Prediction of Long-Term Sickness Absence Among Employees with Depressive Complaints

Introduction To study the properties of a screening instrument in predicting long-term sickness absence among employees with depressive complaints. Methods Employees at high risk of future sickness absence were selected by the screening instrument Balansmeter (BM). Depressive complaints were assesse...

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Bibliographic Details
Published in:	Journal of occupational rehabilitation Vol. 22; no. 2; pp. 262 - 269
Main Authors:	Lexis, M. A. S., Jansen, N. W. H., van Amelsvoort, L. G. P. M., Huibers, M. J. H., Berkouwer, A., Tjin A Ton, G., van den Brandt, P. A., Kant, I J.
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01-06-2012 Springer Springer Nature B.V
Subjects:	Absenteeism Adolescent Adult Aged Anxiety Clinical Psychology Clinical trials Cohort analysis Depression Depression - diagnosis Depression - epidemiology Depression - psychology Depression, Mental Employees Environmental Health Female Follow-Up Studies Forecasting Health Psychology Hospitals Humans Leaves of absence Male Maternity & paternity leaves Medicine Medicine & Public Health Mental depression Mental health Middle Aged Occupational health Occupational Medicine/Industrial Medicine Orthopedics Population Prediction Predictive Value of Tests Psychometrics Public health Questionnaires Registries Rehabilitation Risk Assessment Risk Factors Sensitivity Sick leave Sick Leave - trends Socioeconomic Factors Studies Surveys and Questionnaires - standards Time Factors Womens health Work Capacity Evaluation Worker absenteeism Workers Young Adult Depressive complaints Employees Screening instrument Sickness absence Prediction
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Summary:	Introduction To study the properties of a screening instrument in predicting long-term sickness absence among employees with depressive complaints. Methods Employees at high risk of future sickness absence were selected by the screening instrument Balansmeter (BM). Depressive complaints were assessed with the depression scale of the Hospital Anxiety and Depression Scale. The total study population consisted of 7,401 employees. Sickness absence was assessed objectively and analyzed at 12 and 18 months of follow-up using company registers on certified sick leave. Results The relative risk (RR) for long-term sickness absence, for employees at high risk versus not at high risk, was 3.26 (95% CI 2.54–4.22) in men and 2.55 (1.98–3.35) in women, when the BM was applied in the total study population. The RR of long-term sickness absence of employees with depressive complaints compared with employees without depressive complaints was 3.13 (2.41–4.09) in men and 2.45 (2.00–3.00) in women. The RR of long-term sickness absence for the BM applied in employees with depressive complaints was 5.23 in men and 3.87 in women. When the BM with a cut-off point with a higher sensitivity was applied in employees with depressive complaints, the RR for long-term sickness absence was 4.88 in men and 3.80 in women. Conclusions The screening instrument Balansmeter is able to predict long-term sickness absence within employees with depressive complaints. The total prediction of long-term sickness absence proved better in employees with depressive complaints compared with employees of a general working population.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	1053-0487 1573-3688
DOI:	10.1007/s10926-011-9334-0