Urban–rural differences in work disability after an occupational injury

Young, Amanda E.; Wasiak, Radoslaw; Webster, Barbara S.; Shayne, Rebecca G. F.

doi:10.5271/sjweh.1217

Cited by 20 publications

(34 citation statements)

References 20 publications

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“…A review by Crook et al (6), for example, found that women were more likely to have increased disability following low-back injury. However, other studies have shown either the reverse trend or no effect at all for women (8,18,(31)(32)(33)(34)(35)(36). In our study, we found that women were more likely to have partial RTW or non-RTW (and took approximately 2.5 weeks longer to return to work than men), even after adjustment for other confounding factors such as wage and occupation.…”

Section: Sociodemographic Characteristicssupporting

confidence: 39%

Sociodemographic, clinical, and work characteristics associated with return-to-work outcomes following surgery for work-related knee injury

Fan¹,

McLeod²,

Koehoorn³

2010

Scand J Work Environ Health

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Section: Sociodemographic Characteristicssupporting

confidence: 39%

Sociodemographic, clinical, and work characteristics associated with return-to-work outcomes following surgery for work-related knee injury

Fan¹,

McLeod²,

Koehoorn³

2010

Scand J Work Environ Health

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“…Bunn et al ( 2011 ) found that Private sector solid waste collectors had greater odds of compensated first reports of injuries (FROIs) compared to those in the Public sector. Workers’ compensation data has also been used to explore urban-rural differences in work disability duration (Young et al 2008 ; Fan et al 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Workers compensation-reported injuries among security and law enforcement personnel in the private versus public sectors

2018

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BackgroundPrivate and Public security and law enforcement (SLE) sectors perform multiple overlapping job duties.MethodsWorkers’ compensation (WC) SLE first reports of injury (FROI) data (2005–2015) were analyzed to describe injuries, identify differences in awarded WC benefits, and compare the probability of a FROI resulting in awarded benefits between Public and Private SLE. A Pearson’s chi-square test was utilized and reverse selection logistic regression was performed to estimate the odds ratio that a FROI would result in an awarded benefit for Private vs. Public SLE, while adjusting for relevant covariates.ResultsPrivate SLE had higher FROI percentages for younger and for older workers, fall injuries, and back injuries, compared to Public SLE. The adjusted odds that a FROI resulted in an awarded benefit was 1.4 times higher for Private SLE compared to Public SLE; (95% confidence interval [CI] = 1.09,1.69). Middle-aged SLE employee adjusted odds of awarded benefits was 3.3 times (95% CI [1.96, 5.39]) higher compared to younger employees. Adjusted odds of awarded benefits was 3.8 times (95% CI [1.34, 10.61]) higher for gunshots and 1.7 times (95% CI [1.22, 2.39]) higher for fractures/dislocations compared to other nature of injuries. Motor vehicle injury, fall/slip, and strain related FROIs had elevated adjusted odds of awarded benefits compared to other injury causes.ConclusionsResults highlight the importance of injury prevention education and worker safety training for Private and Public SLE sector workers on fall prevention (especially in Private SLE) and strain prevention (especially in Public SLE), as well as motor vehicle safety.

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“…48 Rural areas also have more people employed in higher-risk industries. 8,49 Indigenous Australians, by any measure the country’s most dispossessed people, also have greater representation in rural areas. 48 While a different cultural context, areas with more disposed ethnic minorities in the US has previously shown longer disability durations where there are more dispossessed ethnic minorities.…”

Section: Discussionmentioning

confidence: 99%

“…Rural residents may be more resilient, which may make them more likely to stay at work and off compensation, while urban residents have easier access to legal services, which is known to delay return to work. 8 However, rural industries may be underrepresented in workers’ compensation, which could lead to underestimates in these data. For instance, 99% of the public administration and safety workforce is entitled to compensation, compared to only 64% of agriculture, forestry, and fisheries (50).…”

Section: Discussionmentioning

confidence: 99%

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

Lane

Collie

2020

Preprint

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ObjectivesTo 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.

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Urban–rural differences in work disability after an occupational injury

Cited by 20 publications

References 20 publications

Sociodemographic, clinical, and work characteristics associated with return-to-work outcomes following surgery for work-related knee injury

Sociodemographic, clinical, and work characteristics associated with return-to-work outcomes following surgery for work-related knee injury

Workers compensation-reported injuries among security and law enforcement personnel in the private versus public sectors

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

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