Related Experiment Video
Updated: Oct 23, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Enrollment, retention, and strategies for including disadvantaged populations in randomized controlled trials: a
Abigail LaPlante1,2, Renata W Yen1, Talia Isaacs3
1The Dartmouth Institute for Health Policy & Clinical Practice, Dartmouth College, Williamson Translational Research Building, Level 5, 1 Medical Center Drive, Lebanon, NH, 03756, USA.
Background:
Many randomized controlled trials fail to reach their target sample size. When coupled with the omission and underrepresentation of disadvantaged groups in randomized controlled trials, many trials fail to obtain data that accurately represents the true diversity of their target population. Policies and practices have been implemented to increase representation of disadvantaged groups in many randomized controlled trials, with some trials specifically targeting such groups. To our knowledge, no systematic review has quantified the enrollment metrics and effectiveness of inclusion and retention strategies in randomized controlled trials focused on disadvantaged populations specifically.
Methods:
We will conduct a systematic search across EMBASE, MEDLINE, Web of Science, and CINAHL as well as grey literature, conference proceedings, research monographs, and Google Scholar from inception onwards. We will include randomized controlled trials where at least 50% of enrolled participants are considered to be disadvantaged, as per the RCT authors' definition and in line with our inclusion criteria. Two independent researchers per article will conduct preliminary title and abstract screening, subsequent full text review, and data extraction for the selected trials, with a third reviewer available to resolve conflicts. We will assess the quality of all included studies using specific criteria regarding data reporting, external validity, and internal validity. We will combine all selected studies and conduct a narrative synthesis to assess enrollment metrics. If there is sufficient homogeneity and sufficient trials comparing recruitment strategies within disadvantaged populations, we will conduct a random effects meta-analysis to evaluate the effectiveness of strategies designed to maximize the inclusion of disadvantaged populations in randomized controlled trials.
Discussion:
The findings of this systematic review will establish baseline recruitment and enrollment metrics of trials targeting disadvantaged populations to elucidate the scope of the challenge of recruiting such populations. We hope that our findings will promote future research on the distinct barriers that may prevent disadvantaged populations from participating in health intervention research, will encourage more trials exploring effective, tailored recruitment strategies, and will establish a foundation to track future progress in the recruitment of disadvantaged populations.
Trial Registrations:
PROSPERO ID: CRD42020152814.
Insights
This systematic review will quantify enrollment metrics and the effectiveness of strategies used to include disadvantaged populations in randomized controlled trials. Findings will highlight recruitment challenges and inform future research for better health equity.
Area of Science:
- Clinical Trials
- Health Disparities Research
- Systematic Review Methodology
Background:
- Many randomized controlled trials (RCTs) fail to meet sample size targets, leading to underrepresentation of diverse populations.
- Disadvantaged groups are often omitted or underrepresented in RCTs, limiting the generalizability of findings.
- Existing policies aim to improve representation, but their effectiveness in RCTs targeting disadvantaged populations is not systematically reviewed.
Purpose of the Study:
- To systematically review and quantify enrollment metrics in RCTs focused on disadvantaged populations.
- To evaluate the effectiveness of inclusion and retention strategies for disadvantaged groups in RCTs.
- To establish baseline data for tracking progress in recruiting diverse populations for health research.
Main Methods:
- Systematic literature search across multiple databases (EMBASE, MEDLINE, Web of Science, CINAHL) and grey literature.
- Inclusion of RCTs where at least 50% of participants are defined as disadvantaged.
- Data extraction and quality assessment by two independent reviewers, with narrative synthesis and potential meta-analysis of recruitment strategies.
Main Results:
- This section is to be filled after the study's completion.
- Anticipated results include baseline recruitment and enrollment metrics for trials targeting disadvantaged populations.
- The review will identify common barriers and effective strategies for including these populations.
Conclusions:
- Findings will elucidate the scope of challenges in recruiting disadvantaged populations for health intervention research.
- The study aims to promote research on tailored recruitment strategies and improve health equity in clinical trials.
- Establishes a foundation for monitoring future improvements in the recruitment of underrepresented groups.
More Related Videos
04:53A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Related Concept Videos
Randomized Experiments
Simple randomization
Simple...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Blinding
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Clinical Trials: Overview