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Social network sites for ambivalent socialisers: the case of smoking cessation. The aim of this project is to understand the potential of electronically-mediated engagement to support groups of ambivalent socialisers, and through this develop and evaluate new approaches to the application of social network technologies to smoking cessation.
Estimating use of tobacco and nicotine products through wastewater analysis. This project aims to equip the Australian public health and security sector with a tool to accurately measure tobacco consumption in the general population. Specific human biomarkers in urine will be identified using non-target approaches and their pharmacokinetics quantified. The new data will address critical gaps in our knowledge on the population-level excretion of biomarkers for the consumption of tobacco and alter ....Estimating use of tobacco and nicotine products through wastewater analysis. This project aims to equip the Australian public health and security sector with a tool to accurately measure tobacco consumption in the general population. Specific human biomarkers in urine will be identified using non-target approaches and their pharmacokinetics quantified. The new data will address critical gaps in our knowledge on the population-level excretion of biomarkers for the consumption of tobacco and alternative nicotine products. The outcomes of this project will provide reliable, cost-effective estimates of tobacco consumption for use with wastewater-based epidemiology assessments. This will enable changes in tobacco use to be accurately evaluated for the first time and improve the efficacy of tobacco control measures.Read moreRead less
Stopping the run-around: comorbidity action in the north (CAN). The purpose of the project is to identify the barriers and facilitators to effective use of mental health and drug and alcohol services in a metropolitan region of South Australia. The evidence base will then drive the development and implementation of effective change to service delivery to improve outcomes for people with comorbidity.
Estimating per capita use and release of chemicals by wastewater analysis. This project aims to systematically collect and analyse wastewater to assess human exposure to chemicals including drugs, pharmaceuticals, lifestyle chemicals and environmental pollutants. By combining temporal sampling from key sewage treatment plants with comprehensive nationwide sampling over the week of the 2016 census day, the project expects to estimate the per-capita human exposure to chemicals in the Australian po ....Estimating per capita use and release of chemicals by wastewater analysis. This project aims to systematically collect and analyse wastewater to assess human exposure to chemicals including drugs, pharmaceuticals, lifestyle chemicals and environmental pollutants. By combining temporal sampling from key sewage treatment plants with comprehensive nationwide sampling over the week of the 2016 census day, the project expects to estimate the per-capita human exposure to chemicals in the Australian population. Accurate and objective per-capita based consumption and release estimates for a wide range of chemicals is intended to provide a baseline against which to measure changes in our chemosphere.Read moreRead less
Determining the individual, community and societal impacts of compensable injury in Australia. This project will enhance our understanding of the individual, community and societal impacts of workplace and transport injury in Australia. The project will develop new impact measurement tools for application in workers' compensation and motor accident compensation schemes.
Predictive analytics from at home telemonitoring of vital signs. Predictive analytics from at home telemonitoring of vital signs. This project aims to reduce unscheduled admissions to hospital, by developing statistical models of people’s health using longitudinal measurements of vital signs and questionnaires. Hospital costs are becoming unsustainable and will overwhelm state budgets within thirty years. Telehealth monitoring to manage chronic disease is becoming increasingly routine internatio ....Predictive analytics from at home telemonitoring of vital signs. Predictive analytics from at home telemonitoring of vital signs. This project aims to reduce unscheduled admissions to hospital, by developing statistical models of people’s health using longitudinal measurements of vital signs and questionnaires. Hospital costs are becoming unsustainable and will overwhelm state budgets within thirty years. Telehealth monitoring to manage chronic disease is becoming increasingly routine internationally and should reduce unnecessary hospital admissions and health service costs. To scale up telehealth services nationally, automated means of assessing changes in an individual health status are needed. This project’s automated risk assessment models are expected to identify exacerbations and orchestrate an optimal response from health services to reduce unscheduled admissions to hospital.Read moreRead less
Strengthening organisational performance through accreditation research: the ACCREDIT project. This project will address multiple national benefits, including the National Research Priority, promoting and maintaining good health. Our knowledge of how accreditation, standards-setting and surveying contributes to organisational performance and quality of care will be considerably improved. Better health policy, improved services to patients, enhanced consumer involvement in their own care and rese ....Strengthening organisational performance through accreditation research: the ACCREDIT project. This project will address multiple national benefits, including the National Research Priority, promoting and maintaining good health. Our knowledge of how accreditation, standards-setting and surveying contributes to organisational performance and quality of care will be considerably improved. Better health policy, improved services to patients, enhanced consumer involvement in their own care and research results for use by national bodies, other industries and international partners are some of the key benefits this project aims research achieve. The community is vitally interested in the costs of health services, the value for money they produce and the standards of care provided.Read moreRead less
From data to action: a new process for developing injury countermeasures. This project aims to understand how reporting systems can improve workplace safety. Workplace injury affects over 600 000 Australian workers per year at a cost of approximately $60 billion. Although the introduction of incident reporting systems has enabled organisations to better understand the causes of injuries, how to translate this knowledge into effective countermeasures remains ambiguous. Moreover, it is not clear w ....From data to action: a new process for developing injury countermeasures. This project aims to understand how reporting systems can improve workplace safety. Workplace injury affects over 600 000 Australian workers per year at a cost of approximately $60 billion. Although the introduction of incident reporting systems has enabled organisations to better understand the causes of injuries, how to translate this knowledge into effective countermeasures remains ambiguous. Moreover, it is not clear whether adopting incident reporting systems actually leads to a safety benefit. This research intends to tackle these critical knowledge gaps by developing, implementing, and testing a process for translating incident reporting system outputs into appropriate and effective injury countermeasures, and then evaluating the safety effects of adopting the new incident reporting and learning cycle.Read moreRead less
Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. Th ....Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. The enabling methodology from this project for building computerised cognitive learning systems will be a frontier technology to enhance smart information use in clinical decision support. It will also contribute to the development of knowledge-based systems. A network version of the developed system will assist doctors working in rural and remote areas with their clinical decision making and prescribing practice.Read moreRead less
Modeling Healthcare Systems. An efficient healthcare system is essential for the well-being of any society. The aim of the project is to develop major advances in the mathematical modelling of healthcare systems, in order to improve efficiency, and ultimately, patient health. The first expected outcome is the development of mathematical models that constitute a high-level description of patient flow through hospitals and subacute care, so that demands for emergency and elective capacity are met ....Modeling Healthcare Systems. An efficient healthcare system is essential for the well-being of any society. The aim of the project is to develop major advances in the mathematical modelling of healthcare systems, in order to improve efficiency, and ultimately, patient health. The first expected outcome is the development of mathematical models that constitute a high-level description of patient flow through hospitals and subacute care, so that demands for emergency and elective capacity are met given limited resources. The second is the development of a bed allocation algorithm that allocates patients to appropriate wards, so as to optimise the set of performance indicators of the system under appropriate constraints, given the current ward occupancy.Read moreRead less