Using data to reduce hospital stays and improve health for people with HIV
Data science and epidemiology to improve health of people with HIV
['FUNDING_R01'] · UNIV OF NORTH CAROLINA CHAPEL HILL · NIH-11230227
This project will build tools that use medical and social information to predict and help prevent hospital stays for people living with HIV.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF NORTH CAROLINA CHAPEL HILL (nih funded) |
| Locations | 1 site (CHAPEL HILL, UNITED STATES) |
| Trial ID | NIH-11230227 on ClinicalTrials.gov |
What this research studies
If you live with HIV, researchers will analyze hospital records, medical histories, and social factors to understand why people like you are hospitalized. They will create and test a standardized way to label the causes of each hospital stay and look for patterns over time and across different groups. Then they will build a risk score that combines HIV health measures, other medical and mental-health conditions, and social determinants to identify who is most likely to need hospitalization. The goal is to use those findings to guide supports and care changes that could help prevent hospital stays and keep you healthier.
Who could benefit from this research
Good fit: People living with HIV who receive care within the participating health systems, especially those with prior hospitalizations or multiple medical, mental-health, or social-risk factors, are the primary focus.
Not a fit: People without HIV or those not receiving care in the collaborating health systems or without accessible medical records are unlikely to directly benefit from this project.
Why it matters
Potential benefit: If successful, this work could help prevent hospitalizations and improve long-term health for people living with HIV by targeting support to those at highest risk.
How similar studies have performed: Related risk-score and data-driven approaches have shown promise in other chronic diseases and some HIV work, but combining standardized cause adjudication with social determinants for hospitalization prediction is relatively novel.
Where this research is happening
CHAPEL HILL, UNITED STATES
- UNIV OF NORTH CAROLINA CHAPEL HILL — CHAPEL HILL, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: NAPRAVNIK, SONIA — UNIV OF NORTH CAROLINA CHAPEL HILL
- Study coordinator: NAPRAVNIK, SONIA
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.
Conditions: Acquired Immune Deficiency Syndrome, Acquired Immune Deficiency Syndrome Virus, Acquired Immunodeficiency Syndrome, Acquired Immunodeficiency Syndrome Virus