Evidence map›Paper›PMID 39543751›Full record

ArticleTrials2024

Supporting diversity in clinical trials: the equitable breakthroughs in medicine site maturity model.

Tesheia Harris, Marcella Nunez-Smith, Sakinah C Suttiratana, Samantha L Fretz, Savannah Leonard, Erika Linnander, Leslie A Curry, and the EQBMED Network Partners

Abstract read
In one paragraph

Article in Trials, 2024. 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. Article
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

8 authors.

Tesheia HarrisDepartment of Internal Medicine, Yale Center for Clinical Investigation, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0009-0002-0675-8771
Marcella Nunez-SmithDepartment of Internal Medicine, Equity Research and Innovation Center, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-2797-4756
Sakinah C SuttiratanaDepartment of Internal Medicine, Equity Research and Innovation Center, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-9775-7736
Samantha L FretzGlobal Health Leadership Initiative, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA.ORCID http://orcid.org/0009-0009-4600-5628
Savannah LeonardDepartment of Internal Medicine, Equity Research and Innovation Center, Yale School of Medicine, New Haven, CT, USA.
Erika LinnanderGlobal Health Leadership Initiative, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0002-3417-1049
Leslie A CurryGlobal Health Leadership Initiative, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA. leslie.curry@yale.edu.ORCID http://orcid.org/0000-0002-3419-4654
and the EQBMED Network Partners

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundAmong the most powerful barriers to broader inclusion of diverse participants in clinical trials are social determinants of health, trustworthiness of health care providers and research institutions, and competing pressures on potential participants. Nevertheless, current tools to assess organizational capabilities for clinical trial diversity focus primarily on trial infrastructure, rely solely on quantitative self-reported data, and lack meaningful assessment of capabilities related to community engagement.

methodsThe Equitable Breakthroughs in Medicine (EQBMED) initiative developed a holistic, collaborative, site-driven formative model and accompanying assessment to catalog sites' current capabilities and identify opportunities for growth in both conducting industry-sponsored clinical trials and enriching diversity of those trials. The model builds upon prior work and reflects unification of two historically distinct components-research operations and community engagement-since sustainable clinical trial diversity efforts must overcome these silos. Here we present the methodology we used to develop the model and accompanying assessment, describe how findings can support clinical trial diversity efforts, and report findings from early field testing at three U.S. sites.

resultsThe first three sites were diverse in size (e.g., < 250-1 K beds), with varying levels of clinical trial capabilities and community engagement. The maturity assessment laid the foundation for sites to identify and prioritize key areas to advance clinical trial diversity capabilities, and each has made tangible progress. In parallel to completing the assessment with these early sites to understand their maturity and set actionable goals, we also collected their feedback on content validity (e.g., clarity, comprehensiveness, terminology) and feasibility (e.g., ability to collect needed information and data, time required). We describe refinements made to improve the assessment and streamline the process. The EQBMED program will deploy the assessment across various site types (e.g., FQHCs, safety net hospitals) and make further refinements as warranted.

conclusionsStrategic investment in clinical trial diversity requires structured assessment of site maturity as a starting point for collaborative action. We propose the EQBMED maturity model as a first step toward informing efforts to increase representation of diverse populations in clinical research.

Indexed as

Clinical Trials as TopicCultural DiversityPatient SelectionCooperative BehaviorCultural CharacteristicsHumansModels, OrganizationalMulticenter Studies as TopicResearch SubjectsUnited StatesClinical trial diversityCommunity engagementMaturity assessment model

Identifiers

PMID39543751
PMCPMC11566401

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.