Literature DB >> 33313909

Meta-analysis of nursing-related organizational and psychosocial predictors of sickness absence.

B Gohar1,2, M Larivière3, N Lightfoot4, E Wenghofer5, C Larivière6, B Nowrouzi-Kia2,7.   

Abstract

BACKGROUND: Nursing is a stressful occupation with high rates of sickness absence. To date, there are no meta-analyses that statistically determined the correlates of sickness absence in this population. AIMS: This meta-analysis examined organizational and psychosocial predictors of sickness absence among nursing staff.
METHODS: As a registered systematic review (PROSPERO: CRD42017071040), which followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, five databases (CINAHL, PROQuest Allied, PROQuest database theses, PsycINFO, PubMed) were reviewed to examine predictors of sickness absence in nurses and nursing assistants between 1990 and 2019. The Population/Intervention/Comparison/Outcome tool was used to support our searches. Effect sizes were analysed using random-effects model.
RESULTS: Following critical appraisals using (i) National Institutes of Health's Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies and (ii) Strengthening the Reporting of Observational Studies in Epidemiology, 21 studies were included. Nursing assistants had greater odds of sickness absence than nurses. Working night shifts, in paediatrics or psychiatric units, experiencing poor mental health, and fatigue, also increased the odds of sickness absence. There was no evidence that job satisfaction or job strain influenced sickness absence; however, job demand increased the likelihood. Finally, work support reduced the odds of lost-time.
CONCLUSIONS: We synthesized three decades of research where several factors influenced sickness absence. Due to limited recent research, the results should be interpreted with caution as some practices may have changed overtime or between countries. Nevertheless, these findings could help in applying preventative strategies to mitigate lost-time in a vulnerable working population.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Meta-analysis; nursing; risk prediction; sickness absence

Mesh:

Year:  2020        PMID: 33313909     DOI: 10.1093/occmed/kqaa144

Source DB:  PubMed          Journal:  Occup Med (Lond)        ISSN: 0962-7480            Impact factor:   1.611


  4 in total

1.  Does Exposure to High Job Demands, Low Decision Authority, or Workplace Violence Mediate the Association between Employment in the Health and Social Care Industry and Register-Based Sickness Absence? A Longitudinal Study of a Swedish Cohort.

Authors:  Anna Nyberg; Paraskevi Peristera; Susanna Toivanen; Gun Johansson
Journal:  Int J Environ Res Public Health       Date:  2021-12-21       Impact factor: 3.390

2.  Sick Leave and Intention to Quit the Job among Nursing Staff in German Hospitals during the COVID-19 Pandemic.

Authors:  Caterina Schug; Franziska Geiser; Nina Hiebel; Petra Beschoner; Lucia Jerg-Bretzke; Christian Albus; Kerstin Weidner; Eva Morawa; Yesim Erim
Journal:  Int J Environ Res Public Health       Date:  2022-02-10       Impact factor: 3.390

3.  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

4.  Night Work and Sustainable Working Life-A Prospective Trajectory Analysis of Swedish Twins.

Authors:  Annina Ropponen; Mo Wang; Auriba Raza; Jurgita Narusyte; Pia Svedberg
Journal:  Int J Environ Res Public Health       Date:  2022-08-31       Impact factor: 4.614

  4 in total

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