Literature DB >> 28772111

Prognostic factors for return to work after depression-related work disability: A systematic review and meta-analysis.

Jenni Ervasti1, Matti Joensuu2, Jaana Pentti2, Tuula Oksanen2, Kirsi Ahola2, Jussi Vahtera3, Mika Kivimäki4, Marianna Virtanen2.   

Abstract

Knowledge about factors influencing return to work (RTW) after depression-related absence is highly relevant, but the evidence is scattered. We performed a systematic search of PubMed and Embase databases up to February 1, 2016 to retrieve cohort studies on the association between various predictive factors and return to work among employees with depression for review and meta-analysis. We also analyzed unpublished data from the Finnish Public Sector study. Most-adjusted estimates were pooled using fixed effects meta-analysis. Eleven published studies fulfilled the eligibility criteria, representing 22 358 person-observations from five different countries. With the additional unpublished data from the 14 101 person-observations from the Finnish Public Sector study, the total number of person-observations was 36 459. The pooled estimates were derived from 2 to 5 studies, with the number of observations ranging from 260 to 26 348. Older age (pooled relative risk [RR] 0.95; 95% confidence interval [CI] 0.84-0.87), somatic comorbidity (RR = 0.80, 95% CI 0.77-0.83), psychiatric comorbidity (RR = 0.86, 95% CI 0.83-0.88) and more severe depression (RR = 0.96, 95% CI 0.94-0.98) were associated with a lower rate of return to work, and personality trait conscientiousness with higher (RR = 1.06, 95% CI 1.02-1.10) return to work. While older age and clinical factors predicted slower return, significant heterogeneity was observed between the studies. There is a dearth of observational studies on the predictors of RTW after depression. Future research should pay attention to quality aspects and particularly focus on the role of workplace and labor market factors as well as individual and clinical characteristics on RTW.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical factors; Cohort studies; Psychosocial work environment; Sickness absence; Sociodemographic factors

Mesh:

Year:  2017        PMID: 28772111     DOI: 10.1016/j.jpsychires.2017.07.024

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  13 in total

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5.  Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques.

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6.  Healthy Minds: Group Cognitive-Behavioral Intervention for Sustainable Return to Work After a Sick Leave Due to Depression.

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7.  Interventions to improve return to work in depressed people.

Authors:  Karen Nieuwenhuijsen; Jos H Verbeek; Angela Neumeyer-Gromen; Arco C Verhoeven; Ute Bültmann; Babs Faber
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8.  Age, health and other factors associated with return to work for those engaging with a welfare-to-work initiative: a cohort study of administrative data from the UK's Work Programme.

Authors:  Judith Brown; Srinivasa Vittal Katikireddi; Alastair H Leyland; Ronald W McQuaid; John Frank; Ewan B Macdonald
Journal:  BMJ Open       Date:  2018-10-27       Impact factor: 2.692

9.  Returning to work after sickness absence due to common mental disorders: study design and baseline findings from an 18 months mixed methods follow-up study in Germany.

Authors:  Alexandra Sikora; Gundolf Schneider; Ralf Stegmann; Uta Wegewitz
Journal:  BMC Public Health       Date:  2019-12-10       Impact factor: 3.295

Review 10.  Multimorbidity and Its Impact on Workers: A Review of Longitudinal Studies.

Authors:  Giorgione G Cabral; Ana C Dantas de Souza; Isabelle R Barbosa; Javier Jerez-Roig; Dyego L B Souza
Journal:  Saf Health Work       Date:  2019-08-31
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