A Review of the Evolving Landscape of Inclusive Research and Improved Clinical Trial Access

Clin Pharmacol Ther. 2023 Mar;113(3):518-527. doi: 10.1002/cpt.2832. Epub 2023 Jan 26.

Abstract

Current clinical research does not reflect the diversity of patient populations, despite continued recommendations to increase enrollment of under-represented racial and ethnic groups. The ramifications of this lack of trial diversity are important because of potential differences between races and ethnicities in response to therapies, which have been observed for drugs across indications. Nonrepresentative research populations limit the generalizability of study results, which may lead to questions about safety and efficacy in certain subgroups of patients and hinder regulators, healthcare providers, and patients in their ability to adequately consider the benefits and risks of a therapeutic treatment across all populations. Renewed efforts to address healthcare disparities and increase diversity in clinical trials have demonstrated that inclusive trials are achievable and can provide scientifically rigorous results, and, thus, should stimulate greater action across all stakeholders. Ensuring that studies throughout the clinical development process include representative populations is a scientific imperative to advance health equity, racial justice, and trust in the safety and efficacy of medical therapies. This article reviews the long-standing lack of diversity and barriers to enrollment of diverse and representative populations in clinical trials, outlines the current evolving trial landscape and the efforts of stakeholders, and provides examples from scientifically rigorous inclusive trials. The goal is to share learnings in a wider context of opportunities to enhance diversity, equity, and inclusion in clinical development while ensuring the safety and efficacy of medical therapies in all populations of patients, and in doing so, provide wider patient access to therapeutic treatments.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Ethnicity*
  • Humans
  • Motivation
  • Racial Groups*