Presenter: Laura Kirkland, WA Department of Health
Estimates produced from a burden of disease study remain the best summary measure of a population’s health and are the gold standard for policy-relevant evidence.
One half of this workshop will focus on the Australian Burden of Disease Study (ABDS) undertaken by the Australian Institute of Health and Welfare (AIHW). Key findings from recent extension work focussed on the disease burden due to selected risk factors will be presented, including results of scenario modelling and projections. Preliminary results on fatal burden from the current ABDS will also be presented via an interactive data visualisation tool which includes estimates for 2003, 2011 and 2015.
The other half of this workshop will focus on the WA Burden of Disease study (WABODS). The WABODS is a collaboration with the AIHW, building on the ABDS methods to produce state-, sub-state and Aboriginal level estimates for WA. Translating the ABDS methods to State and sub-State levels has posed some unique methodological challenges, these challenges will be discussed.
This workshop will be of interest to anyone who uses burden of disease data, who wants to better understand how burden of disease estimates are calculated, or jurisdictions thinking of undertaking their own burden of disease analyses.
Innovation and recognition of the need to efficiently collect, analyse and interpret “big data” has been described as a revolution in healthcare and health research. More than ever, researchers need tools that help them securely capture, manage and use sensitive health data. This workshop will demonstrate two such tools- REDCap and the Curtin Research Data Appliance. The team will demonstrate the use of REDCap in collecting data from survey/trial participants and share some insights/tips in using the software. The Curtin Research Data Appliance system will also be showcased as a secure platform for curating and analysing research data for multiple projects with multiple users. This workshop will be useful for researchers working in the area of large clinical trials and population-level research.
This workshop will be an interactive and hands on look at some of the tools and software available to integrate into your teaching. Examples of incorporating technology into face to face classes, and innovative ways to engage with online students will be presented and the benefits and limitations of these technologies will be discussed.
Paula Fievez (Health Program Director, FrontierSI), Grace Yun (Manager Spatial Services, Epidemiology Branch, Public and Aboriginal Health Division, WA Department of Health); Professor Peter Baade (Biostatistician-Senior Research Fellow, Queensland Cancer Council), Dr Karen McCulloch (Research Fellow, Doherty Epidemiology, University of Melbourne at The Peter Doherty Institute for Infection and Immunity) and Laura Kirkland (Principal Epidemiologist, Epidemiology Branch, Public and Aboriginal Health Division, WA Department of Health)
Maps have been an integral part of human history for thousands of years, and their ability to make communities live a better life is felt more strongly with each passing day. With location becoming fundamental to all decision-making, learn how visualization is achieved through GIS and spatial analytics, and is driving the world to achieve more efficient health outcomes. This workshop will begin with multiple case studies from various areas and Q&A with case study presenters, followed by the potential application of modern spatial data and demonstrations of its applications.
Dr. Murthy Mittinty, The University of Adelaide
Aim of the workshop:
The aim of this workshop is to provide an outline of recent developments in mediation analysis, that is, the analyses used to assess the relative magnitude of different pathways
and mechanisms through which an exposure may affect an outcome.
The purpose of the workshop is to provide:
(i) Conceptual understanding and interpretability of the results;
The workshop will cover traditional approaches to mediation such as product and difference methods and introduce the latest developments such as counterfactual approach. Importance will be given to the confounding assumptions required for a causal interpretation of direct and indirect effect estimates. Methods from the causal inference literature to conduct mediation in the presence of exposure mediator interactions, binary outcomes, binary mediators, and case-control study designs will be demonstrated. Sensitivity analysis techniques for unmeasured confounding and measurement error will be introduced. Discussion will focus on extending single mediation analysis to multiple mediators.
(ii) Using epidemiological data practical applications of the above methods will be demonstrated. Analysis will be demonstrated using commonly used software such as STATA, R and SAS.
(iii) Emphasis will also be given on report and communication of the estimates from the above methods.