EconPapers    
Economics at your fingertips  
 

Using the Job Demands–Resources Model to Evaluate Work-Related Outcomes Among Norwegian Health Care Workers

Sabine Kaiser, Joshua Patras, Frode Adolfsen, Astrid M. Richardsen and Monica Martinussen

SAGE Open, 2020, vol. 10, issue 3, 2158244020947436

Abstract: The job demands-resources (JD-R) model was used to evaluate work-related outcomes among 489 health care professionals working in public health services for children and their families in Norway. In accordance with the JD-R model, the relationship of job demands and job resources with different outcomes (turnover intention, job satisfaction, and service quality) should be mediated through burnout and engagement. The results of the multilevel structural equation model analysis indicated good model fit: The χ 2 /degrees of freedom ratio was 1.54, the root mean square error of approximation was .033, and the Tucker Lewis index and comparative fit index were both .92. Job demands were positively associated with burnout; job resources were positively related to engagement and negatively related to burnout. Burnout was positively related to turnover intention and negatively related to job satisfaction and service quality. Engagement was inversely related to the outcome variables. Both job demands and job resources are important predictors of employee well-being and organizational outcomes.

Keywords: job demands-resources model; collaboration; health and social care; SEM; burnout (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/2158244020947436 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:10:y:2020:i:3:p:2158244020947436

DOI: 10.1177/2158244020947436

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:sagope:v:10:y:2020:i:3:p:2158244020947436