Demographic Clinical Trial Diversity Assessment Methods: Use of Real-World Data

Authors

• Hua Chen
• Nnadozie Emechebe
• Sudeep Karve
• Leon Raskin
• Jailene Leal
• Ning Cheng
• Wendy Sebby
• Kim Ribeiro
• Samuel Crawford

Language

English

Publication Date

4-1-2025

Journal

Contemporary Clinical Trials Communications

DOI

10.1016/j.conctc.2025.101432

PMID

39990602

PMCID

PMC11847083

PubMedCentral® Posted Date

1-10-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Diversity in clinical trials is defined by the inclusion of clinical trial participants from various demographic groups that are representative of the broader population impacted by a disease state. Diversity in clinical trials is critical in identifying potential differences in safety and efficacy of treatments across races, ethnicities, ages, sexes, or other variables. In the United States, clinical trial diversity is often benchmarked against US Census data, which may limit the representativeness of patient demographics in clinical trials. Disease-specific, demographic estimates from real-world data (RWD) can facilitate benchmarking of clinical trials, support trial enrollment and the development of trial diversity plans. Notably, development and dissemination of these estimates from RWD can be challenging without a standardized process. To address this issue, we developed a new evaluation framework to assess patient demographics and characteristics within specific disease populations using RWD and disease population estimates. Suitable databases were identified using predefined criteria such as accessibility to patient-level data, availability of all demographic variables of interest, sufficient sample size of the disease population, and availability of population weights to enhance generalizability. Concurrent data were gathered via targeted literature reviews for each disease condition. Together, this data was used to create disease-specific, demographic estimate profiles to inform diverse enrollment goals for prospective clinical trials. We present two examples of application of this framework to illustrate the results in the case of two disease states, rheumatoid arthritis and stroke.

Keywords

Clinical trial diversity, Real-world data, RWD, Disease population, Health equity, Diversity plan, Benchmarking

Published Open-Access

yes

Recommended Citation

Chen, Hua; Emechebe, Nnadozie; Karve, Sudeep; et al., "Demographic Clinical Trial Diversity Assessment Methods: Use of Real-World Data" (2025). Children’s Nutrition Research Center Staff Publications. 417.
https://digitalcommons.library.tmc.edu/staff_pub/417