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NCT05484804RECRUITINGanonymous

Reducing Racial Disparities in Maternal Care Through Data-Based Accountability and Doula Support

Sponsor

Source record

University of North Carolina, Chapel Hill

Phase

Source record

NA

Modality

AI-normalized

RNA therapy

Target

AI-normalized

Reducing racial disparities in maternal care

Indication / condition

AI-normalized

Pregnancy Related

Intervention

Source record

Data Accountability and Transparency, Community-Based Doula (CBD) Support

Source & freshness

Source record

NCT ID

NCT05484804

Original source

ClinicalTrials.gov

Source last updated

Apr 17, 2026

Ingested at

May 30, 2026

Internal sync

Jun 05, 2026

Model version

trialsignal-ai-v1

Normalized confidence

88%

Validation status

validated

Open original registry record
View original source fields

NCT ID

NCT05484804

Title

Reducing Racial Disparities in Maternal Care Through Data-Based Accountability and Doula Support

Sponsor

University of North Carolina, Chapel Hill

Status

RECRUITING

Phase

NA

Condition raw

Pregnancy Related

Condition normalized

Pregnancy Related

Modality raw

Pregnancy Related

Modality normalized

RNA therapy

Target raw

Reducing racial disparities in maternal care

Target normalized

Reducing racial disparities in maternal care

Interventions

Data Accountability and Transparency, Community-Based Doula (CBD) Support

Public preview

Source record

The ACURE4Moms trial, led by the University of North Carolina, aims to address racial disparities in maternal health outcomes, particularly focusing on Black women. The study employs multi-level interventions, including data accountability and community-based doula support, across 39 prenatal practices in North Carolina. The trial is expected to enroll up to 60,000 patients and assess the effectiveness of these interventions on reducing low birthweight deliveries and experiences of discrimination during prenatal care.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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