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Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany
OBJECTIVES: Nurses are generally found to be vulnerable to burnout, but nurses working in cancer care are even more so, since this profession is characterised by continuous confrontation with suffering and death. This study was designed to identify cut-off scores for job strain, that is, low job con...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303688/ https://www.ncbi.nlm.nih.gov/pubmed/30530574 http://dx.doi.org/10.1136/bmjopen-2017-021366 |
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author | Zeike, Sabrina Ansmann, Lena Lindert, Lara Samel, Christina Kowalski, Christoph Pfaff, Holger |
author_facet | Zeike, Sabrina Ansmann, Lena Lindert, Lara Samel, Christina Kowalski, Christoph Pfaff, Holger |
author_sort | Zeike, Sabrina |
collection | PubMed |
description | OBJECTIVES: Nurses are generally found to be vulnerable to burnout, but nurses working in cancer care are even more so, since this profession is characterised by continuous confrontation with suffering and death. This study was designed to identify cut-off scores for job strain, that is, low job control and high job demands, for a sample of nurses working in breast cancer care. The main goal was to find cut-off scores, which predict the risk of nurses of developing a mental disorder from high job strain. DESIGN: The design was a cross-sectional survey study. SETTING: The study is based on an employee survey in breast cancer centres in Germany. PARTICIPANTS: 688 nurses received a questionnaire; 329 nurses from 33 hospitals participated in the survey (return rate: 50.2%). PRIMARY AND SECONDARY OUTCOME MEASURES: Dependent variable: psychological well-being, measured by the WHO-5 Well-being Index; independent variables: job control and job demands, measured by the Job Content Questionnaire (JCQ). RESULTS: Multivariable analysis indicates that low job control and high job demands are prognostic factors for low well-being. In a receiver operating curve (ROC) analysis, the cut-off scores, which demonstrated a maximum Youden index, were 34.5 for job control and 31.4 for job demands. The combination of both scales from a logistic regression analysis resulted in an area under the curve of 0.778. Sensitivity and specificity are 70.3% and 74.2%, respectively. The total of correct classification was 63.3%. CONCLUSION: The determined cut-off scores indicate that there is a risk of becoming psychologically ill from a high workload when an individual reaches a score of ≤34.5 for job control and ≥31.4 for job demands. The described method of establishing risk-based cut-off scores is promising for nursing practice and for the field of occupational health. Transferability and generalisability of the cut-off scores should be further analysed. |
format | Online Article Text |
id | pubmed-6303688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-63036882019-01-04 Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany Zeike, Sabrina Ansmann, Lena Lindert, Lara Samel, Christina Kowalski, Christoph Pfaff, Holger BMJ Open Occupational and Environmental Medicine OBJECTIVES: Nurses are generally found to be vulnerable to burnout, but nurses working in cancer care are even more so, since this profession is characterised by continuous confrontation with suffering and death. This study was designed to identify cut-off scores for job strain, that is, low job control and high job demands, for a sample of nurses working in breast cancer care. The main goal was to find cut-off scores, which predict the risk of nurses of developing a mental disorder from high job strain. DESIGN: The design was a cross-sectional survey study. SETTING: The study is based on an employee survey in breast cancer centres in Germany. PARTICIPANTS: 688 nurses received a questionnaire; 329 nurses from 33 hospitals participated in the survey (return rate: 50.2%). PRIMARY AND SECONDARY OUTCOME MEASURES: Dependent variable: psychological well-being, measured by the WHO-5 Well-being Index; independent variables: job control and job demands, measured by the Job Content Questionnaire (JCQ). RESULTS: Multivariable analysis indicates that low job control and high job demands are prognostic factors for low well-being. In a receiver operating curve (ROC) analysis, the cut-off scores, which demonstrated a maximum Youden index, were 34.5 for job control and 31.4 for job demands. The combination of both scales from a logistic regression analysis resulted in an area under the curve of 0.778. Sensitivity and specificity are 70.3% and 74.2%, respectively. The total of correct classification was 63.3%. CONCLUSION: The determined cut-off scores indicate that there is a risk of becoming psychologically ill from a high workload when an individual reaches a score of ≤34.5 for job control and ≥31.4 for job demands. The described method of establishing risk-based cut-off scores is promising for nursing practice and for the field of occupational health. Transferability and generalisability of the cut-off scores should be further analysed. BMJ Publishing Group 2018-12-09 /pmc/articles/PMC6303688/ /pubmed/30530574 http://dx.doi.org/10.1136/bmjopen-2017-021366 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Occupational and Environmental Medicine Zeike, Sabrina Ansmann, Lena Lindert, Lara Samel, Christina Kowalski, Christoph Pfaff, Holger Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany |
title | Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany |
title_full | Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany |
title_fullStr | Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany |
title_full_unstemmed | Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany |
title_short | Identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in Germany |
title_sort | identifying cut-off scores for job demands and job control in nursing professionals: a cross-sectional survey in germany |
topic | Occupational and Environmental Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303688/ https://www.ncbi.nlm.nih.gov/pubmed/30530574 http://dx.doi.org/10.1136/bmjopen-2017-021366 |
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