Journal of Occupational Rehabilitation最新文献

Purpose: Employees who experience sickness absence (SA) due to common mental disorders (CMD) are at increased risk of recurrent sickness absence (RSA). This systematic literature review examines the factors at different levels in the work and non-work context that increase or decrease the likelihood of RSA due to CMD. The resulting knowledge enables more accurate identification of employees at risk of RSA.

Methods: We conducted a search in June 2023 using the following databases: PubMed, PsycInfo, Web of Science, Cumulative Index to Nursing & Allied Health Literature (Cinahl), Embase and Business Source Ultimate (BSU). Inclusion criteria were as follows: (self-)employees, CMD, related factors, RSA. The quality of the studies was assessed using the Mixed Methods Appraisal Tool (MMAT). The Individual, Group, Leader, Organisation and Overarching/social context (IGLOO) model were used to cluster the found factors and these factors were graded by evidence grading.

Results: Nineteen quantitative and one qualitative studies of mainly high and some moderate quality were included in this review. A total of 78 factors were found. These factors were grouped according to the IGLOO levels and merged in 17 key factors. After evidence grading, we found that mainly low socioeconomic status (SES) and the type of previous SA (short-term SA and SA due to CMD) are predictors of an increased risk of RSA.

Conclusions: Having a low SES and previous experience of SA (short term, or due to CMD) are factors that predict the chance of RSA, implying the need for prolonged support from occupational health professionals after the employee has returned to work.

Purpose: To develop and validate prediction models for the risk of future work absence and level of presenteeism, in adults seeking primary healthcare with musculoskeletal disorders (MSD).

Methods: Six studies from the West-Midlands/Northwest regions of England, recruiting adults consulting primary care with MSD were included for model development and internal-external cross-validation (IECV). The primary outcome was any work absence within 6 months of their consultation. Secondary outcomes included 6-month presenteeism and 12-month work absence. Ten candidate predictors were included: age; sex; multisite pain; baseline pain score; pain duration; job type; anxiety/depression; comorbidities; absence in the previous 6 months; and baseline presenteeism.

Results: For the 6-month absence model, 2179 participants (215 absences) were available across five studies. Calibration was promising, although varied across studies, with a pooled calibration slope of 0.93 (95% CI: 0.41-1.46) on IECV. On average, the model discriminated well between those with work absence within 6 months, and those without (IECV-pooled C-statistic 0.76, 95% CI: 0.66-0.86). The 6-month presenteeism model, while well calibrated on average, showed some individual-level variation in predictive accuracy, and the 12-month absence model was poorly calibrated due to the small available size for model development.

Conclusions: The developed models predict 6-month work absence and presenteeism with reasonable accuracy, on average, in adults consulting with MSD. The model to predict 12-month absence was poorly calibrated and is not yet ready for use in practice. This information may support shared decision-making and targeting occupational health interventions at those with a higher risk of absence or presenteeism in the 6 months following consultation. Further external validation is needed before the models' use can be recommended or their impact on patients can be fully assessed.

Background: The objectives of this longitudinal study were to understand how comorbid rheumatic disease and depression symptoms were associated with at-work productivity among young adults, and to examine whether workplace support modified this association.

Methods: Seventy-six Canadian young adults who were employed and living with a rheumatic disease were surveyed three times over 27 months. Morbidity was defined by whether participants reported severe rheumatic disease symptoms and/or depressive symptoms. Participants were asked about presenteeism, absenteeism, and whether the workplace support needs (accommodation and benefit availability and use) were met. Generalized estimating equations were used to address study objectives.

Results: Seventeen participants experienced neither severe rheumatic disease nor depressive symptoms (no morbidity), 42 participants experienced either severe rheumatic disease or depressive symptoms (single morbidity), and 17 participants reported comorbidity at baseline. Participants with comorbidity reported greater presenteeism scores and were most likely to report absenteeism, compared to the other two morbidity levels. Having workplace support needs met was associated with decreased presenteeism over the 27-month period among participants with no and a single morbidity. Conversely, unmet support need was associated with greater presenteeism for participants with comorbidity. Having workplace support needs met did not modify the association between morbidity and absenteeism.

Conclusion: Comorbid rheumatic disease and depression burden reduce productivity among young adults. A supportive work environment has the potential to address at-work productivity challenges. Additional research is needed to understand how workplace supports coupled with clinical interventions may tackle challenges at work for young adults living with rheumatic disease and depression.

Purpose: This study assessed the effectiveness of Individual Placement and Support (IPS), Participatory Workplace Intervention (PWI), and IPS + PWI on work participation and health of people with work disabilities.

Methods: A randomised controlled 2 × 2 factorial trial with 120 clients and an 18-month follow-up was performed. Differences between IPS and no-IPS and between PWI and no-PWI were assessed using log-rank tests and Cox proportional hazards models.

Results: In the IPS group, restricted mean survival time (RMST) for sustainable paid employment was 352 days, compared to 394 in the no-IPS group (HR = 1.47, 95% CI = 0.81-2.63). In the PWI group the RMST was 378 days, compared to 367 in the no-PWI group (HR = 0.89, 95% CI = 0.48-1.64). For the secondary outcome 'starting any paid employment, a trial placement, or education' RMST was significantly lower for the IPS group (222 days) than for the no-IPS group (335 days; HR = 1.85, 95% CI = 1.01-3.42). Mental health was significantly lower (worse) in the PWI group (difference -4.07, 95% CI = -7.93 to -0.22) than in the no-PWI group. For all other secondary outcomes, no statistically significant differences were found.

Conclusion: No statistically significant differences were observed in the duration until starting sustainable employment between IPS and no-IPS, and between PWI and no-PWI. The duration until starting any paid employment, a trial placement, or education was shorter in the IPS group than in the no-IPS group, but further research should explore whether this also increases sustainable employment in the longer term.

Purpose: This study is a process evaluation of the use of Individual Placement and Support (IPS) and Participatory Workplace Intervention (PWI) to increase the work participation of people with work disabilities. We ran the evaluation alongside a randomized controlled trial (RCT), to investigate whether and to what extent IPS and PWI were executed according to protocol.

Methods: The study population consisted of clients with work disabilities, and their job coaches who were employed by the municipality of a large city in the Netherlands. Data were collected between September 2019 and November 2022 using registration forms, accompanied by researchers' notes and logbooks.

Results: For IPS the dose delivered was reasonable and the IPS fidelity measurement score was fair. The job search focused on paid work for almost all clients and was based on their wishes as indicated in the protocol, but integration of employment services with (health) care was often lacking. A minority of the clients who were assigned to PWI received the intervention, often because the client did not start work within the follow-up period and a workplace was a requirement to apply the intervention.

Conclusion: The results of this study show that IPS was executed reasonably and with a fair fidelity, which indicated implementation was sufficient to find an effect on work participation in the RCT. PWI was barely realized in practice and no conclusions regarding the fidelity could be drawn. We therefore conclude that we cannot expect PWI to have any effect on work participation in the RCT.

Objectives: Recent research has emphasized that return to work (RTW) is a dynamic, gradual and often uneven process with a great degree of individual variation. This study aimed to identify RTW trajectories of Swedish employees on sick-leave due to common mental disorders (CMDs). The second aim was to explore which demographic, employment, health-related and work environment characteristics predicted RTW trajectory membership.

Methods: Data comes from two 2-armed cluster-randomized controlled trials (RCT) with a 12-month follow-up. A participative problem-solving intervention aimed to reduce sick-leave was compared to care as usual (CAU) involving any kind of work-directed interventions. Participants on sick-leave due to CMDs at baseline (N = 197) formed the study sample. Latent growth mixture modeling and logistic regression were the main analytical approaches.

Results: Five distinct RTW trajectories of Swedish employees were identified: Early RTW (N = 65), Delayed RTW (N = 50), Late RTW (N = 39), Struggling RTW (N = 21) and No RTW (N = 22). RTW trajectories differed consistently with regard to previous sick-leave duration and social support at work. More unique predictors of RTW trajectories included gender, rewards at work, work performance impairment due to health problems, home-to-work interference and stress-related exhaustion disorder.

Conclusion: The study may have important clinical implications for identifying patients belonging to a particular RTW trajectory. Knowledge on the modifiable work environment factors that differentiated between the RTW trajectories could be useful for designing effective workplace interventions, tailored to particular needs of employees with CMDs. However, in a first step, the results need to be replicated.

Purpose: In a new Finnish Coordinated Return to Work (CRTW) model, patients are referred to occupational health care after hip or knee arthroplasty. This study evaluated the CRTW model's effect on return to work (RTW), activities used in occupational health care and in the workplace, and the patient- and work-related factors affecting early RTW.

Methods: 209 participants with occupational health care service underwent primary hip (THA) or total/unicondylar knee (KJA) arthroplasty and completed self-reported questionnaires after arthroplasty and at time of RTW. Factors affecting RTW, and the roles of occupational health care and the workplace in RTW were evaluated. Time to RTW was determined as days between the arthroplasty and RTW.

Results: Mean time to RTW was 69 days after THA and 87 days after KJA. For easing RTW, work arrangements were made for 56% of the participants. The most utilized adjustments of work were enabling remote work and arranging limitations in work tasks. Participants with earlier RTW had lower physical workload, higher professional status and motivation to work, less pre-arthroplasty sick leave, and more positive personal expectations about the time to RTW compared to participants with later RTW (p < 0.001 for all). The linear regression and dominance analyses showed participants' own expectations and pre-arthroplasty sick leave as the strongest factors affecting time to RTW.

Conclusions: The CRTW model seems to shorten time to RTW after THA and KJA. Occupational health care and workplace play important roles in supporting RTW. Patients' own expectations should be noted when giving pre-arthroplasty information.

Background: The Netherlands faces 60% prevalence of chronic conditions by 2040, impacting societal participation and quality of life. Current clinical care inadequately addresses these consequences, and most hospitals do not integrate occupational health in their care.

Objectives: To develop a generic person- and work-oriented medical care model (WMCM) based on real life experiences with work-oriented care and supporting the chronically ill in active societal participation.

Methods: A qualitative research project with a participative approach in one hospital (November 2019 until March 2020). In an expert meeting, a schematic representation of a work-oriented care model was developed. Subsequent discussion rounds, with professionals from different patient groups, iteratively refined the model to a WMCM.

Results: Consensus was reached after seven rounds of discussion, defining the model's core elements (1) a combination of biomedical and biopsychosocial approaches, (2) involvement of a clinical occupational physician in the treatment team, (3) a coordinating role for nursing specialists, and (4) incorporation of a work-oriented intervention plan (WoIP) into the treatment plan. Advocating early attention to societal participation, the model emphasises the WoIP and consensus on monitoring indicators. The final goal is a sustainable return to societal participation, considering both quality of life and work.

Conclusion: It is feasible to develop a generic person- and work-oriented care model for patients with chronic illness within a hospital care setting. Collaboration between healthcare professionals and a specialised occupational physician, with a central role for nurses, is deemed crucial.

Purpose: Many countries have developed clinical decision-making support tools, such as the smart work injury management (SWIM) system in Hong Kong, to predict rehabilitation paths and address global issues related to work injury disability. This study aims to evaluate the accuracy of SWIM by comparing its predictions on real work injury cases to those made by human case managers, specifically with regard to the duration of sick leave and the percentage of permanent disability.

Methods: The study analyzed a total of 442 work injury cases covering the period from 2012 to 2020, dividing them into non-litigated and litigated cases. The Kruskal-Wallis post hoc test with Bonferroni adjustment was used to evaluate the differences between the actual data, the SWIM predictions, and the estimations made by three case managers. The intra-class correlation coefficient was used to assess the inter-rater reliability of the case managers.

Results: The study discovered that the predictions made by the SWIM model and a case manager possessing approximately 4 years of experience in case management exhibited moderate reliability in non-litigated cases. Nevertheless, there was no resemblance between SWIM's predictions regarding the percentage of permanent disability and those made by case managers.

Conclusion: The findings indicate that SWIM is capable of replicating the sick leave estimations made by a case manager with an estimated 4 years of case management experience, albeit with limitations in generalizability owing to the small sample size of case managers involved in the study.

Implications: These findings represent a significant advancement in enhancing the accuracy of CDMS for work injury cases in Hong Kong, signaling progress in the field.

Purpose: The nature and cumulative occupational demands imposed on families of public safety personnel (PSP) are substantial, in many cases non-negotiable, and distinct from the general population accentuating risk factors for family well-being. Despite this reality, the contributions of PSP families are not well understood, and a conceptual framework is needed. The aim of this paper is to summarize contextual factors (lifestyle dimensions) that shape the lives of PSP families; factors supported in the existing, albeit limited, body of research.

Methods: Grounded in the interpretive/constructivist paradigm, a synthesis was central to understanding the lived experiences of PSP families. An interdisciplinary research team engaged in an iterative process of framework analysis to capture the variability and complexity of PSP family life and distilled the overarching lifestyle dimensions.

Results: Three lifestyle dimensions-logistics, risks, and identities-emerged from contextual factors and represent distinct aspects of PSP family life. PSP families play a crucial role in that their capacity to accommodate the lifestyle dimensions (i.e., logistics, risks, and identities), without which the PSP could not meet the demands of the profession.

Conclusion: Promoting awareness of these dimensions and their consequent demands underscores the cumulative demands that put PSP families at risk. Responses from governments, public safety organizations, and communities are required to help PSP families manage non-negotiable elements of the public safety occupation that spill over into family life over which they have no control.