1. Population burden of injury Associate Professor Belinda Gabbe School of Public Health and Preventive Medicine Monash University

2.  Improving measure of population burden has been on the ICE agenda for recent meetings  Limitations to the GBD approach to measuring population injury burden  Maximising use of existing knowledge and data seen as a priority Introduction

3. 1.Disability weights a.Panel vs. empirical data b.Children c.Proxy d.LMIC 2.Combining data from different studies 3.Use of ED and inpatient data 4.Injury grouping/classification 5.ICD-11 Key issues

4.  ICE driven manuscript in 2012 edition of Epidemiological Reviews  Polinder et al. Measuring the population burden of fatal and non-fatal injury. Epidemiol Rev 2012;34:17-31  Major competitive grant  NHMRC Project Grant 2012-2013 Recent developments

5. Improving the measurement of non-fatal injury burden – Validating the GBD methods NHMRC Project Grant 2012-2013

6. Investigative team Chief Investigators Belinda Gabbe (Monash University), Ronan Lyons (Swansea University), James Harrison (Flinders University), Fred Rivara (University of Washington), Shanthi Ameratunga (University of Auckland), Suzanne Polinder (Erasmus MC), Sarah Derrett (University of Otago), Damien Jolley (Monash University) Associate Investigators Kavi Bhalla (Johns Hopkins), Theo Vos (University of Queensland), Clare Bradley (Flinders University), Juanita Haagsma (Erasmus MC), John Langley (University of Otago), Gabrielle Davie (University of Otago) Project Officer Pam Simpson (Monash University)

7. Project aims i.Evaluate the influence of existing and alternative classifications of injuries on disability burden estimates. ii.Identify functional outcome and recovery patterns of multiple injuries and the impact on disability outcomes. iii.Evaluate methods for integrating the functional outcome associated with multiple injuries into burden of injury measurements. iv.Establish the duration of disability, and the percentage with persisting disability, for injury groupings based on empirical data, in order to validate the injury outcome estimates on which DALY values from the original and current GBD projects depend. v.Establish the comparability of the burden of non-fatal injury (Years Lived with Disability) estimates based on different methodologies (i.e. different definitions of health states, disability weights, and measures of the duration of injuries). vi.Develop alternative metrics for the measurement of population injury burden

8. StudySettingInclusion criteriaParticipants Follow-up time points Outcome measures NSCOTUS At least one AIS injury severity>2 18-84 years N=3958 3 and 12- months 30/90/365 day mortality GOS, SF-36, SF-12, SF-6D (3 and 12-months) FCI, MFA, SIP cognitive, PCLC and CESD (12-months) VSTRAustralia ISS>15, ICU admission or urgent surgery All ages N=8213 6, 12 and 24- months GOSE, SF-12, SF-6D, EQ-5D, PedsQL VOTORAustralia Orthopaedic injury admission >24 hours 15+ years N=15459 6 and 12- months GOSE, SF-12, SF-6D, EQ-5D DutchNetherlands Presentation to ED Adults N=8014 2.5, 5, 9 and 24-months EQ-5D UKBOIUK Presentation to ED or hospital admission 5+ years N=1219 1, 4 and 12- months EQ-5D or PedsQL, HUI3 POISNZACC claim 18-64 years n=28563, 12 and 24- months WHODAS II, EQ-5D Datasets – adult participants

9. StudyMean (SD) age% MaleKey causes NSCOT47.6 (20.4) years65%Road traffic injury (44%), Falls (36%) VSTR48.4 (21.7) years73%Road traffic injury (46%), Falls (32%) VOTOR57.0 (23.0) years50%Falls (62%), Road traffic injury (25%) Dutch49.5 (21.6) years54%Home/leisure (54%), Road traffic injury (24%) UKBOI48.2 (21.0) years52%Road traffic injury (10%) POIS41.1 (13.0) years61%Road traffic injury (7%) Brief profile

10. EUROCOST 39 categories StudyTop 5 EUROCOST 39 health states NSCOT Skull/brain, Internal organ, Fractured pelvis, Fractured femur shaft, Fractured knee/lower leg VSTR Skull/brain, Internal organ, Fractured rib/sternum, Fractured/dislocation/sprain/strain vertebrae/spine, Spinal cord injury VOTOR Fractured hip, Fractured knee/lower leg, Fractured wrist, Fractured/dislocation/sprain/strain vertebrae/spine, Fractured ankle DutchSuperficial injury, Skull/brain, Fractured hip, Concussion, Fractured rib/sternum UKBOI Fractured knee/lower leg, Superficial injury, Open wounds, Fractured wrist, Fractured foot/toes POISFractured/dislocation/sprain/strain vertebrae/spine, Dislocation/strain/sprain knee, Open wound, Dislocation/strain/sprain ankle/foot, Superficial injury

11. EQ-5D

12. GOS-E

13. SF-12

14.  Classification  Mapping to 1990 GBD, 2010 GBD (GBD-IEG), 2010 GBD (final), other existing  Disability measures  Prevalence of disability  Impact of cut-offs on estimates  “Cross-walks”  New weights  Application of alternative classifications, weight, durations to incidence and prevalence data  Compare YLD and DALY estimates Program of work to be completed

15. Expected outcomes  Improved understanding of the relationship between disability measures  Improved disability weights based on empirical data  Improved classification of injury health states for burden studies  Improved understanding of the duration of disability experienced by survivors  Recommended methodology for injury burden studies  Inform future GBD studies

16. Key remaining challenges  Paediatric injury outcomes, durations and weights (limited data in the study at present)  Need for disability data from LMIC to better inform burden estimates  Ongoing need for disability data from non-hospitalised injury cohorts (limited data in the study at present)

17.  National Health and Medical Research Council (NHMRC) of Australia  Australasian Epidemiological Association (AEA) for funding BG attendance at ICE Acknowledgements