R01MD018523
Project Grant
Overview
Grant Description
A multilevel, multiphase optimization strategy for PREP: patients and providers in primary care - what we know: There are 1.2 million people in the US who meet the indications for PREP; yet, disparities exist in uptake. For example, only 9% of black and 16% of Latino individuals, compared to 65% of white individuals, have been prescribed PREP. At Henry Ford Health (HFH) System, only 10% of eligible patients have been prescribed PREP.
Primary care is an ideal setting for PREP to be offered as an HIV prevention method since providers see large numbers of patients who are HIV negative, with some who are at increased risk for HIV, and the primary care setting is often the point of entry to the healthcare system.
The multiphase optimization strategy (MOST) framework is a novel, innovative way to identify an efficient intervention.
What we will do: In this optimization trial, we will test the effectiveness of intervention components, alone and in combination, on new PREP prescriptions in primary care at HFH. First, we will generate feedback on context-specific (system and individual level) factors for intervention component delivery via focus groups with providers (N=15) and patients eligible for PREP (N=30). Then, we will test the four intervention components in an optimization trial, with 16 conditions being implemented at 32 clinics. Finally, we will generate feedback on the factors that affected implementation via semi-structured interviews with providers (N=30) and patients (N=30).
Participants will be primary care providers (PCPs) and patients eligible for PREP in Henry Ford Health System. Clinics will be randomized (yes/no) to receive any combination of provider and patient intervention components. Provider intervention components include computer-based simulation training and/or best practice alerts delivered via the electronic health record (EHR). Patient intervention components include HIV risk assessment and/or PREP informational video – both delivered via the EHR.
Primary outcome is the rate of new PREP prescriptions at the clinic level. Secondary outcomes will include PREP maintenance, number of HIV tests ordered by a PCP, and number of PCPs trained. Sub analyses will test which factors moderate (e.g., patient sex, race, age, gender, sexual orientation) or mediate (e.g., perceived HIV risk, provider and patient PREP knowledge) PREP uptake, focusing on priority populations and disparities in rates of PREP prescription.
Implications: 1) Understanding which intervention components lead to increased PREP prescriptions will represent an important advance in HIV prevention efforts. 2) Optimizing a multi-level intervention for providers and patients to increase PREP prescriptions would lead to a new, efficient, evidence-based option. 3) Determining what factors are related to PREP uptake will help reduce disparities in PREP initiation among those most in need. 4) Understanding the context specific factors related to intervention component implementation will help identify best methods for replication/adaptation in other healthcare systems.
In sum, our team brings a novel, innovative approach, robust interdisciplinary experience, strong preliminary work in HIV, PREP, MOST, and primary care, and scientific rigor to make a significant impact on the field.
Primary care is an ideal setting for PREP to be offered as an HIV prevention method since providers see large numbers of patients who are HIV negative, with some who are at increased risk for HIV, and the primary care setting is often the point of entry to the healthcare system.
The multiphase optimization strategy (MOST) framework is a novel, innovative way to identify an efficient intervention.
What we will do: In this optimization trial, we will test the effectiveness of intervention components, alone and in combination, on new PREP prescriptions in primary care at HFH. First, we will generate feedback on context-specific (system and individual level) factors for intervention component delivery via focus groups with providers (N=15) and patients eligible for PREP (N=30). Then, we will test the four intervention components in an optimization trial, with 16 conditions being implemented at 32 clinics. Finally, we will generate feedback on the factors that affected implementation via semi-structured interviews with providers (N=30) and patients (N=30).
Participants will be primary care providers (PCPs) and patients eligible for PREP in Henry Ford Health System. Clinics will be randomized (yes/no) to receive any combination of provider and patient intervention components. Provider intervention components include computer-based simulation training and/or best practice alerts delivered via the electronic health record (EHR). Patient intervention components include HIV risk assessment and/or PREP informational video – both delivered via the EHR.
Primary outcome is the rate of new PREP prescriptions at the clinic level. Secondary outcomes will include PREP maintenance, number of HIV tests ordered by a PCP, and number of PCPs trained. Sub analyses will test which factors moderate (e.g., patient sex, race, age, gender, sexual orientation) or mediate (e.g., perceived HIV risk, provider and patient PREP knowledge) PREP uptake, focusing on priority populations and disparities in rates of PREP prescription.
Implications: 1) Understanding which intervention components lead to increased PREP prescriptions will represent an important advance in HIV prevention efforts. 2) Optimizing a multi-level intervention for providers and patients to increase PREP prescriptions would lead to a new, efficient, evidence-based option. 3) Determining what factors are related to PREP uptake will help reduce disparities in PREP initiation among those most in need. 4) Understanding the context specific factors related to intervention component implementation will help identify best methods for replication/adaptation in other healthcare systems.
In sum, our team brings a novel, innovative approach, robust interdisciplinary experience, strong preliminary work in HIV, PREP, MOST, and primary care, and scientific rigor to make a significant impact on the field.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
East Lansing,
Michigan
488242600
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Termination This project grant was reported on the Department of Government Efficiency (DOGE) partial or complete termation list as of its last report October 2025. See All
Amendment Since initial award the End Date has been extended from 03/31/28 to 06/30/28 and the total obligations have increased 284% from $796,636 to $3,059,978.
Amendment Since initial award the End Date has been extended from 03/31/28 to 06/30/28 and the total obligations have increased 284% from $796,636 to $3,059,978.
Michigan State University was awarded
Optimizing PREP Uptake in Primary Care: A Multilevel Intervention Strategy
Project Grant R01MD018523
worth $3,059,978
from National Institute for Minority Health and Health Disparities in September 2023 with work to be completed primarily in East Lansing Michigan United States.
The grant
has a duration of 4 years 9 months and
was awarded through assistance program 93.307 Minority Health and Health Disparities Research.
The Project Grant was awarded through grant opportunity Multi-Level HIV Prevention Interventions for Individuals at the Highest Risk of HIV Infection (R01 Clinical Trial Optional).
Status
(Ongoing)
Last Modified 6/22/26
Period of Performance
9/22/23
Start Date
6/30/28
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01MD018523
Transaction History
Modifications to R01MD018523
Additional Detail
Award ID FAIN
R01MD018523
SAI Number
R01MD018523-1651193746
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NE00 NIH National Insitute on Minority Health and Healh Disparities
Funding Office
75NE00 NIH National Insitute on Minority Health and Healh Disparities
Awardee UEI
NH77YPDEGG84
Awardee CAGE
9CWB0
Performance District
MI-07
Senators
Debbie Stabenow
Gary Peters
Gary Peters
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute on Minority Health and Health Disparities, National Institutes of Health, Health and Human Services (075-0897) | Health research and training | Grants, subsidies, and contributions (41.0) | $796,636 | 100% |
Modified: 6/22/26