Chief Investigators: Victoria McCreanor, Michael Schuetz, Jerry van de Pol, Richard Hanly, Venerina Johnston, Christopher Smith, Mark Cruickshank, Peter Slattery, Melanie Plinsinga, Silvia Manzanero, Nicole Andrews, Jordy White, Andrew Foster, Jessica Angus.
This research program brings together a multi-disciplinary collaboration, led by Jamieson Trauma Institute, with the aim of improving outcomes for patients following ankle fractures. The collaboration includes researchers from Jamieson Trauma Institute and RECOVER (UQ), as well as clinicians from the orthopaedics, physiotherapy and orthotics and prosthetics departments at RBWH. The research involves several stages including review and assessment of available technology and rehabilitation protocols, validation of technology for use in this context, feasibility of use by patients during their rehabilitation, and a clinical trial to determine which weight-bearing strategies result in the best recovery for patients.
Chief Investigators: Michael Schuetz, David Paterson, David Hansen, Victoria McCreanor, Andrej Trampuz, Andrew Foster
Orthopaedic device-related infection is a challenging post-operative complication following trauma care, affecting up to 30% of patients with an open fracture and costing the healthcare system 400% of their un-infected counterparts. These patients all require complex multidisciplinary management from both a surgical and infectious disease perspective. Currently there are no widely accepted diagnosis and treatment algorithms for patients, making any standardization, outcome evaluation or optimization of current practices impossible. Our aim is to develop an artificial intelligence (AI)-assisted medical consultation portal that can assist treating clinicians based on the experience of a specialized multidisciplinary team at the Royal Brisbane and Women’s Hospital in partnership with the Proimplant Foundation Berlin. The portal will facilitate the development of evidence-based practices through identifying trends with patient outcomes.
Chief Investigators: Dr Matthew Hope, A/Prof Cate Cameron, Ms Jace Warren, A/Prof Kirsten Vallmuur, A/Prof Kevin Tetsworth, Dr Andrew Mayo, A/Prof Cliff Pollard
This data linkage study aims to examine the clinical and economic impact of pelvic and lower extremity fractures from land transport crashes in Queensland. Pelvic and lower limb fractures, particularly from motor vehicle crashes, make up a significant proportion of the orthopaedic workload in acute care, however little is currently known on a state-wide basis about the true cost and long-term resource burden from these injuries. This study will examine all pelvic and lower limb fracture cases from land transport crashes across Queensland over a five-year period. By using data linkage and obtaining all readmissions to any hospital, both planned and unplanned, ongoing treatment as well as complications will be captured in the 12-month period following an original injury event. This study will enable a comprehensive cost and resource burden analysis for this trauma population as well as inform the Queensland Health Trauma Data Warehouse development around data linkage techniques and case identification for determining readmissions in trauma data.
Chief Investigators: A/Prof Kirsten Vallmuur, Dr Angela Watson, Mr Paul Taylor, A/Prof Cate Cameron, Ms Jace Warren
This project will firstly examine the quality of the injury data collected by a range of service providers and data sources including prehospital, retrieval, emergency, admitted patients, ICU, and injury deaths. Secondly, the study aims to examine the pattern, trends and cost of injury in Queensland over the last five years by analyzing all the trauma data sources to get a more complete picture of the true burden of injury. The findings will help inform the development of the Queensland Health Trauma Data Warehouse by identifying the most appropriate, high-quality data fields to include in the warehouse as well as demonstrating the value of the data for describing the trauma burden in Queensland.
Having a measure of injury severity is a fundamental factor to include in predictive modelling of outcomes of trauma patients. Currently, the only severity scores in Queensland are for cases manually coded by four trauma registries, which have restrictive criteria for inclusion and therefore reflect only a fraction of the total trauma cases across the state. It is also not feasible or sustainable to manually score all state-wide injury data. This study will compare the strength of mortality prediction of three injury severity estimates [Injury Severity Score (ISS), ICD-10-AM-based Injury Severity Score (ICISS) and Trauma Mortality Prediction Model (TMPM)] using hospital administrative data (from which ICISS and TMPM can be calculated) for a trauma registry-based population with ISS-coded data. This will be used to identify the best algorithms for automating severity scoring using ICD coded data and develop recommendations regarding future use of injury severity estimation models in Queensland.
Chief Investigators: A/Prof Cate Cameron, Ms Jace Warren, Prof Michael Muller, Prof Michael Rudd
The last epidemiological review of adult burn injuries in Queensland was undertaken 15 years ago. The aim of this project was to review the current data to describe the number of admissions, demographics, injury, acute treatment factors and acute care outcomes of adult burn patients admitted to the Professor Stuart Pegg Adult Burns Centre at Royal Brisbane and Women’s Hospital (RBWH Burns Centre) between 2008 and 2017. Given that the treatment of severe burns is often expensive, complex, and resource intensive, it is important to understand the current trends in the type of patients referred to RBWH Burns Centre, and to use this information to maintain and plan for a sustainable and effective burns service for Queenslanders. Current data is also needed to establish a base for assessing the impact of new treatments and initiatives, such as the establishment of the Skin Culture Centre and the introduction of the National Injury Insurance Scheme Queensland (NIISQ).