Early bird price: $350 per person (excl GST) + Eventbrite fees | available until 5pm Wednesday, 3 May. Standard price: $450 per person (excl GST) + Eventbrite fees
The Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) are valuable data resources with untapped potential to identify and monitor patterns of health service use and inform health service planning.
In this course participants will gain:
- An introduction to datasets
- Advice on dealing with some of their specific characteristics
- View worked examples of how datasets can be used.
Who should attend?
This course has been designed to meet the needs of researchers, policy makers and health service/program planners who have an interest in using the MBS and PBS data for linked data research, such as, via the Sax Institute’s 45 and Up Study or similar, to drive policy and practice change.
The course does not assume prior experience with MBS or PBS, but some knowledge of other routinely-collected health datasets (for example, hospital data) is desirable. This course will be useful for both ‘hands-on’ statistical data users as well as managers / planners who contribute to study design and interpret findings but do not use data directly.
This course includes the following topics:
- Why analyse MBS and PBS data and different data cuts available
- What information is captured, and which people are included, in the datasets
- Common elements in MBS and PBS data
- What can and cannot be measured using MBS and PBS data
- Peculiarities of the datasets
- How to choose the right codes, people, and study periods
- General advice for analysing MBS and PBS data, analysing aggregate data
- A case study for analysing individual-level data from multiple datasets.
Session 1 – Wednesday 7 June 2023, 9.30am-12pm
Why analyse MBS and PBS data; different data cuts available; what information is captured in these datasets; which people are included in these datasets; common elements in MBS and PBS data; what can and cannot be measured using MBS and PBS data.
Session 2 – Wednesday 14 June 2023, 9.30am-12pm
Peculiarities of the datasets; how to choose the right codes, people, and study periods; general advice for analysing MBS and PBS data, analysing aggregate data, a case study for analysing individual-level data from multiple datasets.
Dr Anna Kemp-Casey
Dr Anna Kemp-Casey
Dr Anna Kemp-Casey is a Research Fellow in the Medicines and Device Surveillance Centre for Research Excellence at the University of South Australia and an Adjunct Research Fellow with the Centre for Health Services Research at The University of Western Australia.
Anna has a decade of experience using PBS and MBS data to examine health service use in vulnerable populations. Her other research activities include cost barriers to medicines use, analysis of policy impacts, pharmaco-vigilance and medicines safety, and health outcomes studies using linked State and Commonwealth datasets.
Anna is a former member of the Drug Utilisation Subcommittee of the Pharmaceutical Benefits Advisory Committee and a co-founder of Medicines Use Research Australia.