Prevalence and predictors of return to work following a spinal cord injury using a work disability prevention approach: A systematic review and meta-analysis

Purpose Worldwide, spinal cord injuries are associated with diminished participation in the labor market. Inconclusive reporting and differences between workplace settings for individuals with spinal cord injury (SCI) make conceptualizing return to work rates among this population inherently challenging. The objectives of this study are to explore factors associated with return to work (RTW) following an SCI. Moreover, the factors were classified according to the work disability prevention framework. Finally, we conducted a meta-analysis of the prevalence of RTW following an SCI. Methods Original articles were identified through a literature search in four health databases. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for the mapping and identification of records. Included studies contained primary studies that included the nature of the injury, antecedent factors associated with the injury, and study characteristics and RTW outcomes. Exclusion criteria for the studies included if there was no discussion of RTW outcomes, systematic reviews, and meta-analyses. Results A total of 461 full-text articles were assessed for eligibility, and eight studies were included and assessed using the Critical Appraisal Skills Programme checklist, Risk of Bias, and Newcastle–Ottawa Scale. Four studies identified personal system factors, four identified healthcare system factors, two identified compensation system factors, and one identified workplace system factors. Conclusions Attempts to optimize RTW among persons with SCI are inherently difficult due to the diversity of this client population. Findings from the studies included in this systematic review support the utility of interventions for facilitating RTW, such as vocational rehabilitation and workplace accommodations, while simultaneously acknowledging the limitations in identifying specific interventions as facilitatory or inhibitory throughout the process.

Pain in Multiple Sites and Clusters of Cause-Specific Work Disability Development among Midlife Municipal Employees

This study investigates to what extent pain in multiple sites and common risk factors related to work environment, occupational class and health behaviours are associated with cause-specific work disability (WD) development clusters. The study population was derived from the Finnish Helsinki Health Study (n = 2878). Sequence analysis created clusters of similar subsequent cause-specific WD development in an eight-year follow-up period. Cross-tabulations and multinomial logistic regression were used to analyze the extent to which baseline factors, including pain in multiple sites, were associated with the subsequent WD clusters. A solution with five distinct WD clusters was chosen: absence of any WD (40%), low and temporary WD due to various causes (46%), WD due to mental disorders (3%), WD due to musculoskeletal (8%) and WD due to other causes (4%). Half of the employees in the musculoskeletal WD cluster had pain in multiple locations. In the adjusted model the number of pain sites, low occupational class and physical working conditions were linked to the musculoskeletal WD. The identified characteristics of the different WD clusters may help target tailored work disability prevention measures for those at risk.

Geographic variation in work disability burden: Identifying hotspots, coldspots, and associated sociodemographic factors

ABSTRACTObjectivesTo identify geographic hotspots and coldspots of work disability burden and associated sociodemographic factors in Australia.MethodsUsing Australian workers’ compensation and census data, we calculated weeks of compensated time off work per 1,000 labour force at Statistical Area Level 4, an indicator of work disability burden. Records included all claims with at least one day of compensated time off work lodged between 2010 and 2015. Work disability burden was z-transformed by state and mapped across Australia. Statistical Areas ≥ 1.5 standard deviations from the state/territory mean were considered hotspots and coldspots. We tested several sociodemographic factors as predictors of work disability burden.ResultsWork disability burden hotspots were concentrated in lower socioeconomic suburbs and exurbs of state capitals, plus several regional areas. Coldspots were primarily in wealthy central urban and suburban areas. Factors associated with greater work disability burden include socioeconomic disadvantage, rurality, lower labour force participation, higher unemployment, and more people with core activity limitations, aged 65+ years, and aged 65+ but fewer foreign-born.ConclusionsWork disability burden is unequally distributed across Australia and strongly influenced by sociodemographic factors. The findings can guide more efficient allocation of resources for primary and secondary work disability prevention and rehabilitation.

Why does the adverse effect of inappropriate MRI for LBP vary by geographic location? An exploratory analysis

Background Early magnetic resonance imaging (eMRI) for nonspecific low back pain (LBP) not adherent to clinical guidelines is linked with prolonged work disability. Although the prevalence of eMRI for occupational LBP varies substantially among states, it is unknown whether the risk of prolonged disability associated with eMRI varies according to individual and area-level characteristics. The aim was to explore whether the known risk of increased length of disability (LOD) associated with eMRI scanning not adherent to guidelines for occupational LBP varies according to patient and area-level characteristics, and the potential reasons for any observed variations. Methods A retrospective cohort of 59,360 LBP cases from 49 states, filed between 2002 and 2008, and examined LOD as the outcome. LBP cases with at least 1 day of work disability were identified by reviewing indemnity service records and medical bills using a comprehensive list of codes from the International Classification of Diseases, Ninth Edition (ICD-9) indicating LBP or nonspecific back pain, excluding medically complicated cases. Results We found significant between-state variations in the negative impact of eMRI on LOD ranging from 3.4 days in Tennessee to 14.8 days in New Hampshire. Higher negative impact of eMRI on LOD was mainly associated with female gender, state workers’ compensation (WC) policy not limiting initial treating provider choice, higher state orthopedic surgeon density, and lower state MRI facility density. Conclusion State WC policies regulating selection of healthcare provider and structural factors affecting quality of medical care modify the impact of eMRI not adherent to guidelines. Targeted healthcare and work disability prevention interventions may improve work disability outcomes in patients with occupational LBP.