Event Details

Date: Postponed — new dates to be announced soon.

Time: 10:00 AM - 12:30 PM Please note session times are in Australian Eastern Standard Time (AEST).

Venue: Online event via Zoom

Cost: $300 per person (including GST) | A 20% discount is available for full time students and not-for-profit employees. Please select the StudentNFP ticket option at the ticket checkout to receive the discount.

RSVP: A maximum of 40 participants can register for this workshop and will be allocated on a first come first served basis.

Click here to read the Registration Terms & Conditions

Click here to register

This event has been postponed. New dates TBA.

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.

Session times

  • Session one: Friday 30 July: 10:00am-12:30pm
  • Session two: Friday 13 August: 10:00am-12:30pm

Please note session times are in Australian Eastern Standard Time (AEST).

Who should attend?

This course will be of interest to researchers, policymakers and health service/program planning teams new to working with MBS and PBS data. The course is designed for those planning to use the Sax Institute’s 45 and Up Study or similar for linked data research and those interested in driving policy and practice change.


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.

About the presenter

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.


For more information please contact Sian Rudge.

E: sian.rudge@saxinstitute.org.au