What will be the role of health economics in the future EU HTA?
Feb 13, 2023
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Katrin Kupas and Jen Min-Hua discuss the role of health economics in EU HTA, the influence of joint clinical assessment on economic modeling, the need for pre-specification of statistical analyses, and the importance of statisticians having a broader perspective in health economics.
Understanding the influence of joint clinical assessment on economic modeling is crucial for statisticians in the EU HTA process.
Statisticians in the HTA field need to collaborate with various stakeholders and strike a balance between statistical rigor and practicality.
Deep dives
Introduction to the Podcast Episode
In this podcast episode, Alexander Shart and Benjamin P. Skitt discuss the importance of economic models and health economics in the context of the European Health Technology Assessment (HTA) process. They are joined by guests Katrin and Manuel, who share their expertise in the field. The podcast emphasizes the significance of European HTA, not only for Europe but also for other countries such as the US, Japan, Canada, and Australia.
Understanding Economic Models and Their Purpose
Health economic modeling is used to evaluate and guide decision makers in allocating their healthcare budgets effectively. It involves comparing different health interventions and determining their cost-effectiveness relative to one another. Economic models capture data on costs, efficacy, safety, and quality of life to inform the decision-making process. The models are commonly implemented in platforms like Microsoft Excel and allow for the evaluation of different health states and transition probabilities, summarizing costs and benefits to determine incremental cost-effectiveness ratios.
Challenges in Economic Modeling and Peculiarities of European HTA
Constructing economic models for HTA presents various challenges. One major hurdle is the need for network meta-analysis to obtain treatment effects across multiple compounds. This requires addressing issues related to population, comparisons, and outcomes. The PECO framework, which defines the population, interventions, comparators, and outcomes of interest, plays a crucial role in HTA. Estimand also contributes to the analysis, specifying the estimands for different parts of the drug development process. Furthermore, pre-specification is vital in HTA analysis, ensuring transparent and well-defined analysis methods that avoid data dredging and support regulatory approval.
The Role of Statisticians and the Importance of Collaboration
Statisticians play a key role in economic modeling and HTA, requiring collaboration with various stakeholders. Early involvement in the study design phase helps address payer needs and ensure appropriate analysis methods are employed. Statisticians need to understand the different requirements of HTA and regulatory authorities and strike a balance between statistical rigor and practicality. Collaborating with market access and commercial colleagues is crucial for understanding the background and making informed decisions. Curiosity, broad knowledge, and good collaborative skills are essential for statisticians in the HTA field.
The EU HTA will not only affect all statisticians in the pharmaceutical industry with respect to skill sets and collaboration (we talked about that in podcast #3), but will also have an impact on the economic modeling that is needed for the reimbursement and pricing decisions in many European countries. Understanding the influence of the joint clinical assessment on economic modeling, the relationship between estimands and PICOs as well as the pre-specification of statistical analyses and their use in economic modeling is becoming much more important for statisticians in the near future.
In this episode, we will talk about the role of economic modeling in the HTA process, and the influence of the EU HTA, and the corresponding statistical analyses on that process.
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