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ENROLLING BY INVITATION
NCT07279376
NA

Evaluating an Algorithm-Based Implementation Strategy to Improve HIV Care Outcomes

Sponsor: Hunter College of City University of New York

View on ClinicalTrials.gov

Summary

This study tests a strategy for helping Care Management Agencies prioritize patients with HIV (PWH) for outreach and support. Under the new strategy, care managers are given a list of highest-priority patients who have been identified by a computer algorithm as being at high risk of going to the emergency room in the next two weeks. This strategy is compared to traditional (standard of care) care management, in which care managers reach out to patients based on a set schedule and their clinical judgement (but not based on a computerized report). We are looking at whether the use of the computer report helps care managers reach the right patients at the right time, preventing them from having to go to the emergency room.

Official title: Harnessing Data Science to Improve HIV Care Continuum Outcomes: A Hybrid Type 2 Trial Evaluating a Machine-Learning Algorithm-Based Implementation Strategy

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

2600

Start Date

2025-11-18

Completion Date

2029-08

Last Updated

2026-01-27

Healthy Volunteers

No

Interventions

OTHER

predictive emergency room alerts (pERA)

pERA is a machine-learning algorithm-driven implementation strategy that identifies patients at higher risk of emergency room visits and alerts the care manager to follow-up with them.

OTHER

Standard of care

Care managers interact with patients according to their standard of care protocols

Locations (1)

Community Care Management Partners Health Home

New York, New York, United States