Author
Listed:
- Ting Zhao
(University of Tasmania)
- Michelle Tew
(University of Melbourne)
- Talitha Feenstra
(University of Groningen
National Institute for Public Health and the Environment (RIVM))
- Pieter Baal
(Erasmus University Rotterdam)
- Michael Willis
(The Swedish Institute for Health Economics)
- William J. Valentine
(Ossian Health Economics and Communications)
- Philip M. Clarke
(University of Oxford
University of Melbourne)
- Barnaby Hunt
(Ossian Health Economics and Communications)
- James Altunkaya
(University of Oxford)
- An Tran-Duy
(University of Melbourne
University of Melbourne)
- Richard F. Pollock
(Covalence Research Ltd)
- Samuel J. P. Malkin
(Ossian Health Economics and Communications)
- Andreas Nilsson
(The Swedish Institute for Health Economics)
- Phil McEwan
(Health Economics and Outcomes Research Ltd.)
- Volker Foos
(Health Economics and Outcomes Research Ltd.)
- Jose Leal
(University of Oxford)
- Elbert S. Huang
(The University of Chicago)
- Neda Laiteerapong
(University of Chicago)
- Mark Lamotte
(Th(is)2Modeling)
- Harry Smolen
(Medical Decision Modeling Inc.)
- Jianchao Quan
(University of Hong Kong
University of Hong Kong)
- Luís Martins
(Th(is)2Modeling)
- Mafalda Ramos
(Th(is)2Modeling)
- Andrew J. Palmer
(University of Tasmania)
Abstract
Objective This study leveraged data from 11 independent international diabetes models to evaluate the impact of unrelated future medical costs on the outcomes of health economic evaluations in diabetes mellitus. Methods Eleven models simulated the progression of diabetes and occurrence of its complications in hypothetical cohorts of individuals with type 1 (T1D) or type 2 (T2D) diabetes over the remaining lifetime of the patients to evaluate the cost effectiveness of three hypothetical glucose improvement interventions versus a hypothetical control intervention. All models used the same set of costs associated with diabetes complications and interventions, using a United Kingdom healthcare system perspective. Standard utility/disutility values associated with diabetes-related complications were used. Unrelated future medical costs were assumed equal for all interventions and control arms. The statistical significance of changes on the total lifetime costs, incremental costs and incremental cost-effectiveness ratios (ICERs) before and after adding the unrelated future medical costs were analysed using t-test and summarized in incremental cost-effectiveness diagrams by type of diabetes. Results The inclusion of unrelated costs increased mean total lifetime costs substantially. However, there were no significant differences between the mean incremental costs and ICERs before and after adding unrelated future medical costs. Unrelated future medical cost inclusion did not alter the original conclusions of the diabetes modelling evaluations. Conclusions For diabetes, with many costly noncommunicable diseases already explicitly modelled as complications, and with many interventions having predominantly an effect on the improvement of quality of life, unrelated future medical costs have a small impact on the outcomes of health economic evaluations.
Suggested Citation
Ting Zhao & Michelle Tew & Talitha Feenstra & Pieter Baal & Michael Willis & William J. Valentine & Philip M. Clarke & Barnaby Hunt & James Altunkaya & An Tran-Duy & Richard F. Pollock & Samuel J. P. , 2024.
"The Impact of Unrelated Future Medical Costs on Economic Evaluation Outcomes for Different Models of Diabetes,"
Applied Health Economics and Health Policy, Springer, vol. 22(6), pages 861-869, November.
Handle:
RePEc:spr:aphecp:v:22:y:2024:i:6:d:10.1007_s40258-024-00914-z
DOI: 10.1007/s40258-024-00914-z
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