Predictive Analytics + Clinical Decision Support for HIV Prevention
(PrEDICT Trial)
Trial Summary
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications.
What data supports the effectiveness of the treatment Predictive Analytics and Clinical Decision Support for HIV Prevention?
Research shows that predictive analytics can help identify HIV patients at risk of dropping out of care, allowing for timely interventions. A machine learning model improved prediction accuracy, flagging high-risk patients more effectively than previous methods, which can help keep patients in care and reduce HIV transmission.12345
Is Predictive Analytics + Clinical Decision Support generally safe for humans?
The research articles focus on improving the identification and prediction of adverse events (unwanted side effects) in medical care, but they do not provide specific safety data for Predictive Analytics + Clinical Decision Support as a treatment. They highlight the importance of accurate adverse event detection to enhance patient safety.678910
How does the Predictive Analytics and Clinical Decision Support treatment for HIV prevention differ from other treatments?
This treatment is unique because it uses machine learning and predictive analytics to identify individuals at high risk of HIV infection, allowing for targeted prevention strategies like pre-exposure prophylaxis (PrEP). Unlike traditional methods, it leverages electronic health records and real-time data to make informed decisions, potentially improving early intervention and reducing HIV transmission.1112131415
What is the purpose of this trial?
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.
Eligibility Criteria
This trial is for healthcare providers at community health centers that saw over 500 patients in 2024, had at least 10 new HIV diagnoses in 2023, and offer primary care services (excluding pediatrics) active on OCHIN Epic since January 1, 2023.Inclusion Criteria
Timeline
Screening
Participants are screened for eligibility to participate in the trial
Intervention
Providers receive point-of-care notifications via the EHR-embedded decision support tool about patients at increased predicted HIV risk
Follow-up
Participants are monitored for PrEP initiation and persistence
Treatment Details
Interventions
- Predictive Analytics and Clinical Decision Support
Find a Clinic Near You
Who Is Running the Clinical Trial?
Harvard Pilgrim Health Care
Lead Sponsor
Oregon Health and Science University
Collaborator
National Institute of Mental Health (NIMH)
Collaborator
Oregon Health & Science University (OHSU)
Collaborator
OCHIN, Inc.
Collaborator