[Covid-19: Twin Method for Verifying Real-World Effectiveness Under Everyday Conditions]

Area of Science:

• Health services research
• Clinical trial methodology
• Bayesian statistics

Context:

• The COVID-19 pandemic accelerated the need for rapid health service innovation and evaluation.
• Conditional approval pathways necessitate robust methods for confirming real-world effectiveness.
• Traditional research designs face challenges in evaluating interventions under non-standardized conditions.

Purpose:

• To introduce and describe the Pragmatic Controlled Trial (PCT) as a novel methodology.
• To demonstrate how PCT can assess real-world effectiveness (RWE) of health services.
• To provide a framework for collecting data to support the approval process for innovations.

Summary:

• The Pragmatic Controlled Trial (PCT) is a twin study design utilizing Bayesian principles instead of randomization.
• It allows for unbiased evaluation of health services under real-world, non-standardized conditions by stratifying patient risks and classifying interventions.
• PCT facilitates the collection of necessary data for completing the approval process after conditional approval.

Impact:

• Enables timely confirmation of health service effectiveness, meeting patient demand for rapid solutions.
• Supports conditional approval of innovations by providing a method for ongoing data collection and unbiased evaluation.
• Offers a flexible and controlled study approach adaptable to the complexities of everyday healthcare settings.