2021
DOI: 10.1002/ajim.23253
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Geographic variation in work disability burden: Identifying hotspots, coldspots, and associated sociodemographic factors

Abstract: Objectives To identify geographic hotspots and coldspots of work disability burden and their associated sociodemographic factors in Australia. Methods Using Australian workers' compensation and census data, we calculated weeks of compensated time off work per 1000 labor force, an indicator of work disability burden, at Statistical Area Level 4, the smallest level of labor force data produced by the Australian Bureau of Statistics. Records included all claims with at least 1 day of compensated time off work lod… Show more

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Cited by 6 publications
(11 citation statements)
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“…14 An Australian study using multijurisdictional workers' compensation claims data aggregated to statistical area units, also found that increased area unemployment rates were associated with increased compensated disability burden. 15 Similarly, the proportion of industrial employment is positively associated with increased compensated disability burden. 15 A difference between this study and the aforementioned studies is that in this study both regional-level variables had nonlinear associations with work disability days.…”
Section: Random-effect Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…14 An Australian study using multijurisdictional workers' compensation claims data aggregated to statistical area units, also found that increased area unemployment rates were associated with increased compensated disability burden. 15 Similarly, the proportion of industrial employment is positively associated with increased compensated disability burden. 15 A difference between this study and the aforementioned studies is that in this study both regional-level variables had nonlinear associations with work disability days.…”
Section: Random-effect Resultsmentioning
confidence: 99%
“…15 Similarly, the proportion of industrial employment is positively associated with increased compensated disability burden. 15 A difference between this study and the aforementioned studies is that in this study both regional-level variables had nonlinear associations with work disability days.…”
Section: Random-effect Resultsmentioning
confidence: 99%
See 3 more Smart Citations