MONASH MEDICINE, NURSING & HEALTH SCIENCES Estimating the burden of work injury in Australia using a comprehensive national injury claims database. Alex Collie, Shannon Gray & Tyler Lane Insurance, Work and Health Group, Faculty of Medicine Nursing and Health Sciences, Monash University
ACKNOWLEDGMENTS Funding Research findings contained in this presentation have been supported by project funds from WorkSafe Victoria through the Institute for Safety Compensation and Recovery Research; and by SafeWork Australia. Data Provision Some data contained in this presentation is provided for use in the COMPARE project via a data sharing agreement with SafeWork Australia and the following workers compensation authorities: WorkSafe Victoria, WorkCover Tasmania, WorkCover WA, ReturnToWork SA, State Insurance Regulatory Authority of NSW, Department of Treasury Qld Govt, ACT Government, NT WorkSafe and Comcare. 2
WORK INJURY & ILLNESS IN AUSTRALIA, 2014 • Australian labour force = 11.5 million workers • Nine major workers’ compensation schemes = 10.8 million workers (SafeWork Australia, 2015) • Self-reported work-related injury = 532,000 (est) (Australian Bureau of Statistics, 2015) • Accepted workers’ compensation claims = ~242,000 (Lane T, et al, 2016) • Annual cost estimated at $61.1B or 4.1% of GDP (SafeWork Australia, 2015) 3
TRENDS IN WORK INJURY IN AUSTRALIA • The incidence of self-reported injuries and workers compensation claims has been declining: e.g., 63.6 self reported injuries per 1000 workers in 2006 to 42.6 in 2014 • But the duration of working time lost to injury has been increasing, at least for some conditions: e.g., median duration of time loss increased by 4.8% between 2009 & 2012 • So how effective are our prevention programs? • Is the population burden of work injury and illness in Australia changing? 4 Lane TJ, Collie A, Hassani-Mahmooei B. Work injury & illness in Australia, 2004 to 2014. http://www.iscrr.com.au/__data/assets/pdf_file/0020/540830/118_Work-injury-in-Australia-Review-2004-2014.pdf
OBJECTIVE • To characterise the burden of work disability in Australia over time by age, gender and injury type. 5
DATA & METHOD Number of cases Percentage of DATABASE cases • National Dataset of Compensation Based Statistics GENDER Male 1123168 64.9 • >90% coverage of labour force Female 607124 35.1 AGE BAND INCLUSION CRITERIA 15-24 years 282152 16.3 • Accepted workers’ compensation claims from the nine major 25-34 years 375202 21.7 Australian jurisdictions 35-44 years 418480 24.2 • Nine year time period (2004 to 2012) 45-54 years 420112 24.3 • Age 18 to 65 years at time of injury 55+ years 232944 13.5 Missing 1412 0.1 EXCLUSION CRITERIA CONDITION • Cases with missing injury, gender or age data Fractures 127136 7.3 • Claims without time loss (medical expense only) Musculoskeletal 982644 56.8 Neurological 30993 1.8 BURDEN CALCULATION Mental health conditions 73928 4.3 • (number of injuries x mean duration of time loss) / number of Minor trauma 441515 25.5 covered workers Other diseases 74086 4.3 • weeks lost per covered worker TOTAL 1730302 100.0 6
SEX Median weeks time lost per claim Accepted injury claims per 1000 workers 35.0 3.0 30.0 2.5 25.0 2.0 20.0 1.5 15.0 Number of claims 1.0 10.0 0.5 5.0 0.0 0.0 2004 2005 2006 2007 2008 2009 2010 2011 2012 2004 2005 2006 2007 2008 2009 2010 2011 2012 Duration off work Female Male Female Male Total time loss Total weeks time loss per 1000 workers % change in outcome 2004 to 2012 350.0 60.0 50.0 300.0 40.0 30.0 250.0 20.0 200.0 10.0 0.0 150.0 -10.0 100.0 -20.0 -30.0 50.0 -40.0 0.0 Claims per 1000 Median weeks time Weeks time loss per 2004 2005 2006 2007 2008 2009 2010 2011 2012 workers loss per claim 1000 workers Female Male Female Male 7
AGE Accepted injury claims per 1000 workers Median weeks time loss per claim 30.0 4.5 4.0 25.0 3.5 20.0 3.0 2.5 15.0 2.0 Number of claims 10.0 1.5 1.0 5.0 0.5 0.0 0.0 2004 2005 2006 2007 2008 2009 2010 2011 2012 2004 2005 2006 2007 2008 2009 2010 2011 2012 Duration off work 15-24 24-34 35-44 45-54 55+ 15-24 24-34 35-44 45-54 55+ Total time loss Total week time loss per 1000 workers % change in outcome 2004 to 2012 (young) 400.0 60.0 50.0 350.0 40.0 300.0 30.0 Total time loss 20.0 250.0 10.0 (older workers) 200.0 0.0 150.0 -10.0 -20.0 100.0 -30.0 50.0 -40.0 0.0 Claims per 1000 Median weeks time Weeks time loss per 2004 2005 2006 2007 2008 2009 2010 2011 2012 workers loss per claim 1000 workers 15-24 24-34 35-44 45-54 55+ 15 to 24 24 to 34 35 to 44 45 to 54 55 + 8
INJURY / CONDITION Claims per 1000 workers Median weeks time loss per claim 16.0 16.0 14.0 14.0 12.0 12.0 10.0 10.0 8.0 8.0 Number of claims 6.0 6.0 4.0 4.0 2.0 2.0 0.0 0.0 Duration off work 2004 2005 2006 2007 2008 2009 2010 2011 2012 2004 2005 2006 2007 2008 2009 2010 2011 2012 Fractures MSD Mental Health Minor Trauma Fractures MSD Mental Health Minor Trauma Total time loss Total weeks time loss per 1000 workers % change in outcome 2004 to 2012 (minor trauma) 180.0 100.0 160.0 80.0 140.0 Total time loss 60.0 120.0 100.0 40.0 (mental health) 80.0 20.0 60.0 40.0 0.0 Claims per 1000 Median weeks time Weeks time loss per 20.0 -20.0 workers loss per claim 1000 workers 0.0 2004 2005 2006 2007 2008 2009 2010 2011 2012 -40.0 Fractures MSD Mental Health Minor Trauma Fractures MSD Mental Health Minor Trauma 9
OCCUPATION Dr Shannon Gray’s presentation on first responder occupations at 11:10am 10
SUMMARY & CONCLUSIONS • The incidence of compensable work injury has been declining. • The duration of time loss per case has been increasing. • Overall population burden of work disability has remained stable. • Population burden varies by gender, age and condition. • Primary prevention = • Secondary prevention = • Future prevention efforts should focus on reducing both the incidence and the severity of work-related conditions. • In the Australian context, this means that both OH&S and workers compensation systems need to focus on preventing disability. 11
MAKE CONTACT US Professor Alex Collie Insurance, Work and Health Group Faculty of Medicine Nursing and Health Sciences Tel: +61 3 9903 0525 Email: alex.collie@monash.edu 12
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