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Psychological approach of occupational health service to sick leave due to mental problems: a systematic review and meta-analysis

Purpose The effects of interventions by occupational health services on sick leave prompted by psychiatric disorders were examined with respect to intervention method and the number of sick leave days. Methods The intervention methods used by occupational health services were systematically reviewed...

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Published in:International archives of occupational and environmental health 2015-08, Vol.88 (6), p.659-667
Main Authors: Doki, Shotaro, Sasahara, Shinichiro, Matsuzaki, Ichiyo
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description Purpose The effects of interventions by occupational health services on sick leave prompted by psychiatric disorders were examined with respect to intervention method and the number of sick leave days. Methods The intervention methods used by occupational health services were systematically reviewed by searching three databases and manual searching. A meta-analysis of the number of sick leave days comparing the intervention group [intervention + care as usual (CAU)] and control group (CAU alone) was performed. In addition, subanalyses were conducted for the duration until sick-listed workers’ return to work after sick leave (Subgroup 1) and the number of non-sick-listed workers’ total sick leave days (Subgroup 2). Results Ten studies were extracted and integrated, and the subjects were subsequently sorted into the intervention group ( n  = 434, 322, and 756 in subgroup 1, subgroup 2, and total, respectively) and control group ( n  = 413, 385, and 798 in subgroup 1, subgroup 2, and total, respectively). All studies employed an intervention method of problem-solving treatment or cognitive behavioral therapy (CBT). There were no significant differences between the intervention and control groups in subgroup 1 or 2. However, the combined intervention group had significantly fewer total sick leave days than the combined control group (mean difference −6.64 days, 95 % CI −12.68 to −0.59, I 2  = 0 %). Conclusions The combined study of sick-listed and non-sick-listed workers indicates occupational health services implement problem-solving treatment or CBT interventions, which can shorten total sick leave duration.
doi_str_mv 10.1007/s00420-014-0996-8
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Methods The intervention methods used by occupational health services were systematically reviewed by searching three databases and manual searching. A meta-analysis of the number of sick leave days comparing the intervention group [intervention + care as usual (CAU)] and control group (CAU alone) was performed. In addition, subanalyses were conducted for the duration until sick-listed workers’ return to work after sick leave (Subgroup 1) and the number of non-sick-listed workers’ total sick leave days (Subgroup 2). Results Ten studies were extracted and integrated, and the subjects were subsequently sorted into the intervention group ( n  = 434, 322, and 756 in subgroup 1, subgroup 2, and total, respectively) and control group ( n  = 413, 385, and 798 in subgroup 1, subgroup 2, and total, respectively). All studies employed an intervention method of problem-solving treatment or cognitive behavioral therapy (CBT). There were no significant differences between the intervention and control groups in subgroup 1 or 2. However, the combined intervention group had significantly fewer total sick leave days than the combined control group (mean difference −6.64 days, 95 % CI −12.68 to −0.59, I 2  = 0 %). 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Methods The intervention methods used by occupational health services were systematically reviewed by searching three databases and manual searching. A meta-analysis of the number of sick leave days comparing the intervention group [intervention + care as usual (CAU)] and control group (CAU alone) was performed. In addition, subanalyses were conducted for the duration until sick-listed workers’ return to work after sick leave (Subgroup 1) and the number of non-sick-listed workers’ total sick leave days (Subgroup 2). Results Ten studies were extracted and integrated, and the subjects were subsequently sorted into the intervention group ( n  = 434, 322, and 756 in subgroup 1, subgroup 2, and total, respectively) and control group ( n  = 413, 385, and 798 in subgroup 1, subgroup 2, and total, respectively). All studies employed an intervention method of problem-solving treatment or cognitive behavioral therapy (CBT). 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Methods The intervention methods used by occupational health services were systematically reviewed by searching three databases and manual searching. A meta-analysis of the number of sick leave days comparing the intervention group [intervention + care as usual (CAU)] and control group (CAU alone) was performed. In addition, subanalyses were conducted for the duration until sick-listed workers’ return to work after sick leave (Subgroup 1) and the number of non-sick-listed workers’ total sick leave days (Subgroup 2). Results Ten studies were extracted and integrated, and the subjects were subsequently sorted into the intervention group ( n  = 434, 322, and 756 in subgroup 1, subgroup 2, and total, respectively) and control group ( n  = 413, 385, and 798 in subgroup 1, subgroup 2, and total, respectively). All studies employed an intervention method of problem-solving treatment or cognitive behavioral therapy (CBT). 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ispartof International archives of occupational and environmental health, 2015-08, Vol.88 (6), p.659-667
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1432-1246
language eng
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source Springer Nature
subjects Cognitive Therapy
Earth and Environmental Science
Environment
Environmental Health
Female
Health services
Humans
Intervention
Male
Mental disorders
Mental Disorders - psychology
Mental Disorders - therapy
Meta-analysis
Occupational health
Occupational Health Services - methods
Occupational Medicine/Industrial Medicine
Problem Solving
Psychology
Randomized Controlled Trials as Topic
Rehabilitation
Return to Work - statistics & numerical data
Review Article
Sick Leave - statistics & numerical data
title Psychological approach of occupational health service to sick leave due to mental problems: a systematic review and meta-analysis
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