Evidence mapPaperPMID 41582222Full record

ArticleTrials2026

Integrating clinical trial data with electronic health records to improve diversity in research: findings from an urban hospital system.

Edward H Brown, Nicholas C Peiper, Stephen Furmanek, Kelly C McCants

Abstract read
In one paragraph

Article in Trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Edward H Brown *Norton Research Institute, Norton Healthcare, Louisville, KY, USA. edward.brown@nortonhealthcare.org.
Nicholas C Peiper *Department of Epidemiology and Population Health, University of Louisville, Louisville, KY, USA.
Stephen FurmanekNorton Research Institute, Norton Healthcare, Louisville, KY, USA.
Kelly C McCantsAdvanced Heart Failure and Recovery Program, Norton Heart and Vascular Institute, Louisville, KY, USA.

Funding

Abbott Laboratories NHF 23-18
6 · The paper itself

Abstract

backgroundUnderrepresentation of racial and ethnic minorities, women, and certain age groups in clinical trials continues to threaten the validity of novel therapeutic interventions and exacerbate longstanding inequities in health outcomes. Despite attention and mandates across institutions and federal agencies to address these disparities, effective and actionable strategies have remained a subject of debate in the existing literature. This study provides preliminary findings from the Advancing Research Through Inclusivity, Sustainability, and Equity (ARISE) Program, a quality improvement initiative to improve representation of racial and ethnic minorities and other underrepresented populations (e.g., women, certain age groups) in clinical trials conducted in an urban hospital system. The primary objective of this study was to examine the racial and ethnic distribution of research participants enrolled in drug and device clinical trials from 2017 to 2024. The secondary objective was to integrate electronic health records and local census data to create benchmarks for comparative purposes.

methodsThis study employed a successive-independent samples design to characterize the demographic distribution of 1767 adult research participants enrolled in a drug or device clinical trial from 2017 to 2024. Demographic data were integrated from electronic health records and summarized overall and by year. The z-test for independent proportions was used to compare the research participant demographics to the overall patient population (N = 2,062,865) and local census (N = 608,210). Effect size estimates were calculated using Cohen's h to determine practically significant differences between research participants, the overall patient population, and local census.

resultsResearch participants were more likely than the patient population to represent older age groups (55-74 years) and White race (83.1% vs 73.1%) but were comparable in terms of ethnicity and biological sex. When compared to local census data, research participants were more likely to represent older age groups, while increases in White participants and decreases in Black participants were observed. There were increases in the proportions of Black and female participants from 2017 to 2024, while White participation decreased. The proportion of Hispanic research participation fluctuated from 2017 to 2024 but remained below census and patient population levels (4.7% and 5.3%, respectively).

conclusionsThe findings from this study will directly inform future strategies of the ARISE Program for setting enrollment goals and creating recruitment metrics that facilitate increased representation of racial and ethnic minorities and other health disparity populations in clinical trials. Future studies should integrate primary and secondary data to take into consideration the eligibility criteria from clinical trials as an additional benchmark comparison when making inferences about diversity and representation.

Indexed as

Clinical Trials as TopicElectronic Health RecordsEthnicityHospitals, UrbanMinority GroupsPatient SelectionResearch SubjectsAdultAgedDiversity, Equity, InclusionFemaleHumansMiddle Aged

Identifiers

PMID41582222
PMCPMC12918157

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.