scholarly journals Supervisory behaviour as a predictor of return to work in employees absent from work due to mental health problems

2004 ◽  
Vol 61 (10) ◽  
pp. 817-823 ◽  
Author(s):  
K Nieuwenhuijsen
Keyword(s):  
Mental Health ◽  
Return To Work ◽  
Mental Health Problems ◽  
Health Problems

Changes in rehabilitation actors’ mental health literacy and support to employers: An evaluation of the SEAM intervention

Work ◽  
2021 ◽  
pp. 1-9
Author(s):  
Annika Lexén ◽  
Maria Emmelin ◽  
Lars Hansson ◽  
Bengt Svensson ◽  
Susann Porter ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Literacy ◽  
Return To Work ◽  
Mental Health Literacy ◽  
Mental Health Problems ◽  
Health Problems ◽  
Service Users ◽  
Rehabilitation Professionals ◽  
Knowledge And Beliefs ◽  
The Impact

BACKGROUND: Lack of mental health literacy among rehabilitation professionals and employers in the return-to-work of persons with mental health problems resulted in the development of a three-day group training program, the Support to Employers from rehabilitation Actors about Mental health (SEAM) intervention. OBJECTIVE: To evaluate the impact of SEAM on rehabilitation professionals’ knowledge and beliefs, attitudes, and supporting behaviors towards people with mental health problems and employers as part of the return-to-work process. METHODS: In this longitudinal study, 94 rehabilitation professionals were included. Data were collected prior to (T1), immediately after (T2) and 6 months after SEAM training (T3) using knowledge and attitude scales and a questionnaire on supporting behaviors. SEAM includes training in Mental Health First Aid, presentations and discussions on current research on work and mental health, and strategies and communication guidelines to use when meeting service users and employers as part of the return-to-work of persons with mental health problems. SEAM also includes a homepage with targeted employer information. Data were analyzed using non-parametric statistics. RESULTS: SEAM significantly increased rehabilitation professionals’ knowledge of mental health (T1-T2: z = –2.037, p = 0.042; T2-T3: z = –5.093, p = 0.001), and improved their attitudes towards persons with mental health problems (T1-T2: z = 4.984, p = 0.001). Professionals (50–60%) also estimated that they had increased their use of supporting strategies towards service users and employers. CONCLUSIONS: The study suggests that SEAM can increase mental health literacy among rehabilitation professionals and lead to a greater focus on service users’ resources and work ability, as well as on employers’ support needs.

scholarly journals Perspectives of unemployed workers with mental health problems: barriers to and solutions for return to work

2016 ◽  
Vol 40 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Selwin S. Audhoe ◽  
Karen Nieuwenhuijsen ◽  
Jan L. Hoving ◽  
Judith K. Sluiter ◽  
Monique H. W. Frings-Dresen
Keyword(s):  
Mental Health ◽  
Return To Work ◽  
Mental Health Problems ◽  
Health Problems

Effectiveness of a Coordinated and Tailored Return-to-Work Intervention for Sickness Absence Beneficiaries with Mental Health Problems

2013 ◽  
Vol 23 (4) ◽  
pp. 621-630 ◽  
Author(s):  
Marie H. T. Martin ◽  
Maj Britt D. Nielsen ◽  
Ida E. H. Madsen ◽  
Signe M. A. Petersen ◽  
Theis Lange ◽  
...  
Keyword(s):  
Mental Health ◽  
Return To Work ◽  
Sickness Absence ◽  
Mental Health Problems ◽  
Health Problems ◽  
Work Intervention

scholarly journals Identifying Return to Work Self-Efficacy Trajectories in Employees with Mental Health Problems

2021 ◽  
Author(s):  
Lena Horn ◽  
Maitta Spronken ◽  
Evelien P. M. Brouwers ◽  
Renée S. M. de Reuver ◽  
Margot C. W. Joosen
Keyword(s):  
Mental Health ◽  
Return To Work ◽  
Self Efficacy ◽  
Latent Class ◽  
Mental Health Problems ◽  
Strong Predictor ◽  
Health Problems ◽  
Moderate Increase ◽  
Work Characteristics ◽  
Class 1

AbstractPurpose Return to work self-efficacy (RTW-SE) is a strong predictor of return to work (RTW) in employees with mental health problems (MHPs). However, little is known about the development of RTW-SE during the RTW process. In this study, we aimed to identify RTW-SE trajectories in the year following sick leave in employees with MHPs and provided a description of the trajectories in terms of personal and work characteristics, and RTW status. Methods This multi-wave study included 111 employees with MHPs. RTW-SE was measured at baseline, and at 3, 6, and 12 months follow-up with the RTW-SE scale for employees with MHPs. Results Latent class growth analysis revealed six trajectories. In three trajectories employees had increasing RTW-SE scores, namely (class 1) low start, moderate increase, (class 3) moderate start, small increase and (class 5) moderate start, steep increase. The other trajectories were defined by (class 2) persistently high, (class 6) persistently low, and (class 4) decreasing RTW-SE scores over time. Employees across the various trajectories differed significantly with respect to RTW status, and personal and work characteristics measured at baseline, including age, gender, and type of MHP. Less favorable trajectories (class 4 and 6) were characterized by higher age, a higher prevalence of anxiety disorder and lower RTW rates. The most favorable trajectory (class 2) was characterized by a higher proportion of stress-related disorders and less major depression diagnoses. Conclusions Large heterogeneity exists in terms of RTW-SE trajectories in employees with MHPs and significant differences were found across the trajectories regarding personal and work characteristics, and RTW status. Insights into RTW-SE trajectories and their attributes are important to advance more effective and personalized RTW treatment for employees with MHPs.

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