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Effect of psychosocial work factors on the risk of certified absences from work for a diagnosed mental health problem: a protocol of a systematic review and meta-analysis of prospective studies.
BMJ Open. 2018 10 02; 8(10):e025948.BO

Abstract

INTRODUCTION

Mental health problems (MHPs) are frequent and disabling and are the first or second leading cause of certified sickness absences from work in industrialised countries. They are generally long lasting and generate a considerable human and socioeconomic burden. The deleterious effect of adverse psychosocial work factors on MHP has been documented. However, the evidence regarding the effect of these factors on absences from work for an MHP has not been synthesised since 2007. The proposed systematic review aims to synthesise the effect of adverse psychosocial work factors from three validated theoretical models (the demand-control-support, effort-reward-imbalance and organisational justice models) on the risk of certified absences from work for diagnosed MHP among workers.

METHOD AND ANALYSIS

A systematic search strategy will be conducted in seven databases: Medline, Embase, CINAHL, Web of Science, PsycInfo, Sociological abstracts and IBSS. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations, a multistep screening process by independent reviewers will lead to study selection. The search strategy was first run in 16 January 2017 and will be updated in October 2018. Only quantitative, prospective studies evaluating the effect of at least one psychosocial work factor from the validated theoretical models on certified absence from work for a diagnosed MHP will be considered for inclusion. Extracted data will be used for quantitative and qualitative evidence synthesis as well as to assess risk of bias and methodological quality. Meta-estimates will be provided for high-quality studies and by each psychosocial work factor, after considering homogeneity and number of studies.

ETHICS AND DISSEMINATION

As this study will be based only on published studies, ethics approval is not required. Given that psychosocial works factors are frequent and modifiable, the results of this systematic review may provide evidence to support prevention strategies that can help to reduce the human social and economic burden associated with medically certified absences from work for an MHP.

PROSPERO REGISTRATION NUMBER

CRD42018091632.

Authors+Show Affiliations

Population Health and Optimal Health Practices Unit, CHU de Québec Research Center, Quebec, Canada. Faculty of Medicine, Laval University, Quebec, Canada.Population Health and Optimal Health Practices Unit, CHU de Québec Research Center, Quebec, Canada.Population Health and Optimal Health Practices Unit, CHU de Québec Research Center, Quebec, Canada.Institut National de Santé Publique du Québec, Quebec, Canada.Population Health and Optimal Health Practices Unit, CHU de Québec Research Center, Quebec, Canada.Population Health and Optimal Health Practices Unit, CHU de Québec Research Center, Quebec, Canada. Faculty of Medicine, Laval University, Quebec, Canada.Department of Psychiatry, Montréal Université, Montréal, Canada.Faculty of Medicine, Laval University, Quebec, Canada.Population Health and Optimal Health Practices Unit, CHU de Québec Research Center, Quebec, Canada. Faculty of Pharmacy, Laval University, Quebec, Canada.Population Health and Optimal Health Practices Unit, CHU de Québec Research Center, Quebec, Canada. Faculty of Medicine, Laval University, Quebec, Canada.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

30282689

Citation

Duchaine, Caroline S., et al. "Effect of Psychosocial Work Factors On the Risk of Certified Absences From Work for a Diagnosed Mental Health Problem: a Protocol of a Systematic Review and Meta-analysis of Prospective Studies." BMJ Open, vol. 8, no. 10, 2018, pp. e025948.
Duchaine CS, Gilbert-Ouimet M, Aubé K, et al. Effect of psychosocial work factors on the risk of certified absences from work for a diagnosed mental health problem: a protocol of a systematic review and meta-analysis of prospective studies. BMJ Open. 2018;8(10):e025948.
Duchaine, C. S., Gilbert-Ouimet, M., Aubé, K., Vezina, M., Ndjaboue, R., Trudel, X., Lesage, A., Moore, L., Laurin, D., & Brisson, C. (2018). Effect of psychosocial work factors on the risk of certified absences from work for a diagnosed mental health problem: a protocol of a systematic review and meta-analysis of prospective studies. BMJ Open, 8(10), e025948. https://doi.org/10.1136/bmjopen-2018-025948
Duchaine CS, et al. Effect of Psychosocial Work Factors On the Risk of Certified Absences From Work for a Diagnosed Mental Health Problem: a Protocol of a Systematic Review and Meta-analysis of Prospective Studies. BMJ Open. 2018 10 2;8(10):e025948. PubMed PMID: 30282689.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Effect of psychosocial work factors on the risk of certified absences from work for a diagnosed mental health problem: a protocol of a systematic review and meta-analysis of prospective studies. AU - Duchaine,Caroline S, AU - Gilbert-Ouimet,Mahee, AU - Aubé,Karine, AU - Vezina,Michel, AU - Ndjaboue,Ruth, AU - Trudel,Xavier, AU - Lesage,Alain, AU - Moore,Lynne, AU - Laurin,Danielle, AU - Brisson,Chantal, Y1 - 2018/10/02/ PY - 2018/10/5/entrez PY - 2018/10/5/pubmed PY - 2019/10/29/medline KW - depression KW - mental health KW - psychosocial work factors KW - sick leave KW - sickness absence KW - work stress SP - e025948 EP - e025948 JF - BMJ open JO - BMJ Open VL - 8 IS - 10 N2 - INTRODUCTION: Mental health problems (MHPs) are frequent and disabling and are the first or second leading cause of certified sickness absences from work in industrialised countries. They are generally long lasting and generate a considerable human and socioeconomic burden. The deleterious effect of adverse psychosocial work factors on MHP has been documented. However, the evidence regarding the effect of these factors on absences from work for an MHP has not been synthesised since 2007. The proposed systematic review aims to synthesise the effect of adverse psychosocial work factors from three validated theoretical models (the demand-control-support, effort-reward-imbalance and organisational justice models) on the risk of certified absences from work for diagnosed MHP among workers. METHOD AND ANALYSIS: A systematic search strategy will be conducted in seven databases: Medline, Embase, CINAHL, Web of Science, PsycInfo, Sociological abstracts and IBSS. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations, a multistep screening process by independent reviewers will lead to study selection. The search strategy was first run in 16 January 2017 and will be updated in October 2018. Only quantitative, prospective studies evaluating the effect of at least one psychosocial work factor from the validated theoretical models on certified absence from work for a diagnosed MHP will be considered for inclusion. Extracted data will be used for quantitative and qualitative evidence synthesis as well as to assess risk of bias and methodological quality. Meta-estimates will be provided for high-quality studies and by each psychosocial work factor, after considering homogeneity and number of studies. ETHICS AND DISSEMINATION: As this study will be based only on published studies, ethics approval is not required. Given that psychosocial works factors are frequent and modifiable, the results of this systematic review may provide evidence to support prevention strategies that can help to reduce the human social and economic burden associated with medically certified absences from work for an MHP. PROSPERO REGISTRATION NUMBER: CRD42018091632. SN - 2044-6055 UR - https://www.unboundmedicine.com/medline/citation/30282689/Effect_of_psychosocial_work_factors_on_the_risk_of_certified_absences_from_work_for_a_diagnosed_mental_health_problem:_a_protocol_of_a_systematic_review_and_meta_analysis_of_prospective_studies_ L2 - http://bmjopen.bmj.com/cgi/pmidlookup?view=long&pmid=30282689 DB - PRIME DP - Unbound Medicine ER -