DISCRETE CHOICE EXPERIMENTS AS A MEASURE OF SOCIAL VALUE AND PREFERENCES- APPLICATION TO POLICY MAKING IN ASIA-PACIFIC

Author(s)

Stephen Goodall, BSC, MSC, PhD, Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia; Ruoyan Gai, PhD, Division of Policy Evaluation, Department of Health Policy and Chief, Division of Health Technology Assessment, Department of Clinical Epidemiology, National Center for Child Health and Development of Japan, Tokyo, Japan; Brendan Mulhern, MRes, Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia

Presentation Documents

ISSUE: The panel will debate whether Discrete Choice Experiments (DCE) methods can be applied to inform health and care service policy planning in different international settings. The panel will consider methodological and practical issues in the use of DCE methods to capture social value and preferences of health and social interventions when being used to generate evidence for policy making, particularly relevant for aggregating social preferences and with non-market services such as the provision of informal care. Timothy Bolt will discuss the practical and methodological advantages and also the limitations of DCEs in health and care service planning. Ruoyan Gai will discuss her experience undertaking a DCE from a public sector perspective. Each panellist will speak for 10-15 minutes, following by a moderated panel discussion and Q&A from the audience. OVERVIEW: Discrete Choice Experiment (DCE) studies are an increasingly used economic tool for eliciting the stated preferences of groups of interest (patients, public, at-risk populations, clinicians, caregivers, etc.). They are expected to play an increasing role in health technology assessment (HTA) in the nations of the Asia-Pacific to offer valuations of clinical & non-clinical factors revealing stakeholder priorities. Additionally, DCE studies offer the strong potential for outcome measurement in economic evaluations, including assessment of health states and utility scores and reporting of trade-offs subjects are willing to make. Health states and health-related utility, as typically measured by quality adjusted life years (QALYs), are dominant tools with wide endorsement by regulatory and health technology assessment (HTA) agencies. The priority trade-offs estimated in the DCE model (including monetary, time, risk, etc.) are also increasingly popular for quantifying the potential benefits of health care policies. The panel and audience will debate the application of DCE to health and care policies, particularly when considering policies affecting of informal care providers within health and care systems.

Conference/Value in Health Info

2018-09, ISPOR Asia Pacific 2018, Tokyo, Japan

Code

IP20

Topic

Health Policy & Regulatory, Patient-Centered Research

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