Improving PrEP prescribing in community health centers using predictive analytics
Predictive Analytics and Clinical Decision Support to Improve PrEP Prescribing in Community Health Centers (PrEDICT)
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 type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard Pilgrim Health Care, INC. NIH-funded |
| Lab location | 1 site (Canton, UNITED STATES) |
| Project ID | NIH-10923913 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: Patients who are not at risk for HIV or those who are already receiving effective HIV prevention measures may not benefit from this research.
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 performed: 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
Canton, UNITED STATES
- 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.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.