HTA Distance Education

Maimon Research is developing a range of low cost, focused distance education packages for a global audience in health technology assessment (HTA). These packages are designed to revitalize HTA through a focus on accurate measurement. The central theme is that without a commitment to the axioms of representational measurement theory, HTA cannot fully engage in the evolution of objective knowledge for therapeutic impact assessments over a product’s lifespan.

Representational measurement theory stresses that measurement involves assigning numbers to attributes based on qualitative relations and operations among a set of objects, ensuring that these assignments reflect the structure of the empirical system. This theory provides a formal framework for understanding how numerical representations can correspond to empirical observations, which is crucial for the validity of assessments in HTA. Without this foundation, HTA often relies on assumption‑driven modeled simulations that generate non‑evaluable and imaginary claims, frequently culminating in constructs like QALYs (quality-adjusted life years) that lack scientific validity.

In the context of HTA, accurate measurement is essential for evaluating the value and impact of health interventions. However, many healthcare interventions are complex, posing challenges to conventional HTA methods. A scoping review has highlighted the need for HTA approaches that can accommodate the complexity of interventions, including the identification of appropriate assessment criteria and types of evidence. By integrating the principles of representational measurement theory into HTA practices, Maimon Research aims to enhance the objectivity and reliability of therapeutic impact assessments. This integration is expected to support evidence-informed policymaking by providing more accurate and meaningful evaluations of health technologies throughout their lifecycle. . Through this initiative, Maimon Research seeks to contribute to the advancement of HTA methodologies and promote the adoption of rigorous measurement standards in health technology evaluations.

The core emphasis is on accurate measurement—asserting that unless HTA fully embraces the axioms of representational measurement theory, it cannot participate meaningfully in the evolution of objective knowledge regarding therapeutic impact assessments throughout the lifespan of healthcare products.

The proposed packages from Maimon Research aim to equip learners, whether policymakers, analysts, or health technology developers, with the theoretical foundations and practical tools to assess HTA claims critically. They will learn to distinguish between hypothesis‑testing, falsifiable claims and mere assumption‑driven speculation; to reject multi‑attribute measurement models lacking interval properties; and to construct value claims supported by explicit assessment protocols and transparency. By placing measurement theory at the heart of HTA practice, Maimon Research seeks to revitalize the discipline, restoring a commitment to normal science and forging clearer, empirically anchored pathways for formulary submissions and therapy evaluation.

In doing so, Maimon Research’s vision is to catalyze a shift in HTA away from a decades-long reliance on flawed, simulated constructs toward a more robust, scientifically defensible framework. The educational packages reflect this vision by fostering the development of evaluable, scientifically credible assessments of therapeutic impact, rooted in representational measurement theory and Rasch modeling, ensuring that HTA can truly contribute to the objective evolution of knowledge in health technology evaluation.