[en] 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 (alpha > 0.70) for all scales, except for perfectionism (alpha = 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 (rho < 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.
Disciplines :
Public health, health care sciences & services
Author, co-author :
Goorts, Kaat
Vandenbroeck, Sofie
Vander Elst, Tinne
Rusu, Dorina ; Université de Liège - ULiège > Département des sciences de la santé publique > Médecine du travail et environnementale
Du Bois, Marc
Godderis, Lode
Language :
English
Title :
Quickscan Assesses Risk of Long-Term Sickness Absence: A Cross-Sectional Validation Study.
Publication date :
2019
Journal title :
Journal of Occupational and Environmental Medicine
ISSN :
1076-2752
eISSN :
1536-5948
Publisher :
Lippincott Williams and Wilkins, United States - Maryland
Kausto J, Pentti J, Oksanen T, et al. Length of sickness absence and sustained return-to-work in mental disorders and musculoskeletal diseases: A cohort study of public sector employees. Scand J Work Environ Health. 2017; 43:358-366.
Tompa E, De Oliveira C, Dolinschi R, Irvin E. A systematic review of disability management interventions with economic evaluations. J Occup Rehabil. 2008;18:16-26.
Wiencke M, Cacace M, Fischer S. Healthy at Work Interdisciplinary Perspectives. Switzerland: Springer International Publishing; 2016.
Mairiaux P, Schippers N, Kéfer F, Cornélis S, Donceel P, Somwille PR. Werkhervatting na een langdurige afwezigheid [Work-resumption after longterm sickness absence]; 2012.
Beemsterboer W, Stewart R, Groothoff J, Nijhuis F. A literature review on sick leave determinants (1984-2004). Int J Occup Med Environ Health. 2009;22:169-179.
Dekkers-Sanchez PM, Hoving JL, Sluiter JK, Frings-Dresen MH. Factors associated with long-term sick leave in sick-listed employees: A systematic review. Occup Environ Med. 2008;65:153-157.
Mairiaux P, Somville PR. Incapacité De travail prolongée. Revue des facteurs De risque professionnels et des stratégies d'intervention [Extended inability to work: Review of occupational risk factors and intervention strategies]. Archives des maladies professionnelles et De l'environnement. 2015;76: 458-467.
Goorts K, Duchesnes C, Vandenbroeck S, et al. Is langdurig ziekteverzuim voorspelbaar en meetbaar? [Can long-term sickness absence be measured and predicted?]. TBV - Tijdschrift voor Bedrijfs- en Verzekeringsgeneeskunde. 2017;25:59-62.
Bowen NK, Guo S. Structural Equation Modeling. New York: Oxford University Press; 2011.
Co-prev, 2017 [Available at: Http://www.co-prev.be/]. Accessed March 30, 2018.
Pauwels S, De Schryver A, Ronsmans S, et al. PROBE studie: Onderzoek naar De blootstelling van De Belgische werknemers aan gevaarlijke chemische producten via peilpraktijken [Research to the exposure of Belgian workers to hazardous chemical products through sentinel approach]; 2018.
Weston R, Gore Jr. PA. A brief guide to structural equation modeling. Counseling Psychol. 2006;34:719-751.
Nunnally JC. Psychometric Theory. New York: McGraw-Hill; 1978.
Moss S, Prosser H, Costello H, et al. Reliability and validity of the PAS-ADD Checklist for detecting psychiatric disorders in adults with intellectual disability. J Intellect Disabil Res. 1998;42:173-183.
Airaksinen J, Jokela M, Virtanen M, et al. Prediction of long-term absence due to sickness in employees: Development and validation of a multifactorial risk score in two cohort studies. Scand J Work Environ Health. 2018;44: 274-282.
Goorts K, Vandenbroeck S, Rusu D, Du Bois M, Godderis L. Screening for the risk on long-term sickness absence. J Public Health Res. 2018;7:2.
