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. 2011 Jun 18:11:478.
doi: 10.1186/1471-2458-11-478.

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

Tsair-Wei Chien  1 , Wen-Pin Lai, Hsien-Yi Wang, Sen-Yen Hsu, Roberto Vasquez Castillo, How-Ran Guo, Shih-Chung Chen, Shih-Bin Su
Affiliations

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

Tsair-Wei Chien et al. BMC Public Health. .

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.

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Figures

Figure 1
Figure 1
Parallel analysis for C-JCQ items. Note. Five factors were extracted by 95% CI of parallel analysis in the left panel.
Figure 2
Figure 2
JCQ report in Excel showing high strain with low workplace support for an examinee. Note. The darker the color, the greater the number.
Figure 3
Figure 3
Graphical representation of JCQ report in Excel showing examinee's aberrant response with item-by-item bar chart plot.
Figure 4
Figure 4
Skewness analysis to detect extremely abnormal group. Note: We are concerned with those groups with both positively skewed distribution.
See this image and copyright information in PMC

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