OP07 Real World Evidence: How Can It Improve Health Technology Assessment?

Abstract

Introduction:

Health Technology Assessment (HTA) considers the question of whether evaluated technologies are cost-effective in real world settings. As observed in HTA conducted by the Australian Medical Services Advisory Committee (MSAC), questions regarding the validity of data inputs to economic analyses that reflect real-world practice is a common reason for uncertainty on the cost effectiveness of new technologies. In addition to resource use and costs, there may be other uncertainties regarding the eligible patient population, patient management pathways and comparator selection. Our objective in this study was to present case studies from Australia where real world linked datasets could be better utilized to inform HTA conducted by the MSAC.

Methods:

For selected therapy areas, assessment reports and public summary documents of HTA conducted by the MSAC published between January 2015 and November 2017 were reviewed. Our analysis identified HTAs where uncertainties around the inputs for health economic evaluations, as well as uncertainties in defining eligible patient numbers or current patient pathways of care were shown to exist. We then explored whether these uncertainties could have been addressed through real world linked datasets.

Results:

Our preliminary investigations identified two assessments: MSAC assessment of capsule endoscopy and transcatheter aortic valve implantation - where availability of real world linked data could have addressed uncertainties around the inputs required for the health economic evaluations.

Conclusions:

Australia has a range of real world datasets with the potential to be used to inform HTA conducted by the MSAC. This can only be achieved if the datasets could be better linked and accessible for use by key stakeholders in the MSAC HTA process (e.g. industry, clinician, patient societies). Use of these data sets in HTA will enable timelier patient access to cost-effective technologies and more effective implementation and review of technologies after adoption into clinical practice.