Patient-centred EHealth Approach To Improving Outcomes For Gout Sufferers
Funder
National Health and Medical Research Council
Funding Amount
$688,354.00
Summary
Gout, caused by excessive urate, can be controlled by prescribing medication and patients adhering to them. We will conduct a 2-year controlled trial in primary care to test an eHealth tool to significantly improve gout patient outcomes. This tool tracks patients plasma urate, medication adherence, gout attacks and provides education, interaction with gout experts and reminders of medical visits. Nationwide rollout of this gout management tool will occur after improved outcomes are proven.
Fundamental flaws in the design and reporting of research outcomes can undermine evidence-based medicine, impede patient-centred care, cause harm to patients, and result in a waste of research dollars. Our 3-year multinational project engages with patients, caregivers, clinicians, researchers and policy makers, to establish core outcomes in haemodialysis. This will ensure that patient-centred outcomes are consistently measured and reported in haemodialysis trials and other forms of research.
Centre Of Research Excellence: Partnering With Patients With Chronic Kidney Disease To Transform Care And Outcomes (CRE-PACT)
Funder
National Health and Medical Research Council
Funding Amount
$2,500,000.00
Summary
CRE-PACT will partner with patients to generate and translate new high-priority evidence to improve outcomes that are important to people living with chronic kidney disease (CKD). We will address the topics and questions most important to patients. We will build the next generation of research leaders and a community of research-ready patient-partners. There will be an integrated pathway for evidence translation and implementation at a global scale to improve patient-centred outcomes.
The efficacy of models for educational service delivery for students with autism spectrum disorders. This project will evaluate the effectiveness of two models of support (Satellite Class and Consultative model) for children with autism spectrum disorders (ASD) in regular schools. This research has significant potential to provide insight into the best ways of supporting children with ASD and improving their educational outcomes.
How schools make decisions about supporting students with disability. How schools make decisions about supporting students with disability. This project aims to examine how schools decide about adjustments for students with disability. More students with disability are enrolled in mainstream schools, and schools take decisions about resourcing to support them. Little is known about how schools make these decisions and data suggest an over-reliance on teacher assistants. This project will develop ....How schools make decisions about supporting students with disability. How schools make decisions about supporting students with disability. This project aims to examine how schools decide about adjustments for students with disability. More students with disability are enrolled in mainstream schools, and schools take decisions about resourcing to support them. Little is known about how schools make these decisions and data suggest an over-reliance on teacher assistants. This project will develop and evaluate a pilot professional learning package to support schools to make better decisions will be developed and evaluated. A better understanding of decision-making processes is expected to help schools make optimal, cost-effective decisions that personalise learning and support.Read moreRead less
Electronic Decision Support For Osteoporosis Care To Assist Clinicians And Patients In Primary Care And Hospitals
Funder
National Health and Medical Research Council
Funding Amount
$598,570.00
Summary
Currently there is so much health information for doctors and consumers to sift through important health conditions can be missed. In a world first, a computer decision aid is being developed that will link risk factors for fracture and osteoporosis with the latest scientific evidence about investigations and treatment. It’s not just for doctors but also for the public; with a consumer decision aid being developed to place the latest scientific evidence about osteoporosis at your fingertips.
The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on ....The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on the language modelling of what is written in engineering documentation about the bases of decisions. The new methods will help decision makers to pinpoint irrationalities in decisions and notify them of possible errors. The research can therefore be applied to important problems in the engineering sector such as risk management.Read moreRead less
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less
An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation meth ....An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation methods to synthesise these abstracts using automated statistical meta-analysis methods. These methods have broad potential to improve text-summarisation technologies in general, to profoundly enhance our ability to integrate published knowledge, and to make a highly significant and specific contribution to improving the quality of evidence used in health decision-making. Read moreRead less
Creating A Culture Of Safety And Respect: A Controlled, Mixed Methods Study Of The Effectiveness Of A Behavioural Accountability Intervention To Reduce Unprofessional Behaviours
Funder
National Health and Medical Research Council
Funding Amount
$875,978.00
Summary
Unprofessional behaviours among health professionals are common and are associated with increased patient dissatisfaction and medicolegal risk. Addressing these behaviours is a national issue. Ethos is a structured accountability system involving a process of early, non-punitive and tiered intervention and will be introduced across four Australian hospitals. This research will be the first controlled study to assess the effectiveness of the Ethos program to improve patient safety in Australia.