- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05991869
Leveraging Electronic Health Record Data in a Risk Prediction Model to Increase HIV PrEP Intake in Primary Care
Randomized Trial Leveraging Electronic Health Record Data in a Risk Prediction Model to Increase HIV PrEP Uptake in Primary Care.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Design This is a randomized controlled trial among PCPs at KPSF to evaluate the feasibility of implementing a decision support intervention for PrEP and its impact on PrEP referrals and uptake among patients predicted to be at high risk for incident HIV infections. Aim 1 will consist of focus groups with PCPs to identify barriers and facilitators to PrEP referrals and to optimize the intervention. After first testing the proposed study intervention with two PCPs in each study arm, Aim 2 will compare PrEP referrals and uptake between members who are seen by PCPs randomized to intervention and usual care study arms. Aim 3 will evaluate provider- and patient-based factors associated with PrEP referrals and uptake among patients in the intervention arm. The trial will randomly allocate PCPs at KP San Francisco to one of two arms: 1) intervention arm that includes clinical decision support for PrEP referrals prior to visits scheduled with patients flagged as high-risk by the prediction model, or 2) usual care, with an estimated 50 PCPs in each arm. Eligible PCPs will be contacted by the study team prior to enrollment and given an opportunity to opt out of participating in this study. PCPs randomized to the usual care arm will not receive the clinical decision support intervention. The intervention will be conducted over 8 months.
Setting. KPNC is a large healthcare delivery system that provides integrated pharmacy, laboratory, and medical care to more than a third of insured individuals in California. KPSF has been chosen as the study site given the disproportionate burden of HIV in this KPNC service area. At KPSF, there are 121 Adult and Family Medicine (AFM) PCPs serving approximately 189,000 patients.
Subjects. The study team will recruit 10-15 PCPs each from the two KPSF clinical sites in San Francisco prior to randomization. Providers will be recruited at routine staff meetings and through email invitations for a one-time, 60- minute, audio-recorded focus group. The study team will assess what information PCPs would like to have included in the clinical decision support tool. Recognizing that time constraints are a barrier to all healthcare interventions, we will seek feedback from PCPs regarding their preferences for intervention delivery and timing, as well as their perceptions of facilitators and barriers to acting on the intervention. Open-ended questions will minimize bias and allow for unanticipated themes to emerge.
Randomization. PCPs who meet study criteria and do not opt-out will be randomized to one of the two study arms in a 1:1 ratio. There are 12 providers who care for both HIV-infected and uninfected patients, and allocation of this subset of providers will be balanced between the trial arms. To ensure this, the study team will use simple randomization to assign the 13 PCPs who care for both HIV-infected and uninfected patients to intervention or usual care and then use simple randomization again to assign the remaining 109 PCPs.
Specificity of the prediction model. The prediction model acts as a screening test to be followed by a provider's clinical evaluation. The study team expects that some patients with scores indicating an elevated risk for HIV acquisition will not have clinical indications for PrEP. The relationship between PCPs and patients is critical given the sensitive nature of sexual health discussions. In addition, prior to initiation of treatment with PrEP, patients will attend visits where a member of the dedicated KPSF PrEP team (NP or MD) will assess HIV risk and discuss PrEP indications, follow-up, side effects, and contraindications.
Scalability of the intervention outside KPNC. Even if the intervention is successful within KPNC, other health settings outside KPNC will need to adopt technology solutions to update risk scores, automate lists of patients with elevated risk scores, identify eligible appointments, and successfully deliver interventions to providers. While the study team's robust model that included 44 EHR variables provided the greatest predictive value for incident HIV, simpler models that included only a handful of key variables also improved identification of patients who may benefit from PrEP. The study results will provide a roadmap for successful implementation at other institutions, even if technology and EHR resources are more limited.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
California
-
Oakland, California, United States, 94612
- Kaiser Permanente Northern California Division of Research
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Primary care provider at Kaiser Permanente San Francisco Medical Center
- Provide primary care to adult patients
- more than 150 people without HIV on their primary care physician panel.
Exclusion Criteria:
-
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention
|
PCPs notified by EHR messages if they had an upcoming in-person or video visit with an eligible patient who had a predicted risk of incident HIV diagnosis of 0.2% or higher.
Study team members manually sent messages marked as "high priority" one business day prior to scheduled visits, alerting PCPs that a patient may be at increased risk for acquiring HIV and may benefit from a conversation about PrEP.
Additional information was provided about the study, the prediction model, clinical indications for PrEP, strategies for initiating discussions about HIV prevention and PrEP, and how to refer patients to KPSF's PrEP program.
Messages did not include the numeric predicted HIV risk from the model.
PCPs received a maximum of two messages per day; with the two patients with the highest predicted risk were selected.
Patient with multiple visits were flagged no more than once monthly.
|
|
No Intervention: Usual Care
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cumulative risk (%) of linkage to PrEP
Time Frame: Within 90 days after PrEP referral.
|
linkage to PrEP care within 90 days of the first encounter, defined as first of following: PrEP discussion (ICD-10 Z29.8), referral (measured by PrEP referrals and appointments booked through e-consult, a provider-to-provider community platform embedded in the EHR ), or prescription fill for emtricitabine coformulated with tenofovir disoproxil fumarate or with tenofovir alafenamide
|
Within 90 days after PrEP referral.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cumulative risk (%) of PrEP Prescription fill only
Time Frame: Within 90 days after first encounter
|
PrEP prescription fill within 90 days of the first encounter defined as pharmacy fills for emtricitabine coformulated with tenofovir disoproxil fumarate or with tenofovir alafenamide
|
Within 90 days after first encounter
|
|
Cumulative risk (%) of HIV Testing
Time Frame: within 90 days of first encounter
|
Physician orders for HIV testing
|
within 90 days of first encounter
|
|
Cumulative risk (%) of STI Testing
Time Frame: within 90 days of first encounter
|
Physician orders for any testing for bacterial STIs, including chlamydia, gonorrhea, or syphilis
|
within 90 days of first encounter
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- DelSciPrEP 2021
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Pre-Exposure Prophylaxis
-
Penn State UniversityCompleted
-
Fenway Community HealthHarvard UniversityCompletedPre-Exposure ProphylaxisUnited States
-
Anupama Raghuram MDGilead Sciences; University of LouisvilleNot yet recruiting
-
University of GeorgiaNational Institute of Mental Health (NIMH)Not yet recruitingHIV Pre-exposure ProphylaxisUnited States
-
Duke UniversityGilead SciencesRecruitingHIV Prevention | HIV Pre-exposure Prophylaxis | HIV Prevention Program | HIV Prevention and Care | HIV Pre-exposure Prophylaxis UseUnited States
-
Massachusetts General HospitalBrigham and Women's HospitalNot yet recruitingHIV Pre-exposure Prophylaxis UseUnited States
-
University of MichiganNational Institute of Mental Health (NIMH)Enrolling by invitationHIV Prevention | Pre-Exposure Prophylaxis (PrEP)United States
-
University of Illinois at ChicagoNational Institute of Nursing Research (NINR)Active, not recruitingSex Work | Pre-Exposure ProphylaxisUnited States
-
Medstar Health Research InstituteCompletedPre-Exposure ProphylaxisUnited States
-
Indiana UniversityCompletedPre-Exposure ProphylaxisUnited States
Clinical Trials on Point-of-care decision support intervention
-
MetroWest Artificial Intelligence Research WorkgroupNot yet recruitingSepsis | Shock | Critical Illness | Acute Kidney Injury | Delirium Confusional State | Multi-organ Failure | Acute Respiratory Failure (ARF)United States
-
University College, LondonNot yet recruitingLocalised Prostate Cancer
-
Children's Hospital of PhiladelphiaAgency for Healthcare Research and Quality (AHRQ)Completed
-
National Taipei University of Nursing and Health...Tri-Service General HospitalCompletedChronic Renal DiseaseTaiwan
-
University of North Carolina, Chapel HillNational Institute on Aging (NIA)CompletedDementiaUnited States
-
The Aurum Institute NPCLondon School of Hygiene and Tropical Medicine; Johns Hopkins University; United... and other collaboratorsCompleted
-
dr.Frank L.J. VisserenZonMw: The Netherlands Organisation for Health Research and DevelopmentRecruitingShared-decision Making | Atherosclerotic Cardiovascular DiseasesNetherlands
-
US Department of Veterans AffairsCompleted
-
University of MichiganNational Institute of Nursing Research (NINR)Completed
-
University of PittsburghThe Beckwith InstituteCompletedBrain Injury | Infant | Clinical Decision SupportUnited States