The Development, Implementation, and Evaluation of a Social Engagement Support System

Part of paid clinical trials in Baltimore, Maryland.

Sponsor
University of Maryland, Baltimore County
Study ID
NCT06913049
Status
Not Yet Recruiting

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Conditions

  • Social Determinants of Health (SDOH)

Eligibility Criteria

Sex
ALL
Age
18 Years - 64 Years
Healthy Volunteers
Accepted

Interventions

  • Social Engagement Support System — OTHER
    In this protocol, we will develop and deploy a set of machine learning models that use multiple individual- and community-level data sources to predict which members use the emergency department to fulfill social or non-urgent needs as opposed to treatment for urgent medical conditions. These models will identify individuals whose social needs are driving inappropriate utilization so that high-risk individuals will be given enhanced outreach services to facilitate completion of a comprehensive social needs assessment. We will also develop and deploy an engagement support system that identifies and displays the characteristics of members that prevent them from engaging with a Community Based Organization (CBO). This system will use artificial intelligence techniques to identify characteristics of individuals who have historically disengaged from the social service pipeline before receiving social services and suggest potential strategies for increasing engagement.

Study Details

The goal of this clinical trial is to determine if artificial intelligence and machine learning (AI/ML) models can help address social needs in Medicaid enrollees. The main questions it aims to answer are: Can AI/ML models accurately identify social needs from administrative healthcare data? Can AI/ML models accurately predict which people will engage with social supports? Researchers will compare individuals who live in different regions to see if AI/ML models perform better than the status quo.

Key Dates

Start date
Jun 30, 2026
Status verified
Apr 2026
Primary completion
May 31, 2028
Completion
Apr 30, 2029

Study Design

Enrollment
249,660 participants (estimated)
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE

Arms

  • Experimental: SESS - Treatment
    This arm will receive care coordination resources supported by our Social Engagement Support System, including the triage of screening outreach based on predicted risk of an unmet social need and engagement support to decrease like likelihood of dropout from the social services workflow.
  • No Intervention: SESS - Control
    This arm will receive no intervention.

Primary Outcome Measure

Change in the prevalence of Health Related Social Needs (HRSNs) as assessed by the Maryland Department of Health HRSN Screening Tool [ Time Frame: From enrollment to 12 months. ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
University of Maryland, Baltimore CountyBaltimoreMaryland21250
Ian Stockwell, PhD
[email protected]
410-455-8424

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By research site
University of Maryland, Baltimore County· Baltimore, MD

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