NIH-funded research R01 grant

Improving PrEP prescribing in community health centers using predictive analytics

Official title: Predictive Analytics and Clinical Decision Support to Improve PrEP Prescribing in Community Health Centers (PrEDICT)

Funded at Harvard Pilgrim Health Care, INC. · NIH-10923913 · Data updated 2026-11-12

This study is working to make it easier for Black and Latino/a/x individuals at risk for HIV to get information and access to a preventive medication called PrEP, by helping doctors identify who might benefit from it and encouraging conversations about sexual health.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionHarvard Pilgrim Health Care, INC.
NIH-funded
Lab location1 site (Canton, UNITED STATES)
Project startSeptember 6, 2023
Project endJuly 31, 2028
Funding year2024
Award (this year)$643,511
NIH project number5R01MH133515-02
Project IDNIH-10923913 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are Black, Latino/a/x, and uninsured individuals who are at increased risk for HIV and may benefit from PrEP.

Less likely to help

Patients who are not at risk for HIV or those who are already receiving effective HIV prevention measures may not benefit from this research.

What this research studies

This research aims to enhance the prescribing of pre-exposure prophylaxis (PrEP) for HIV prevention among underserved populations, particularly Black and Latino/a/x individuals. By utilizing predictive analytics and machine learning on electronic health records, the project seeks to identify patients at high risk for HIV and facilitate discussions about PrEP with healthcare providers. The study will involve community health centers, where providers often face challenges in recognizing suitable candidates for PrEP and discussing sexual health. The goal is to create decision support tools that can help overcome these barriers and improve patient access to PrEP.

Why it matters

Potential benefit: If successful, this research could significantly increase the uptake of PrEP among high-risk populations, thereby reducing new HIV infections.

How similar studies have gone: Previous research has shown success in using electronic health records and machine learning to identify at-risk patients for HIV, indicating a promising approach for this project.

Where this research is happening

  • Harvard Pilgrim Health Care, INC.
    Canton, United States
    Active

Researchers

  • Principal investigator: Marcus, Julia L. — Harvard Pilgrim Health Care, INC.
  • Study coordinator: Marcus, Julia L.

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.