HEAT Webinar Recording- Use of Administrative Data for Measuring Events and Healthcare Use

Biography
Prof Emily Callander is a health economist and health services researcher specialising in maternal, women’s and child health. Emily is a Professor, and Head of Discipline for Health Services Management in the School of Public Health. She leads a Women’s Economics and Value-Based Care research program, externally funded by a number of NHMRC and MRFF grants, which collaborates widely to provide the economic evidence base to guide health service and policy decision-making. This includes undertaking economic evaluation alongside randomised controlled trials, measuring costs and outcomes with real-world linked administrative data, and conducting local-health service level economic modelling. Emily sits on a number of maternal health state government committees; and is a member of the Pharmaceutical Benefits Advisory Committee Economics Subcommittee. Her mission is to improve the equity and efficiency of health services and systems by embedding economic evidence into decision-making.

Abstract
There is a vast volume of data collected as a part of day to day delivery of health services. Due to the activity based funding nature of the Australian health care system, these health data also include detailed information on the health services utilised by patients. Such routine administrative data thus provides many benefits for health economic evaluations that require quantification of health service use. This presentation will illustrate the use of routine health service data as a part of two evaluation activities – one a hospital-level service evaluation, and the other a nation-wide implementation program evaluation. It will cover the benefits and challenges associated with use of administrative data, and the practical steps required to access and utilise such data. This talk will be pitched to those who do not have prior experience with use of health administrative data, and it also will not assume health economics expertise.