Current issues and future research priorities for health economic modelling across the full continuum of Alzheimer's disease
de Reydet de Vulpillieres, F
Alzheimer's and Dementia
Elsevier for Alzheimer's Association
Reason for embargo
Available data and models for the health-economic evaluation of treatment in Alzheimer's disease (AD) have limitations causing uncertainty to decision makers. Forthcoming treatment strategies in preclinical or early AD warrant an update on the challenges associated with their economic evaluation. The perspectives of the co-authors were complemented with a targeted review of literature discussing methodological issues and data gaps in AD health-economic modelling. The methods and data available to translate treatment efficacy in early disease into long-term outcomes of relevance to policy makers and payers are limited. Current long-term large-scale data accurately representing the continuous, multifaceted, and heterogeneous disease process are missing. The potential effect of disease-modifying treatment on key long-term outcomes such as institutionalization and death is uncertain but may have great effect on cost-effectiveness. Future research should give priority to collaborative efforts to access better data on the natural progression of AD and its association with key long-term outcomes.
This research was funded by Novartis Pharma AG.
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.
Vol. 13, pp. 312 - 321
Place of publication