Predictive Analytics and Clinical Decision Support to Improve PrEP Prescribing

Running, not enrolling · Not applicable

Conditions studied: HIV

In brief

Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the U.S. initiative to end the HIV epidemic, but healthcare providers lack tools to support PrEP discussions and prescribing for patients likely to benefit. This research will evaluate whether integrating automated tools into electronic health records to help providers efficiently and equitably identify potential candidates for PrEP, discuss PrEP, and prescribe PrEP can improve PrEP initiation and persistence in safety-net community health centers. It will achieve this by conducting a stepped-wedge trial of a decision support tool with an embedded HIV prediction model to identify patients likely to benefit from PrEP. The intervention will be delivered to healthcare providers in 16 community health centers within the national OCHIN network.

Key facts

Study ID
NCT06805877
Run by
Harvard Pilgrim Health Care
People needed
16
Starts
2025-04-21
Expected to finish
2030-07-01
Last updated by the study team
2025-04-24

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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