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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...

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Autores principales: Goorts, Kaat, Vandenbroeck, Sofie, Vander Elst, Tinne, Rusu, Dorina, Du Bois, Marc, Godderis, Lode
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
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.
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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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