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Published on: August 4, 2018
New IPECAD Open-Source Model Framework for the Health Technology Assessment of Early Alzheimer's Disease Treatment:
Ron Handels1, William L Herring2, Sabine Grimm3
1Alzheimer Center Limburg, Faculty of Health Medicine and Life Sciences, Mental Health and Neuroscience Research Institute, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands; Division of Neurogeriatrics, Department of Neurobiology Care Sciences and Society Karolinska Institutet BioClinicum J9:20, Solna, Sweden.
The new International Pharmaco-Economic Collaboration on Alzheimer's Disease (IPECAD) open-source model offers transparent economic evaluations for Alzheimer's disease treatments. This validated framework aids in cross-validating models and assessing treatment uncertainties for reimbursement decisions.
Area of Science:
- Health economics
- Pharmacoeconomics
- Alzheimer's disease research
Background:
- Economic evaluations are crucial for Alzheimer's disease (AD) treatment reimbursement.
- Transparency and credibility in these evaluations are enhanced by open-source, cross-validatable models.
- The International Pharmaco-Economic Collaboration on Alzheimer's Disease (IPECAD) developed an open-source model framework (version 2) for early AD treatment economic evaluation.
Purpose of the Study:
- To describe the IPECAD open-source model framework (version 2).
- To utilize the model for cross-validation against existing economic models.
- To perform uncertainty analyses relevant to early AD treatment evaluations.
Main Methods:
- Developed a cohort state-transition model replicating a reference model for internal validity.
- Implemented features from Institute for Clinical and Economic Review (ICER) and Alzheimer's Disease Archimedes Condition-Event Simulator (AD-ACE) models for cross-validation.
- Conducted uncertainty analyses on efficacy outcomes, disease progression, treatment waning, and stopping rules. The model is available as R code, spreadsheet, and web version.
Main Results:
- The IPECAD model yielded smaller incremental life-years, QALY gains, and cost savings compared to ICER (21-31% less) and AD-ACE (36-56% less) models.
- IPECAD model results showed particular sensitivity to assumptions regarding treatment effect waning, stopping rules, and the choice of efficacy outcome from trials.
Conclusions:
- The IPECAD open-source model framework enables cross-validation of Health Technology Assessment submission models.
- It facilitates additional uncertainty analyses, promoting open science in AD decision modeling.
- The framework supports informed reimbursement decisions for new Alzheimer's disease treatments.
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