An innovative tool to prioritize the assessment of investigational COVID-19 therapeutics: A pilot project

Lizanne Béïque1, Savannah Clarke1, Mina Azad1

  • 1Infectious Diseases and Vaccination Programs Branch, Public Health Agency of Canada, Ottawa, ON.

Abstract

Insights

A new Rapid Scoring Tool (RST) was developed to prioritize investigational COVID-19 therapeutics. This systematic tool efficiently ranks potential treatments, aiding public health decision-making during the pandemic.

Area of Science:

  • Public Health
  • Infectious Disease Research
  • Drug Development

Background:

  • The COVID-19 pandemic spurred the emergence of numerous investigational therapeutics.
  • Situational awareness of this rapidly evolving landscape posed a significant challenge for public health agencies.
  • A need existed for a tool to triage and prioritize the assessment of these novel therapeutics.

Purpose of the Study:

  • To develop and validate a tool for identifying and prioritizing investigational COVID-19 therapeutics.
  • To establish an efficient, systematic, and reliable process for preliminary therapeutic assessment.
  • To create a practical tool that could be validated, implemented, and updated.

Main Methods:

  • Conducted a literature search for existing COVID-19 therapeutic assessment prioritization tools.
  • Developed the Rapid Scoring Tool (RST) based on identified criteria and ranking methods.
  • Implemented a universal scoring scale (-10 to 10) for therapeutic characteristics to generate an overall benefit score.

Main Results:

  • No pre-existing tools specifically ranked investigational COVID-19 therapeutics for assessment prioritization.
  • The RST was developed incorporating eight criteria and a universal scoring scale.
  • The RST demonstrated a systematic, reliable, and practical approach to ranking therapeutics.

Conclusions:

  • Phase 1 of the RST pilot project was successfully completed.
  • The RST offers unique features, including its scoring scale and ability to handle incomplete data.
  • The RST framework is adaptable for use in other dynamic intervention scenarios.

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