A National Aged Care Medication Roundtable - Translating Aged Care Data Into Action To Improve Quality Of Care Through Collaboration And Co-design
Funder
National Health and Medical Research Council
Funding Amount
$1,444,499.00
Summary
Older Australians with the most complex health needs live in residential care. Greater than 80% of residents are on five or more medications daily, and 40% are taking 10 or more. Poor medication management is the greatest source of complaint to the Aged Care Quality & Safety Commission. This project will provide timely information to a group of providers and consumers about the medicines residents receive, identify problem areas and trial innovative interventions to address these issues.
Consumer Information Materials And A Communication Aid For Diagnostic Tests For Breast Disease
Funder
National Health and Medical Research Council
Funding Amount
$105,863.00
Summary
Many studies have now shown that the majority of patients want to participate in clinical decisions about medical treatments they might receive. As a result, information materials are being developed to help consumers and doctors work together to reach satisfying treatment decisions which are based on the best available evidence and also reflect the individual patient's needs and preferences about the treatment options. Very little is known, however, about whether consumers also want to particip ....Many studies have now shown that the majority of patients want to participate in clinical decisions about medical treatments they might receive. As a result, information materials are being developed to help consumers and doctors work together to reach satisfying treatment decisions which are based on the best available evidence and also reflect the individual patient's needs and preferences about the treatment options. Very little is known, however, about whether consumers also want to participate in decisions about whether to have a medical test. Tests can be trivial, such as a blood or urine test, or quite major and invasive, such as a biopsy or a colonoscopy. People considering a medical test might want to know the answers to the following questions: What is my chance of having the disease being tested for? If the test result is positive what is the chance I have the disease? If the test result is negative what is the chance I have the disease anyway? How will the test result influence treatment of my condition? What are possible side-effects of the test? Generally information materials about medical tests only describe the test itself, and do not contain the information people need to answer these questions. Even doctors may not have to hand the data needed to answer these questions. Yet without this information, consumers cannot make truly informed and rational choices about whether to have the test. This project aims to find out whether consumers want to participate in decisions about medical tests, what information they would want to do this, and to develop and trial information materials and a communication aid for a small number of breast cancer tests. We will use tests for diagnosing breast cancer as our model but we anticipate the work will be applicable across a wide range of medical tests.Read moreRead less
Harnessing Information Technology To Improve Self-management Behaviours And Health Outcome In People With Heart Failure: A Smarthome Ecosystem Living Lab Study
Funder
National Health and Medical Research Council
Funding Amount
$1,120,226.00
Summary
The burden of heart failure in Australia is substantial. Management of heart failure is complex and requires self-management of symptoms and behaviour change, which requires ongoing education and support to achieve. Current approaches for supporting self-management do not meet the needs of people with heart failure or the healthcare system. This Australian first project aims to co-design an intelligent smart home ecosystem (Smart Heart) to support the management for people with heart failure.
Real-time Surveillance For The Early Detection Of E-health Related Adverse Events
Funder
National Health and Medical Research Council
Funding Amount
$311,860.00
Summary
Health care delivery has become increasingly dependent on information technology. There is growing concern about the risk of harm caused by e-health technology. Current methods for error detection are minimal, and healthcare software remains largely unregulated. This research aims to develop innovative surveillance technologies to provide real-time monitoring and to facilitate early detection of e-health generated adverse events, as a critical step to improve the safety of e-health technology.
Establishing A Digital Health Foundation For Outcomes-based Diagnostic Excellence, Safety And Value
Funder
National Health and Medical Research Council
Funding Amount
$1,027,501.00
Summary
Our partnership proposal will lead to the development of a digital infrastructure (involving big data resources and sophisticated decision support systems) as a foundation for outcomes-based research, optimised clinical care processes and translation into policy and practice. The partnership will encompass key research areas involving the quality, safety and value of care in musculoskeletal care, infectious diseases, diabetes care and emergency/intensive care.
Understanding And Preventing Avoidable Readmissions: Development Of A Patient Centered And Disease Specific Screening Tool
Funder
National Health and Medical Research Council
Funding Amount
$100,000.00
Summary
This study aims to develop a screenings tool to prevent unplanned re-admissions, based on specific patient centred and disease specific factors. We will include index admission data (367,782 in 2015) of five MACH hospitals. The cohort will be divided into a group for index derivation and a group for internal validation. Variables on patient and admission characteristics are based on literature. After internal validation we will validate the tool externally and implement it in clinical practice
Diagnostics For Mixture Regression Models: Applications To Public Health
Funder
National Health and Medical Research Council
Funding Amount
$128,250.00
Summary
In many public health studies, finite mixture regression models are often used to analyse data arising from heterogeneous populations. It is important to assess the stability of parameter estimates and the validity of statistical inferences when the underlying assumptions appear to be violated, but appropriate diagnostics are lacking in the literature. This research aims to develop effective diagnostic methods for assessing the adequacy of mixture regression models and the sensitivity of accompa ....In many public health studies, finite mixture regression models are often used to analyse data arising from heterogeneous populations. It is important to assess the stability of parameter estimates and the validity of statistical inferences when the underlying assumptions appear to be violated, but appropriate diagnostics are lacking in the literature. This research aims to develop effective diagnostic methods for assessing the adequacy of mixture regression models and the sensitivity of accompanying test statistics. The methodology developed will enable health care professionals to focus on substantive issues and to draw accurate and valid conclusions inferred from correlated and over-dispersed outcomes. In the presence of anomalous observations, the influence diagnostics can provide insights into the source of heterogeneity and the apparent over-dispersion, while accommodating the inherent correlation due to the longitudinal study design or nested data structure. Significance of the research lies in its scientific novelty and the breadth of its practical applications. The benefits to public health will accrue both nationally and internationally. For the empirical studies that motivated and are linked to this research, evaluation of health outcomes has significant implications in the prevention and control of recurrent urinary tract infections, hospital strategic planning, and post-stroke care and rehabilitation management. Moreover, appropriate assessment of a physical activity intervention for older adults is pertinent to falls prevention and reduction of musculoskeletal disorders among sedentary seniors.Read moreRead less
Hierarchical Finite Mixture Modelling Of Health Outcomes: A Risk-adjusted Random Effects Approach
Funder
National Health and Medical Research Council
Funding Amount
$117,000.00
Summary
In medical and health studies, finite mixture regression models have been used to analyze data arising from heterogeneous populations. Traditionally, the application of mixture models is mainly concerned with finite normal mixtures. Recent computational advances and methodological developments have enhanced the extension of the method to non-normal finite mixtures, such as the modelling of discrete responses in finite mixture of generalized linear models and overlapping phases of failure time da ....In medical and health studies, finite mixture regression models have been used to analyze data arising from heterogeneous populations. Traditionally, the application of mixture models is mainly concerned with finite normal mixtures. Recent computational advances and methodological developments have enhanced the extension of the method to non-normal finite mixtures, such as the modelling of discrete responses in finite mixture of generalized linear models and overlapping phases of failure time data in the context of survival analysis. However, due to the hierarchical study design or the data collection procedure, the inherent correlation structure and-or clustering effects present may contribute to extra variations and violation of the independence assumption, resulting in spurious associations and misleading inferences based on the finite mixture model. This project aims to present a unified approach to accommodate both heterogeneity and dependency of observations, by incorporating random effects into finite mixture regression models. The new methodology will provide an integrated framework to analyze heterogeneous and correlated health outcomes. Three empirical studies are considered, namely, evaluation of an occupational injury reduction intervention, length of hospital stay modeling, and analysis of survival times of patients after cardiac surgery. The long term benefits to bioscience are accurate and valid conclusions inferred from medical and health studies, as well as the correct identification of high-risk subgroups. For the three application areas of this project, the improved analyses will specifically enable the evaluation of a participatory ergonomics intervention, the assessment of hospital efficiency and factors influencing length of hospitalization, and the determination of effectiveness of treatments prescribed pre- and post- operation, respectively.Read moreRead less
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.