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.
Interdisciplinary Clinical And Health Ethic Research And Training To Improve Outcomes In Immunosuppressed Haematology Pa
Funder
National Health and Medical Research Council
Funding Amount
$2,000,000.00
Summary
The Centre will improve Australia's capacity to combat and prevent life-threatening infections, and reduce adverse social outcomes, in high-risk children and adults with heavily suppressed immune systems. Infections cause most preventable disease and death in these patients. We will establish multidisciplinary training programmes in clinical and ethics research and build on our expertise in infectious diseases and microbiology, diagnostics, haematology, immunisation, health informatics and bioet ....The Centre will improve Australia's capacity to combat and prevent life-threatening infections, and reduce adverse social outcomes, in high-risk children and adults with heavily suppressed immune systems. Infections cause most preventable disease and death in these patients. We will establish multidisciplinary training programmes in clinical and ethics research and build on our expertise in infectious diseases and microbiology, diagnostics, haematology, immunisation, health informatics and bioethics to improve patient outcomes. These outcomes will be translatable to other high-risk patients such as those with cancer and the critically ill.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.
Neuronal Substrate Of Choice In The Rat Whisker System
Funder
National Health and Medical Research Council
Funding Amount
$405,851.00
Summary
Humans and other animals can optimise their goal-directed behaviour by linking stimuli or actions to consequent positive and negative rewards. How does an animal generate such associations, and make decisions in the natural environment where the associations are often uncertain, at times contradictory, and continuously changing? This project uses rat whisker system as an animal model to identify the neuronal basis of perceptual decision making and the role of context.
Improving Global Tuberculosis Control With The AuTuMN Platform
Funder
National Health and Medical Research Council
Funding Amount
$655,059.00
Summary
Tuberculosis (TB) is the world’s leading infectious killer, with the failure of global control responsible for the vast majority of Australia’s cases. Using our robustly developed software platform, we have performed several country-level studies to predict the future burden of disease and compare the impact of alternative responses to controlling the epidemic. In this project, we will extend our platform to perform simulations at the global level and answer key questions in TB control.
Preterm birth is a major cause of neonatal death and cerebral palsy. This grant will provide proof-of-concept that a computer program can be developed to predict a pregnant woman�s risk of preterm birth. There is a large market (4M US and 8M Europe), there are no competing technologies. This is a unique collaboration between Biomedical Engineering and an Australian centre with an international reputation in preterm birth, assisted by a pathology company.
Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoret ....Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoretically, the project aims to use tools from machine learning to compare human decision making to optimal planning models.Read moreRead less
A new approach to understanding decision making. Mathematical theories of decision-making have helped us understand many aspects of psychology (such as ageing, gambling, psychological disorders and consumer decisions). This project will extend these theories to a new level of finer-grained analysis, opening up new possibilities for understanding cognition and behaviour.
Misinformation: Evidence evaluation in an alternate fact reality . This project aims to understand why people believe misinformation. Misinformation causes some people to adopt implausible beliefs. These beliefs pose a significant challenge for society because they can result in behaviours that negatively impact personal and public safety. By combining surveys, qualitative analysis, and systematic experimentation, this project will identify differences in evidence evaluation and persuasiveness b ....Misinformation: Evidence evaluation in an alternate fact reality . This project aims to understand why people believe misinformation. Misinformation causes some people to adopt implausible beliefs. These beliefs pose a significant challenge for society because they can result in behaviours that negatively impact personal and public safety. By combining surveys, qualitative analysis, and systematic experimentation, this project will identify differences in evidence evaluation and persuasiveness between people who believe misinformation and those who do not. It is anticipated that our novel approach will build knowledge about misinformation effects and will reduce associated harms by expanding our understanding of how to communicate effectively with people who are persuaded by misinformation.Read moreRead less
Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous ....Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous and indigenous Australians by development of a user-friendly computer-based decision support tool for doctors. Once established, this tool will have applications in other fields of health care where support is needed to make informed dosing decisions for critical medications and have the potential to reduce financial and social impacts of chronic disease.Read moreRead less