Clinical Decision Support for PrEP (PrEDICT)

October 3, 2025 updated by: Harvard Pilgrim Health Care

Optimizing EHR-Based Prediction Models to Improve HIV Preexposure Prophylaxis Use in Community Health Centers

Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the federal initiative to end the HIV epidemic. However, healthcare providers lack tools to identify patients who are at increased risk for HIV infection and thus likely to benefit from PrEP. This pilot study will test the hypothesis that an electronic health record (EHR)-based clinical decision support system that incorporates an HIV risk prediction model can help providers identify patients at increased risk for HIV infection and improve PrEP prescribing in safety-net community health centers. The clinical decision support system will be implemented in the EHR at 2-3intervention clinics, while 2 control clinics will receive standard of care. The primary outcome is PrEP prescriptions. Other key metrics of PrEP-related care to be assessed include medication persistence, adherence to monitoring guidelines for PrEP, and rates of HIV/STI testing and diagnoses. The expected outcome is the foundation for a large-scale cluster randomized trial to test whether EHR-based clinical decision support tools for PrEP can improve PrEP prescribing and prevent new HIV infections in a national network of community health centers.

Study Overview

Study Type

Interventional

Enrollment (Estimated)

4

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • Los Angeles, California, United States, 90038
        • Saban Community Clinic
    • North Carolina
      • Ahoskie, North Carolina, United States, 27910
        • Roanoke Chowan Community Health Center
      • Gastonia, North Carolina, United States, 28052
        • Kintegra Health

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

11 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Primary care providers at participating clinics who are licensed to prescribe PrEP

Exclusion Criteria:

  • N/A

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Arm 1 - Standard of care
Standard of care
Two control clinics will be selected based on a set of matching criteria, e.g., urbanity and the sex, race, and age distributions of the patient population. Control clinics will not participate in study activities.
Active Comparator: Arm 2 - Clinical decision support for PrEP
EHR-based decision support tools to support PrEP discussions and prescribing for patients who have increased predicted HIV risk
Healthcare providers at 2 intervention clinics (total of approximately 60 providers anticipated) will be prompted by an EHR-based tool to discuss PrEP with patients whose demographics and clinical history indicate increased predicted HIV risk. Providers will be offered clinical decision support tools to guide sexual health discussions and support PrEP prescribing.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
PrEP prescriptions
Time Frame: 9 months
Number of patients with increased predicted HIV risk who are prescribed PrEP
9 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Feasibility of clinical decision support system
Time Frame: 6 months
Rates at which providers view alerts about patients with increased predicted HIV risk and rates at which providers access the EHR-based decision support tools using Epic date-time stamps
6 months
Acceptability of clinical decision support system
Time Frame: 6 months
One-on-one feedback interviews with clinic administrators and 3-5 providers at intervention clinics
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Julia Marcus, PhD, Harvard Pilgrim Health Care Institute
  • Principal Investigator: Douglas Krakower, MD, Beth Israel Deaconess Medical Center

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 11, 2022

Primary Completion (Estimated)

August 1, 2026

Study Completion (Estimated)

August 1, 2027

Study Registration Dates

First Submitted

January 19, 2022

First Submitted That Met QC Criteria

February 16, 2022

First Posted (Actual)

February 17, 2022

Study Record Updates

Last Update Posted (Estimated)

October 8, 2025

Last Update Submitted That Met QC Criteria

October 3, 2025

Last Verified

September 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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