Journal article
Examining the Impact of Structural Uncertainty Across 10 Type 2 Diabetes Models: Results From the 2022 Mount Hood Challenge
J Altunkaya, X Li, A Adler, T Feenstra, A Fridhammar, MJ Keng, M Lamotte, P McEwan, A Nilsson, AJ Palmer, J Quan, H Smolen, A Tran-Duy, W Valentine, M Willis, J Leal, P Clarke
Value in Health | ELSEVIER SCIENCE INC | Published : 2024
Abstract
Objectives: The Mount Hood Diabetes Challenge Network aimed to examine the impact of model structural uncertainty on the estimated cost-effectiveness of interventions for type 2 diabetes. Methods: Ten independent modeling groups completed a blinded simulation exercise to estimate the cost-effectiveness of 3 interventions in 2 type 2 diabetes populations. Modeling groups were provided with a common baseline population, cost and utility values associated with different model health states, and instructions regarding time horizon and discounting. We collated the results to identify variation in predictions of net monetary benefit (NMB) and the drivers of those differences. Results: Overall, mod..
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Funding Acknowledgements
James Altunkaya (Doctoral Research Fellow, NIHR302342) is funded by the National Institute for Health and Care Research (NIHR) for this research project. Jose Leal, Amanda Adler, and Philip Clarke are funded by the NIHR Oxford Biomedical Centre. The views expressed in this publication are those of the author (s) and not necessarily those of the NIHR, NHS, or the UK Department of Health and Social Care. An Tran-Duy is supported by the Methods and Implementation Support for Clinical and Health research Hub.