P-508. Opportunities for Prep Prescription At Two Urban Academic Healthcare Institutions

Abstract Background Pre-exposure prophylaxis (PrEP) use for HIV prevention remains unequal across groups vulnerable to HIV. Reasons for inequalities include both individual and healthcare level factors. We sought to understand opportunities for prescribing PrEP at two urban academic healthcare institutions in Chicago, Illinois. Methods We analyzed electronic medical record data from both institutions including persons >18 years of age with >1 negative HIV test between 1/1/2015-12/31/2021 who had indications for PrEP. Data included demographics, social history, medications, sexually transmitted infections (STI), and encounters. Indications for PrEP included STI with gonorrhea, chlamydia, and/or active syphilis infection or injection drug use (IDU). Eligible encounters were those within six months after an STI, or as long as IDU was documented. We categorized encounters as inpatient, emergency department (ED), primary care, infectious disease (ID), obstetrics and gynecology/women’s health (OBGYN) and other outpatient settings. Results In total, 9644 persons contributed 53031 encounters that resulted in 941 people with PrEP prescriptions. The two healthcare institutions had differing patient demographics, institution A had more 18-24 year olds (58.3% vs 31.3%), more African Americans (83.8% vs 27.9%), and more women (65.7% vs 46.3%). Institution B had more White (40.6% vs 7.1%) and Hispanic persons (14.0% vs 4.2%), and more men who have sex with men (MSM) (15.2% vs 3.3%). Institution A had more eligible encounters in the ED (30.8% vs 7.3%) as well as in infectious disease, inpatient, OBYGN, and primary care settings. Institution B had more eligible encounters in other outpatient settings (67.7% vs 18.7%). Institution B accounted for the majority of PrEP prescriptions (89.1%). Conclusion Institution A contained persons historically underrepresented in PrEP prescriptions, while institution B had more encounters in other outpatient settings where ]PrEP prescriptions commonly occur. These factors are likely to be responsible for our findings. Future work will examine associations between these factors and the likelihood of PrEP prescriptions in a combined as well as institution specific models. Disclosures Jessica Ridgway, MD, Gilead Sciences: Expert Testimony Moira McNulty, MD, Gilead Sciences, Inc.: Advisor/Consultant

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.707
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-508. Opportunities for Prep Prescription At Two Urban Academic Healthcare Institutions

Moira McNulty, Jessica P. Ridgway, Joseph A. Mason, Matthew Caputo et al.
Open Forum Infectious Diseases
Pharmaceutical Practices and Patient Outcomes
article

P-508. Opportunities for Prep Prescription At Two Urban Academic Healthcare Institutions

Moira McNulty, Jessica P. Ridgway, Joseph A. Mason, Matthew Caputo, Chad J. Achenbach
article en

Abstract

Abstract Background Pre-exposure prophylaxis (PrEP) use for HIV prevention remains unequal across groups vulnerable to HIV. Reasons for inequalities include both individual and healthcare level factors. We sought to understand opportunities for prescribing PrEP at two urban academic healthcare institutions in Chicago, Illinois. Methods We analyzed electronic medical record data from both institutions including persons >18 years of age with >1 negative HIV test between 1/1/2015-12/31/2021 who had indications for PrEP. Data included demographics, social history, medications, sexually transmitted infections (STI), and encounters. Indications for PrEP included STI with gonorrhea, chlamydia, and/or active syphilis infection or injection drug use (IDU). Eligible encounters were those within six months after an STI, or as long as IDU was documented. We categorized encounters as inpatient, emergency department (ED), primary care, infectious disease (ID), obstetrics and gynecology/women’s health (OBGYN) and other outpatient settings. Results In total, 9644 persons contributed 53031 encounters that resulted in 941 people with PrEP prescriptions. The two healthcare institutions had differing patient demographics, institution A had more 18-24 year olds (58.3% vs 31.3%), more African Americans (83.8% vs 27.9%), and more women (65.7% vs 46.3%). Institution B had more White (40.6% vs 7.1%) and Hispanic persons (14.0% vs 4.2%), and more men who have sex with men (MSM) (15.2% vs 3.3%). Institution A had more eligible encounters in the ED (30.8% vs 7.3%) as well as in infectious disease, inpatient, OBYGN, and primary care settings. Institution B had more eligible encounters in other outpatient settings (67.7% vs 18.7%). Institution B accounted for the majority of PrEP prescriptions (89.1%). Conclusion Institution A contained persons historically underrepresented in PrEP prescriptions, while institution B had more encounters in other outpatient settings where ]PrEP prescriptions commonly occur. These factors are likely to be responsible for our findings. Future work will examine associations between these factors and the likelihood of PrEP prescriptions in a combined as well as institution specific models. Disclosures Jessica Ridgway, MD, Gilead Sciences: Expert Testimony Moira McNulty, MD, Gilead Sciences, Inc.: Advisor/Consultant

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Northwestern University (US), University of Chicago (US), Northwestern Memorial Hospital (US)
Openalex Percentile: Top 98%
Pharmaceutical Practices and Patient Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.