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Published in: BMC Public Health 1/2011

Open Access 01-12-2011 | Research article

Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers

Authors: Tsair-Wei Chien, Wen-Pin Lai, Hsien-Yi Wang, Sen-Yen Hsu, Roberto Vasquez Castillo, How-Ran Guo, Shih-Chung Chen, Shih-Bin Su

Published in: BMC Public Health | Issue 1/2011

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Abstract

Background

For hospital accreditation and health promotion reasons, we examined whether the 22-item Job Content Questionnaire (JCQ) could be applied to evaluate job strain of individual hospital employees and to determine the number of factors extracted from JCQ. Additionally, we developed an Excel module of self-evaluation diagnostic system for consultation with experts.

Methods

To develop an Excel-based self-evaluation diagnostic system for consultation to experts to make job strain assessment easier and quicker than ever, Rasch rating scale model was used to analyze data from 1,644 hospital employees who enrolled in 2008 for a job strain survey. We determined whether the 22-item Job Content Questionnaire (JCQ) could evaluate job strain of individual employees in work sites. The respective item responding to specific groups' occupational hazards causing job stress was investigated by using skewness coefficient with its 95% CI through item-by-item analyses.

Results

Each of those 22 items on the questionnaire was examined to have five factors. The prevalence rate of Chinese hospital workers with high job strain was 16.5%.

Conclusions

Graphical representations of four quadrants, item-by-item bar chart plots and skewness 95% CI comparison generated in Excel can help employers and consultants of an organization focusing on a small number of key areas of concern for each worker in job strain.
Appendix
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Metadata
Title
Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers
Authors
Tsair-Wei Chien
Wen-Pin Lai
Hsien-Yi Wang
Sen-Yen Hsu
Roberto Vasquez Castillo
How-Ran Guo
Shih-Chung Chen
Shih-Bin Su
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2011
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-11-478

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