Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

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Healthcare Disparities

Tundra lists 2 Healthcare Disparities clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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RECRUITING

NCT07261254

Integrating Systems and Basic Income: Improving Outcomes for Families of Young Children

Early childhood is a critical period, laying the foundation for future growth and deveopment. This foundational period has an outsized effect, impacting health, well-being and achievement across one's lifespan. The U.S. lacks a cohesive early childhood system to support families with young children ages 0-5. The goal of this randomized controlled trial(RCT) is to test if community-based support via community health workers(CHWs) improves social and health services utilization, and child development. Furthermore, the trial will examine if income support enhances the impact of a CHW integrated system. Participants are English and Spanish speaking families with healthy newborns. This RCT was designed based on family priorities, community capacity and needs in a collective impact model. This trial is anchored at a university based children's hospital and involves many partners: families, county health, county leadership, a leading early childhood non-profit organization, the county's Medicaid managed care organization.

Gender: All

Ages: 0 Days - Any

Updated: 2026-02-12

1 state

Income
Infant, Newborn
Mothers
+11
ENROLLING BY INVITATION

NCT07257146

Smart-SABI: Digital Phenotyping of Stroke Access Barriers

This study aims to identify and quantify the non-clinical barriers (social, transport, and knowledge-based) that delay patient arrival at the hospital during an Acute Ischemic Stroke. By utilizing a multimodal approach that combines a validated patient questionnaire (SABI Tool), Geographic Information Systems (GIS) analysis, and biological markers (infarct volume), the investigators seek to develop a Machine Learning model capable of predicting high-risk phenotypes for pre-hospital delay. The ultimate goal is to validate "Social Determinants of Health" against objective biological outcomes.

Gender: All

Ages: 18 Years - Any

Updated: 2025-12-02

Stroke
Practice
Healthcare Disparities
+2