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

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-64
SponsorUniversity of Maryland, Baltimore County

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Members of partner health plan aged 18-64

Disqualifiers

None

Trial design

Design model

Parallel

Treatments tested in this trial

  • Social Engagement Support System

    Other intervention

    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.

Treatment groups

249,660 Participants
are divided into 2 treatment groups
Group A: SESS - TreatmentExperimental treatment 1 intervention
Group B: SESS - ControlNo intervention 0 interventions

Trial outcomes

Primary outcomes

1

Change in the prevalence of Health Related Social Needs (HRSNs) as assessed by the Maryland Department of Health HRSN Screening Tool

We will analyze social screening results from individuals in the treatment arm to determine if our system leads to the assessment of individuals with a higher social need profile.

Time frame
From enrollment to 12 months.

Secondary outcomes

1

Change in the proportion of participants who receive social services who have a health-related social need

We will analyze engagement success (i.e., whether a member who was referred to services received assistance from a CBO) using secondary data to determine if our support system increased the likelihood of success.

Time frame
From enrollment to 12 months.

Other outcomes

Sponsors and contacts

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University of Maryland, Baltimore County

Lead sponsor

National Institute on Minority Health and Health Disparities (NIMHD)

Collaborator

This trial is not recruiting at the moment. You can still explore other options: