ArticlePharmacoEconomics2024
A Blueprint for Multi-use Disease Modeling in Health Economics: Results from Two Expert-Panel Consultations.
Article in PharmacoEconomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Assessing cost-effectiveness in oncology treatment sequences: a review of pathway modeling methods for health technology assessment.International journal of technology assessment in health care · 2026Review
- A conceptual health economic modelling framework to assess the cost-effectiveness of molecular target-driven treatment regimens in oncology.Acta oncologica (Stockholm, Sweden) · 2026Article
- Model-Based Economic Analyses of Haemophilia from a Societal Perspective: A Scoping Review.PharmacoEconomics - open · 2026Review
- State-transition and simulation-based modeling approaches for simulating the progression of dental caries: a scoping review.Frontiers in oral health · 2026Review
- Model-based cost-effectiveness studies in nuclear medicine: an unavoidable fact of life.European journal of nuclear medicine and molecular imaging · 2025Article
- Development and validation of a type 2 diabetes model to estimate the cost-effectiveness of diabetes interventions across the care continuum.International journal of technology assessment in health care · 2025Article
- Challenges in the Assessment of a Disease Model in the NICE Single Technology Appraisal of Tirzepatide for Treating Type 2 Diabetes: An External Assessment Group Perspective.PharmacoEconomics · 2024Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundThe current use of health economic decision models in HTA is mostly confined to single use cases, which may be inefficient and result in little consistency over different treatment comparisons, and consequently inconsistent health policy decisions, for the same disorder. Multi-use disease models (MUDMs) (other terms: generic models, whole disease models, disease models) may offer a solution. However, much is uncertain about their definition and application. The current research aimed to develop a blueprint for the application of MUDMs.
methodsWe elicited expert opinion using a two-round modified Delphi process. The panel consisted of experts and stakeholders in health economic modelling from various professional backgrounds. The first questionnaire concerned definition, terminology, potential applications, issues and recommendations for MUDMs and was based on an exploratory scoping review. In the second round, the panel members were asked to reconsider their input, based on feedback regarding first-round results, and to score issues and recommendations for priority. Finally, adding input from external advisors and policy makers in a structured way, an overview of issues and challenges was developed during two team consensus meetings.
resultsIn total, 54 respondents contributed to the panel results. The term 'multi-use disease models' was proposed and agreed upon, and a definition was provided. The panel prioritized 10 potential applications (with comparing alternative policies and supporting resource allocation decisions as the top 2), while 20 issues (with model transparency and stakeholders' roles as the top 2) were identified as challenges. Opinions on potential features concerning operationalization of multi-use models were given, with 11 of these subsequently receiving high priority scores (regular updates and revalidation after updates were the top 2).
conclusionsMUDMs would improve on current decision support regarding cost-effectiveness information. Given feasibility challenges, this would be most relevant for diseases with multiple treatments, large burden of disease and requiring more complex models. The current overview offers policy makers a starting point to organize the development, use, and maintenance of MUDMs and to support choices concerning which diseases and policy decisions they will be helpful for.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.