LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Prognostic factors for return to work of employees with common mental disorders: a meta-analysis of cohort studies

Photo from wikipedia

PurposeTo examine prognostic factors for return to work (RTW) of employees with common mental disorders (CMDs).MethodsA systematic review and meta-analysis were performed using data from 18 published cohort studies with… Click to show full abstract

PurposeTo examine prognostic factors for return to work (RTW) of employees with common mental disorders (CMDs).MethodsA systematic review and meta-analysis were performed using data from 18 published cohort studies with 24,579 participants. The studies were identified from MEDLINE/PubMed, PsycINFO, EMBASE, SocINDEX, and Human resource management databases from 1995 to 2016. Two authors independently screened selected studies and assessed the quality of the studies as well as the extracted data.ResultsWe screened 7755 abstracts, from which 211 full text articles were reviewed. Eighteen cohort studies met the inclusion criteria and were included in the analysis. Significant prognostic factors for RTW included age, contact with medical specialists, RTW-self-efficacy, and work ability. The pooled hazard ratios and 95% confidence interval (CI) for age, RTW-SE, contact with medical specialists, and high work ability/low work demands in relation to RTW were 0.77 (95% CI 0.65–0.88), 1.79 (95% CI 1.24–2.33), 0.64 (95% CI 0.49–0.80) and 1.08 (95% CI 1.06–1.11), respectively.ConclusionsSelf-efficacy (SE) is a key factor in the enhancement of work ability and RTW. Improving employee’s SE and collaborating with employers to enhance work ability may help to facilitate RTW. As the RTW process is complex, exploring theoretical frameworks for RTW in individuals with a CMD is also needed.

Keywords: work; factors return; prognostic factors; analysis; cohort studies

Journal Title: Social Psychiatry and Psychiatric Epidemiology
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.