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Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study
OBJECTIVE: Increasing long-term sickness absence in many countries asks for specific measures regarding return-to work. METHODS: The risk of long-term sickness absence was assessed using a questionnaire containing work-related, function-related, stressful life-events-related, and person-related fact...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416017/ https://www.ncbi.nlm.nih.gov/pubmed/30516552 http://dx.doi.org/10.1097/JOM.0000000000001512 |
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author | Goorts, Kaat Vandenbroeck, Sofie Vander Elst, Tinne Rusu, Dorina Du Bois, Marc Godderis, Lode |
author_facet | Goorts, Kaat Vandenbroeck, Sofie Vander Elst, Tinne Rusu, Dorina Du Bois, Marc Godderis, Lode |
author_sort | Goorts, Kaat |
collection | PubMed |
description | OBJECTIVE: Increasing long-term sickness absence in many countries asks for specific measures regarding return-to work. METHODS: The risk of long-term sickness absence was assessed using a questionnaire containing work-related, function-related, stressful life-events-related, and person-related factors. Additionally, workers’ occupational health physician estimated the worker's chances for work resumption. Reliability, construct, and criterion validity of the questionnaire were measured. RESULTS: Two hundred seventy-six patients and 35 physicians participated in the study. The reliability was satisfying (α > 0.70) for all scales, except for perfectionism (α = 0.62). The results of the CFAs showed that the hypothesized factor models fitted the data well. Criterion validity tests showed that eight predictors significantly related to the estimation of the occupational physicians (ρ < 0.05). CONCLUSIONS: The scales of the questionnaire are reliable and valid, and may be implemented to assess sick-listed workers at risk who might benefit from a rehabilitation program. |
format | Online Article Text |
id | pubmed-6416017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-64160172019-03-16 Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study Goorts, Kaat Vandenbroeck, Sofie Vander Elst, Tinne Rusu, Dorina Du Bois, Marc Godderis, Lode J Occup Environ Med Original Articles OBJECTIVE: Increasing long-term sickness absence in many countries asks for specific measures regarding return-to work. METHODS: The risk of long-term sickness absence was assessed using a questionnaire containing work-related, function-related, stressful life-events-related, and person-related factors. Additionally, workers’ occupational health physician estimated the worker's chances for work resumption. Reliability, construct, and criterion validity of the questionnaire were measured. RESULTS: Two hundred seventy-six patients and 35 physicians participated in the study. The reliability was satisfying (α > 0.70) for all scales, except for perfectionism (α = 0.62). The results of the CFAs showed that the hypothesized factor models fitted the data well. Criterion validity tests showed that eight predictors significantly related to the estimation of the occupational physicians (ρ < 0.05). CONCLUSIONS: The scales of the questionnaire are reliable and valid, and may be implemented to assess sick-listed workers at risk who might benefit from a rehabilitation program. Lippincott Williams & Wilkins 2019-02 2018-12-04 /pmc/articles/PMC6416017/ /pubmed/30516552 http://dx.doi.org/10.1097/JOM.0000000000001512 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Occupational and Environmental Medicine. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Original Articles Goorts, Kaat Vandenbroeck, Sofie Vander Elst, Tinne Rusu, Dorina Du Bois, Marc Godderis, Lode Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study |
title | Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study |
title_full | Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study |
title_fullStr | Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study |
title_full_unstemmed | Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study |
title_short | Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study |
title_sort | quickscan assesses risk of long-term sickness absence: a cross-sectional validation study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416017/ https://www.ncbi.nlm.nih.gov/pubmed/30516552 http://dx.doi.org/10.1097/JOM.0000000000001512 |
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