Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders

Abstract Background Common mental disorders are highly prevalent in the working population, affecting about 1 in 5 persons in the Organisation for Economic Co-operation and Development countries. About 30% of those affected have a first period of sick leave. Despite several attempts to reduce the ri...

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Main Authors: E. Björk Brämberg, B. Arapovic-Johansson, U. Bültmann, P. Svedberg, G. Bergström
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-021-11786-6
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spelling doaj-36cc8c46dd6340688d645caea21ab0082021-10-03T11:18:17ZengBMCBMC Public Health1471-24582021-09-0121111310.1186/s12889-021-11786-6Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disordersE. Björk Brämberg0B. Arapovic-Johansson1U. Bültmann2P. Svedberg3G. Bergström4Institute of Environmental Medicine, Unit of Intervention and Implementation Research for Worker Health, Karolinska InstitutetInstitute of Environmental Medicine, Unit of Intervention and Implementation Research for Worker Health, Karolinska InstitutetUniversity of Groningen, University Medical Center Groningen, Department of Health Sciences, Community & Occupational MedicineDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska InstitutetInstitute of Environmental Medicine, Unit of Intervention and Implementation Research for Worker Health, Karolinska InstitutetAbstract Background Common mental disorders are highly prevalent in the working population, affecting about 1 in 5 persons in the Organisation for Economic Co-operation and Development countries. About 30% of those affected have a first period of sick leave. Despite several attempts to reduce the risk of sick leave among employees with common mental disorders, there is a lack of knowledge about effective, preventive interventions which aim to reduce such risks. This protocol describes the design of a study to evaluate the effectiveness of a problem-solving intervention delivered by first-line managers to employees with common mental disorders on the prevention of sick leave during the 12-month follow-up. Methods/design The study applies a two-armed cluster-randomized trial design of a problem-solving intervention conducted in private-sector companies. First-line managers are randomized into intervention- or control groups by computer-generated random numbers, allocation ratio 1:1. Employees are eligible if at risk for future sick leave due to common mental disorders. These are identified by self-reported psychological health measured by the General Health Questionnaire 12-item, cut-off ≥3, or a positive answer to risk of sick leave. The intervention is based on problem-solving principles. It involves the training of the first-line managers who then deliver the intervention to employees identified at risk of sick leave. First-line managers in the control group receives a lecture. Primary outcome is number of registered days of sick leave due to common mental disorders during the 12-month follow-up. Secondary outcomes are general health, psychological symptoms, work performance, work ability and psychosocial work environment. A process evaluation will examine the intervention’s reach, fidelity, dose delivered, dose received, satisfaction and context. Research assistants managing the screening procedure, outcome assessors and employees are blinded to randomization and allocation. Discussion The study includes analyses of the intervention’s effectiveness and an alongside process evaluation. Methodological strengths and limitations, for example the risk of selection bias, attrition and risk of contamination are discussed. Trial registration Clinicaltrials.gov NCT04975750 Date of registration: 08/16/2021.https://doi.org/10.1186/s12889-021-11786-6Adjustment disorderAnxiety disorderBlue-collar workerCluster-randomized controlled trialCommon mental disorderDepression
collection DOAJ
language English
format Article
sources DOAJ
author E. Björk Brämberg
B. Arapovic-Johansson
U. Bültmann
P. Svedberg
G. Bergström
spellingShingle E. Björk Brämberg
B. Arapovic-Johansson
U. Bültmann
P. Svedberg
G. Bergström
Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders
BMC Public Health
Adjustment disorder
Anxiety disorder
Blue-collar worker
Cluster-randomized controlled trial
Common mental disorder
Depression
author_facet E. Björk Brämberg
B. Arapovic-Johansson
U. Bültmann
P. Svedberg
G. Bergström
author_sort E. Björk Brämberg
title Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders
title_short Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders
title_full Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders
title_fullStr Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders
title_full_unstemmed Prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders
title_sort prevention of sick leave at the workplace: design of a cluster-randomized controlled trial of a problem-solving intervention among employees with common mental disorders
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2021-09-01
description Abstract Background Common mental disorders are highly prevalent in the working population, affecting about 1 in 5 persons in the Organisation for Economic Co-operation and Development countries. About 30% of those affected have a first period of sick leave. Despite several attempts to reduce the risk of sick leave among employees with common mental disorders, there is a lack of knowledge about effective, preventive interventions which aim to reduce such risks. This protocol describes the design of a study to evaluate the effectiveness of a problem-solving intervention delivered by first-line managers to employees with common mental disorders on the prevention of sick leave during the 12-month follow-up. Methods/design The study applies a two-armed cluster-randomized trial design of a problem-solving intervention conducted in private-sector companies. First-line managers are randomized into intervention- or control groups by computer-generated random numbers, allocation ratio 1:1. Employees are eligible if at risk for future sick leave due to common mental disorders. These are identified by self-reported psychological health measured by the General Health Questionnaire 12-item, cut-off ≥3, or a positive answer to risk of sick leave. The intervention is based on problem-solving principles. It involves the training of the first-line managers who then deliver the intervention to employees identified at risk of sick leave. First-line managers in the control group receives a lecture. Primary outcome is number of registered days of sick leave due to common mental disorders during the 12-month follow-up. Secondary outcomes are general health, psychological symptoms, work performance, work ability and psychosocial work environment. A process evaluation will examine the intervention’s reach, fidelity, dose delivered, dose received, satisfaction and context. Research assistants managing the screening procedure, outcome assessors and employees are blinded to randomization and allocation. Discussion The study includes analyses of the intervention’s effectiveness and an alongside process evaluation. Methodological strengths and limitations, for example the risk of selection bias, attrition and risk of contamination are discussed. Trial registration Clinicaltrials.gov NCT04975750 Date of registration: 08/16/2021.
topic Adjustment disorder
Anxiety disorder
Blue-collar worker
Cluster-randomized controlled trial
Common mental disorder
Depression
url https://doi.org/10.1186/s12889-021-11786-6
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