Related Experiment Video
Updated: Jul 2, 2025
14:43
A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
11.8K
A framework for evaluating the diversity of clinical trials
Foluso Agboola1, Abigail C Wright1
1Institute for Clinical and Economic Review (ICER), Boston, MA, 02108, USA.
Journal of Clinical Epidemiology
|February 23, 2024
Summary
A new Clinical trial Diversity Rating (CDR) framework offers a standardized method to assess and enhance participant diversity in medical research. This tool aims to improve representation across various demographic groups in clinical trials.
Area of Science:
- Clinical trial methodology
- Health equity research
- Evidence-based medicine
Background:
- Improving diversity in clinical trials is crucial for evidence-based medicine.
- Current methods for evaluating clinical trial diversity lack uniformity.
- Standardized evaluation is needed to guide improvements in trial demographics.
Purpose of the Study:
- To introduce and describe the development of the Clinical trial Diversity Rating (CDR) framework.
- To outline considerations for evaluating demographic diversity in clinical trials.
- To demonstrate the application of the CDR framework with an example.
Main Methods:
- A four-step development process was employed.
- Included a scoping review of 110 publications on clinical trial diversity.
- Incorporated a cross-sectional study and advisory group feedback.
Main Results:
- Race/ethnicity, sex, and age are common diversity metrics.
- Most studies defined evaluation benchmarks, but few used disease prevalence (48%).
- The CDR framework integrates demographic characteristics, benchmarks, and thresholds for an overall rating.
Conclusions:
- The CDR framework offers an objective and transparent method for evaluating clinical trial diversity.
- Applicable to Health Technology Assessment bodies, regulators, policymakers, and researchers.
- Aims to facilitate examination, monitoring, and improvement of diversity in clinical trials.
Related Concept Videos
01:16Clinical Trials
6.7K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
6.7K
01:12Statistical Software for Data Analysis and Clinical Trials
550
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
550
01:20Study Designs in Epidemiology
217
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
217
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
126
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
126
01:29Bias in Epidemiological Studies
268
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
268
01:15Study Design in Statistics
8.1K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.1K