Methods For Evaluating The Therapeutic Impact Of Diagnostic Tests - Development Of Guidelines
Funder
National Health and Medical Research Council
Funding Amount
$132,325.00
Summary
New diagnostic tests are frequently adopted in clinical practice without any evidence that they improve patient outcomes. This project will produce the first guidelines about the role and optimal design of studies assessing the impact of a new test on therapeutic decisions for conclusions about its clinical value. This work will inform researchers and clinicians to improve evidence-based diagnostic practice and promote the more efficient use of limited health care resources.
The Diamond Cohort Study- Examining Depressive Symptoms In Primary Care
Funder
National Health and Medical Research Council
Funding Amount
$570,886.00
Summary
Depression is the single largest cause of disability for people in Australia. It is mainly managed in general practice-primary care, yet many people experiencing depression go unrecognised by their family doctor or general practitioner (GP). Some people, even when given treatment, remain depressed. Guides on how to manage depression have been mainly based upon people attending psychiatrists and hospitals. In addition, there have been a number of large studies overseas testing new ways of helping ....Depression is the single largest cause of disability for people in Australia. It is mainly managed in general practice-primary care, yet many people experiencing depression go unrecognised by their family doctor or general practitioner (GP). Some people, even when given treatment, remain depressed. Guides on how to manage depression have been mainly based upon people attending psychiatrists and hospitals. In addition, there have been a number of large studies overseas testing new ways of helping people with depression. Unfortunately, they do not seem any better than usual care by a GP. We are currently funded by the NHMRC for diamond 1 to follow 800 people to investigate the factors from the patient's and doctor's point of view that are likely to aid recovery from depression, and to detail the way in which people are cared for in the primary health care system. There is increasing research showing that depression is a chronic and relapsing condition and that a one-year follow-up, whilst longer than most previous studies, will capture only a small glimpse of the health service use and relapse patterns of the patients enrolled in our study. In this application, we request funding to continue to follow participants. diamond 2 aims to explore the patient characteristics and health service use patterns of patients who experience persistent major depression with patients who experience a single episode of depression within a 3-year period. We will use the data gathered to develop models that predict recovery-relapse-persistence of depression. Such models will enable us to develop guidelines and design interventions that better target those at risk of continuing and disabling illness. This work will be of international significance and has the potential to influence the entire primary mental health care system and contribute to substantial system change.Read moreRead less
Goodness-of-fit Testing Of Log-link Models For Categorical Outcome Data
Funder
National Health and Medical Research Council
Funding Amount
$260,863.00
Summary
Information about the health consequences of exposure to causal factors is obtained from mathematical models of observed data. Incorrect inferences are possible if the model does not adequately represent the data. Relative risk models are recommended for observations over time on a cohort of subjects, but it is not known how best to assess the adequacy of such models. This project will assess the performance of summary measures of goodness-of-fit when applied to relative risk models.
Design And Analysis Of Interrupted Time Series Studies In Health Care Research: Resolution Of Methodological Issues
Funder
National Health and Medical Research Council
Funding Amount
$307,125.00
Summary
An interrupted time series (ITS) study involves a population observed on multiple occasions before and after the implementation of an intervention program. However, methods for statistical analysis and designing such studies have not been well developed and many statistical analyses of such studies are flawed. This proposal will investigate appropriate methods for design and analysis, and develop guidelines and software for its implementation by health researchers.