Mount Hood
Diabetes Health Economics Conference
in Clinical Decision Making 2024

23-24 November 2024  |  Hong Kong

Welcome Message

Dear faculty and delegates,

The Mount Hood, Diabetes Challenge Network, has been running a diabetes health economics and computer simulation modelling conference bi-annually since 1999. It is dedicated to promoting an exchange of ideas and information between developers and potential users of diabetes health economic and simulation models. The Mount Hood Challenge conference focuses on economic aspects of diabetes and its complications. The challenges are developed collectively by an international group of researchers engaged in development of diabetes simulation models for health economic evaluation.

This year's Asian Mount Hood Challenge conference aims to foster inter-disciplinary communication and knowledge exchange on health economics models and their application in the field of diabetes in Asia. In this Hong Kong Mount Hood Conference, we aim to bring together experts from the field especially those from Asia Pacific to share their work, provide training and foster collaborations to promote the implementation of health economics in addressing the challenges of diabetes and related non-communicable diseases. Through workshops, presentations and dialogues, the conference encourages collaborations, sharing of insights, and the development of evidence-based strategies to improve healthcare outcomes in the Asian context. The conference will cover topics on challenges in long-term policy formulation, reimbursement strategies, patient preferences, and sustainable solutions to tackle the diabetes pandemic.

Our intended participants include individuals involved in the development and/or utilization of diabetes outcome models, as well as those with an interest in staying updated on the latest research concerning health economics and patient-reported outcomes in the field of diabetes. This includes but are not limited to professionals from various sectors such as medical practitioners, allied care professionals, administrators, insurers, healthcare financiers, policymakers, as well as postgraduate students and fellows with an interest in data modelling and analytics.


Best regards,


Philip Clarke, Juliana Lui and Juliana Chan

Objectives

At the end of the conference, it is expected that participants will achieve the following objectives:

• Acquire knowledge about the existing or ongoing development of various models related to diabetes outcomes

• Gain insights in the principles and methodologies involved in modelling and conducting cost-effectiveness analyses

• Explore how these models can potentially contribute to precision prediction, prevention, and care within the healthcare field

• Apply the findings of these models in practical settings to assist patients, healthcare providers, and payors in making informed decisions

• Encourage collaborations in health economic evaluations, particularly diabetes modelling, across the Greater Bay area, Asia Pacific and Western regions

• Identify challenges and solutions for implementing health economic evaluations in Asia

• Stay informed about the most recent research in health economics and patient-reported outcomes specific to diabetes in Asia Pacific

HK

Organizing Committees

International Committees


James Altunkaya, University of Oxford, United Kingdom

Tran-Duy An, University of Melbourne, Australia

Philip Clarke, University of Oxford, United Kingdom

Josh Knight, Statistically Speaking, Australia

Jose Leal, University of Oxford, United Kingdom

Lee-Ling Lim, University of Malaya, Malaysia 

Phil McEwan, Health Economics and Outcomes Research Ltd, United Kingdom

Andrew Palmer, University of Tasmania, Australia

Michael Willis, The Swedish Institute for Health Economics, Sweden

Local Committees


Juliana Chan, The Chinese University of Hong Kong, Hong Kong

Elaine Chow, The Chinese University of Hong Kong, Hong Kong

Eric Lau, The Chinese University of Hong Kong, Hong Kong

Juliana Lui, The Chinese University of Hong Kong, Hong Kong

Jianchao Quan, The University of Hong Kong, Hong Kong

Haipeng Xiao, Sun Yat Sen University, Guangzhou

Joyce You, The Chinese University of Hong Kong, Hong Kong

Jenny Zhang, China National Health Development Research Center, Beijing

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