ArticleJournal of occupational rehabilitation2014
Prognostic factors for return to work, sickness benefits, and transitions between these states: a 4-year follow-up after work-related rehabilitation.
Article in Journal of occupational rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Prognostic factors for return to work of employees with common mental disorders: a meta-analysis of cohort studies.Social psychiatry and psychiatric epidemiology · 2017Pooled it
- Randomized Controlled Trial of Adding Telephone Follow-Up to an Occupational Rehabilitation Program to Increase Work Participation.Journal of occupational rehabilitation · 2018Trial
- Inpatient or Outpatient Occupational Rehabilitation - What Works Best for Whom? A Non-randomized Clinical Trial.Journal of occupational rehabilitation · 2026Article
- Dutch Dataset Vocational Rehabilitation for Chronic Musculoskeletal Pain: Baseline Patients' Characteristics and Program Eligibility.Journal of occupational rehabilitation · 2025Article
- Adverse childhood experiences, subsequent negative life events, and their impact on health in occupational rehabilitation patients: a mixed-methods study.Frontiers in rehabilitation sciences · 2024Article
- Sickness absence transitions among Swedish twins with back, neck or shoulder pain and common mental disorders applying a multi-state approach.Scientific reports · 2023Article
- Role of social benefits for future long-term sickness absence, disability pension and unemployment among individuals on sickness absence due to mental diagnoses: a competing risk approach.International archives of occupational and environmental health · 2022Article
- Predictive validity of general work ability assessments in the context of sickness insurance.Journal of rehabilitation medicine · 2021Article
- Vocational Rehabilitation with or without Work Module for Patients with Chronic Musculoskeletal Pain and Sick Leave from Work: Longitudinal Impact on Work Participation.Journal of occupational rehabilitation · 2021Article
- Predicting return to work after long-term sickness absence with subjective health complaints: a prospective cohort study.BMC public health · 2020Article
- Self-reported health problems in a health risk appraisal predict permanent work disability: a prospective cohort study of 22,023 employees from different sectors in Finland with up to 6-year follow-up.International archives of occupational and environmental health · 2020Article
- Metacognitive Beliefs as Predictors of Return to Work After Intensive Return-to-Work Rehabilitation in Patients With Chronic Pain, Chronic Fatigue and Common Psychological Disorders: Results From a Prospective Trial.Frontiers in psychology · 2020Article
- Do individual and work-related factors differentiate work participation trajectories before and after vocational rehabilitation?PloS one · 2019Article
- How do occupational rehabilitation clinicians approach participants on long-term sick leave in order to facilitate return to work? A focus group study.BMC health services research · 2017Article
- Development of the Return-to-Work Obstacles and Self-Efficacy Scale (ROSES) and Validation with Workers Suffering from a Common Mental Disorder or Musculoskeletal Disorder.Journal of occupational rehabilitation · 2017Article
- Long-term sick leave and the impact of a graded return-to-work program: evidence from Germany.The European journal of health economics : HEPAC : health economics in prevention and care · 2016Article
- Subjective health complaints, functional ability, fear avoidance beliefs, and days on sickness benefits after work rehabilitation - a mediation model.BMC musculoskeletal disorders · 2016Article
- Factors associated with sickness certification of injured workers by General Practitioners in Victoria, Australia.BMC public health · 2016Article
- Causal inference in multi-state models-sickness absence and work for 1145 participants after work rehabilitation.BMC public health · 2015Article
- Recovery of Work-Related Stress: Complaint Reduction and Work-Resumption are Relatively Independent Processes.Journal of occupational rehabilitation · 2015Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to examine if age, gender, medical diagnosis, occupation, and previous sick leave predicted different probabilities for being at work and for registered sickness benefits, and differences in the transitions between any of these states, for individuals that had participated in an interdisciplinary work-related rehabilitation program.
methods584 individuals on long-term sickness benefits (mean 9.3 months, SD = 3.4) were followed with official register data over a 4-year period after a rehabilitation program. 66 % were female, and mean age was 44 years (SD = 9.3). The majority had a mental (47 %) or a musculoskeletal (46 %) diagnosis. 7 % had other diagnoses. Proportional hazards regression models were used to analyze prognostic factors for the probability of being on, and the intensity of transitions between, any of the following seven states during follow-up; working, partial sick leave, full sick leave, medical rehabilitation, vocational rehabilitation, partial disability pension (DP), and full DP.
resultsIn a fully adjusted model; women, those with diagnoses other than mental and musculoskeletal, blue-collar workers, and those with previous long-term sick leave, had a lower probability for being at work and a higher probability for full DP during follow-up. DP was also associated with high age. Mental diagnoses gave higher probability for being on full sick leave, but not for transitions to full sick leave. Regression models based on transition intensities showed that risk factors for entering a given state (work or receiving sickness benefits) were slightly different from risk factors for leaving the same state.
conclusionsThe probabilities for working and for receiving sickness benefits and DP were dependent on gender, diagnoses, type of work and previous history of sick leave, as expected. The use of novel statistical methods to analyze factors predicting transition intensities have improved our understanding of how the processes to and from work, and to and from sickness benefits may differ between groups. Further research is required to understand more about differences in prognosis for return to work after intensive work-related rehabilitation efforts.
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