Date:  2021-07-19

5.  Evaluating sickness absence duration by musculoskeletal and mental health issues: a retrospective cohort study of Scottish healthcare workers.

Authors:  Evangelia Demou; Shanley Smith; Abita Bhaskar; Daniel F Mackay; Judith Brown; Kate Hunt; Sergio Vargas-Prada; Ewan B Macdonald
Journal:  BMJ Open       Date:  2018-01-26       Impact factor: 2.692

6.  The demographic predictors of job satisfaction among the nurses of a major public hospital in KSA.

Authors:  Hind I Al-Haroon; Mona F Al-Qahtani
Journal:  J Taibah Univ Med Sci       Date:  2019-12-11
  6 in total

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