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Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain
Purpose The primary aim of this study was to evaluate the predictive ability of the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) concerning long-term sick leave, sickness presenteeism and disability pension during a follow-up period of 2 years. Methods The study group consisted of 195...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000420/ https://www.ncbi.nlm.nih.gov/pubmed/23771777 http://dx.doi.org/10.1007/s10926-013-9454-9 |
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author | Bergström, Gunnar Hagberg, Jan Busch, Hillevi Jensen, Irene Björklund, Christina |
author_facet | Bergström, Gunnar Hagberg, Jan Busch, Hillevi Jensen, Irene Björklund, Christina |
author_sort | Bergström, Gunnar |
collection | PubMed |
description | Purpose The primary aim of this study was to evaluate the predictive ability of the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) concerning long-term sick leave, sickness presenteeism and disability pension during a follow-up period of 2 years. Methods The study group consisted of 195 employees visiting the occupational health service (OHS) due to back pain. Results Using receiver operating characteristic (ROC) curves, the area under the curve (AUC) varied from 0.67 to 0.93, which was from less accurate for sickness presenteeism to highly accurate for the prediction of disability pension. For registered sick leave during 6 months following the baseline the AUC from the ROC analyses was moderately accurate (0.81) and a cut off score of 90 rendered a high sensitivity of 0.89 but a low specificity of 0.46 whereas a cut off score of 105 improves the specificity substantially but at the cost of some sensitivity. The predictive ability appears to decrease with time. Several workplace factors beyond those included in the ÖMPSQ were considered but only social support at the workplace was significantly related to future long-term sick leave besides the total score of the ÖMPSQ. Conclusions The results of this study extend and confirm the findings of earlier research on the ÖMPSQ. Assessment of psychosocial risk factors among employees seeking help for back pain at the OHS could be helpful in the prevention of work disabling problems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10926-013-9454-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4000420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-40004202014-05-07 Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain Bergström, Gunnar Hagberg, Jan Busch, Hillevi Jensen, Irene Björklund, Christina J Occup Rehabil Article Purpose The primary aim of this study was to evaluate the predictive ability of the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) concerning long-term sick leave, sickness presenteeism and disability pension during a follow-up period of 2 years. Methods The study group consisted of 195 employees visiting the occupational health service (OHS) due to back pain. Results Using receiver operating characteristic (ROC) curves, the area under the curve (AUC) varied from 0.67 to 0.93, which was from less accurate for sickness presenteeism to highly accurate for the prediction of disability pension. For registered sick leave during 6 months following the baseline the AUC from the ROC analyses was moderately accurate (0.81) and a cut off score of 90 rendered a high sensitivity of 0.89 but a low specificity of 0.46 whereas a cut off score of 105 improves the specificity substantially but at the cost of some sensitivity. The predictive ability appears to decrease with time. Several workplace factors beyond those included in the ÖMPSQ were considered but only social support at the workplace was significantly related to future long-term sick leave besides the total score of the ÖMPSQ. Conclusions The results of this study extend and confirm the findings of earlier research on the ÖMPSQ. Assessment of psychosocial risk factors among employees seeking help for back pain at the OHS could be helpful in the prevention of work disabling problems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10926-013-9454-9) contains supplementary material, which is available to authorized users. Springer US 2013-06-18 2014 /pmc/articles/PMC4000420/ /pubmed/23771777 http://dx.doi.org/10.1007/s10926-013-9454-9 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Article Bergström, Gunnar Hagberg, Jan Busch, Hillevi Jensen, Irene Björklund, Christina Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain |
title | Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain |
title_full | Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain |
title_fullStr | Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain |
title_full_unstemmed | Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain |
title_short | Prediction of Sickness Absenteeism, Disability Pension and Sickness Presenteeism Among Employees with Back Pain |
title_sort | prediction of sickness absenteeism, disability pension and sickness presenteeism among employees with back pain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000420/ https://www.ncbi.nlm.nih.gov/pubmed/23771777 http://dx.doi.org/10.1007/s10926-013-9454-9 |
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