Clinical Research Directory

Social Equity Data in Primary Care: How Best to Collect Data From Hard-to-Reach Populations

The goal of this clinical trial is to learn whether a community-based outreach approach can improve the collection of social and demographic information in adult primary care patients who may be harder to reach through standard clinic processes. The study focuses on patients who face potential barriers to care, such as limited income, housing instability, language differences, or other social challenges. The main questions it aims to answer are: * Does support from a Community Health Surveyor increase completion of a social and demographic questionnaire compared to usual care? * Does this approach improve participation among patients with social needs or barriers to accessing care? Researchers will compare usual care (standard questionnaire invitation methods) with an enhanced approach that includes proactive outreach and support from a Community Health Surveyor to see if this increases questionnaire completion. Participants will: * Be invited to complete a social and demographic questionnaire as part of routine care * Complete the questionnaire either independently or with support from clinic staff or a Community Health Surveyor (depending on group assignment)

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.

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.