Enhancing confidence in complex health technology assessments by using real-world evidence: highlighting existing strategies for effective drug evaluation
Alison Antoine, Katia Desroziers, Julien Dupin, David Pérol, Rémy Choquet

TL;DR
This paper explores how real-world evidence can complement clinical trials to improve the evaluation of new therapies and enhance healthcare decision-making.
Contribution
The paper proposes a categorization of complex clinical situations and provides methodological guidance for using real-world evidence in drug evaluations.
Findings
A categorization of complex clinical situations was proposed to guide the use of real-world evidence.
Recommendations were made to improve data quality, methodology, and transparency in real-world evidence studies.
Collaboration between stakeholders was highlighted as essential for effective drug evaluation using real-world data.
Abstract
Randomised controlled trials (RCTs) are the gold standard for evaluating new therapies but have limitations, notably in terms of external validity. Real-world data (RWD) studies could complement RCT evidence. However, a consensus has not yet been reached on situations where RWD could offer rigorous complementary evidence to an RCT when evaluating the effectiveness of therapeutic innovations. This research aims to: (1) propose a categorisation of complex clinical situations; (2) classify the real-world evidence (RWE) approaches to be used in each situation to help reduce uncertainties or provide further evidence in drug benefit assessments; (3) summarise the best methodological considerations to adopt when using these RWE approaches; and (4) propose general recommendations to increase confidence in the use of RWE approaches during the assessment process. The main recommendations within…
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Taxonomy
TopicsHealth Systems, Economic Evaluations, Quality of Life · Advanced Causal Inference Techniques · Statistical Methods in Clinical Trials
