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Measuring Representativeness in Clinical Trials.

Allen Sanyi1,2, Samuel Byiringiro3, Sanaz Dabiri4

  • 1Department of Medicine (A.S.), Emory University School of Medicine, Atlanta, GA.

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|February 3, 2025
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Summary
This summary is machine-generated.

Measuring representativeness in clinical trials is crucial for equitable research. While no single method is perfect, a multifaceted approach can improve diversity, equity, inclusion, and belonging (DEIB) in trials.

Keywords:
clinical trialsdiversity, equity, inclusion, and belongingpatient recruitmentracial and ethnic minorities

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Area of Science:

  • Clinical Trials
  • Health Equity
  • Research Methodology

Background:

  • Representativeness in clinical trials is vital for external validity, equitable access to research, and public trust.
  • Quantifying representativeness is a key step towards achieving diversity, equity, inclusion, and belonging (DEIB) in clinical research.
  • Traditional underrepresentation of certain groups in trials necessitates robust measurement strategies.

Purpose of the Study:

  • To explore various quantitative methods for measuring representativeness in randomized clinical trials.
  • To assess the strengths and weaknesses of different approaches for evaluating trial participant demographics.
  • To inform stakeholders on selecting appropriate metrics for assessing and improving DEIB in clinical research.

Main Methods:

  • Review of proposed methods for measuring trial representativeness, including participation-to-prevalence ratio and enrollment fractions.
  • Analysis of the utility of different quantitative measures based on stakeholder needs and trial contexts.
  • Consideration of potential unintended consequences of using quantitative representativeness targets.

Main Results:

  • Multiple methods exist to measure representativeness, each with limitations.
  • The participation-to-prevalence ratio is useful for trials with well-defined demographics.
  • A combination of enrollment fractions and demographic reporting offers a more nuanced view of representativeness.

Conclusions:

  • No single method comprehensively addresses DEIB in all clinical trials.
  • A carefully designed, multifaceted approach to measuring representativeness is recommended.
  • Quantitative measures can guide efforts to increase diversity in clinical trial participation when used thoughtfully.