NCT06655974

Predictive Modeling for Social Needs in Emergency Department Settings

Protocol for Evaluating the Effectiveness of a Clinical Decision Support System With Prediction Modeling to Identify Patients With Health-related Social Needs in the Emergency Department

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 518,512 (actual)
• Sponsor: Indiana University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

The overall objective of this study is to support emergency department management of patients' health-related social needs. This study will measure the impact of a decision support system that informs clinicians about which patients are likely to screen positive for a health-related social need. The system uses statistical models to create a health-related social need risk score for each patient. The main questions, the study aims to answer are: * Does providing emergency department clinicians with risk scores on health-related social needs increase screening and referral activities? * Does providing emergency department clinicians with risk scores on health-related social needs change patients' use of healthcare services? The decision support system with health-related social needs risk scores will be introduced for all adult patients at one emergency department. Screening rates, referrals, and subsequent healthcare encounters will be compared with emergency departments that did not have access to the decision support system.

Conditions

• Emergency Service, Hospital
• Social Determinants of Health

Interventions

Type	Name	Description
OTHER	Health-related social needs decision support system	The clinical decision support intervention will present emergency department clinicians at an Indianapolis, IN ED with a likelihood score for an adult patient screening positive for the following health-related social needs (HRSNs): housing instability, food insecurity, transportation barriers, financial strain, and history of legal involvement. For each HRSN, the likelihood of screening positive is reported as "high", "medium", or "low". These categorizations are the product of logistic regression models. The clinical decision support intervention will be delivered through an existing FHIR (Fast Healthcare Interoperability Resources) standards-based clinical decision support platform.

Timeline

• Start date: 2025-03-10
• Primary completion: 2025-12-01
• Completion: 2025-12-01
• First posted: 2024-10-24
• Last updated: 2026-03-31

Locations

1 site across 1 country: United States