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