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Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146858/ https://www.ncbi.nlm.nih.gov/pubmed/21682912 http://dx.doi.org/10.1186/1471-2458-11-478 |
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author | Chien, Tsair-Wei Lai, Wen-Pin Wang, Hsien-Yi Hsu, Sen-Yen Castillo, Roberto Vasquez Guo, How-Ran Chen, Shih-Chung Su, Shih-Bin |
author_facet | Chien, Tsair-Wei Lai, Wen-Pin Wang, Hsien-Yi Hsu, Sen-Yen Castillo, Roberto Vasquez Guo, How-Ran Chen, Shih-Chung Su, Shih-Bin |
author_sort | Chien, Tsair-Wei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3146858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31468582011-07-31 Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers Chien, Tsair-Wei Lai, Wen-Pin Wang, Hsien-Yi Hsu, Sen-Yen Castillo, Roberto Vasquez Guo, How-Ran Chen, Shih-Chung Su, Shih-Bin BMC Public Health Research Article 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. BioMed Central 2011-06-18 /pmc/articles/PMC3146858/ /pubmed/21682912 http://dx.doi.org/10.1186/1471-2458-11-478 Text en Copyright ©2011 Chien et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chien, Tsair-Wei Lai, Wen-Pin Wang, Hsien-Yi Hsu, Sen-Yen Castillo, Roberto Vasquez Guo, How-Ran Chen, Shih-Chung Su, Shih-Bin Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers |
title | Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers |
title_full | Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers |
title_fullStr | Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers |
title_full_unstemmed | Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers |
title_short | Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers |
title_sort | applying the revised chinese job content questionnaire to assess psychosocial work conditions among taiwan's hospital workers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146858/ https://www.ncbi.nlm.nih.gov/pubmed/21682912 http://dx.doi.org/10.1186/1471-2458-11-478 |
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