Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT05991869 |
Other study ID # |
DelSciPrEP 2021 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
June 1, 2021 |
Est. completion date |
October 31, 2022 |
Study information
Verified date |
August 2023 |
Source |
Kaiser Permanente |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Kaiser Permanente Northern California (KPNC) has been a national leader in implementation of
HIV preexposure prophylaxis (PrEP), a daily antiretroviral pill that is more than 99%
effective in preventing HIV acquisition. However, many patients at risk for HIV at KPNC are
not yet using PrEP, resulting in preventable infections each year. In prior work, the study
team developed and validated a prediction model that used electronic health record (EHR) data
from 3.7 million KPNC members to identify patients at high risk of HIV acquisition but not
using PrEP. The model substantially outperformed models based only on CDC criteria for PrEP
use, particularly for Black patients, a population with high HIV incidence and lower PrEP
uptake. The objective of this proposal is to evaluate the feasibility of implementing this
EHR-based model at the point of care to increase PrEP referrals and uptake at KPNC. The
specific aims of this project are to 1) conduct provider focus groups to identify barriers
and facilitators to PrEP referrals and to optimize the delivery mechanism of our clinical
decision support intervention, 2) evaluate the feasibility and acceptability of a clinical
decision support intervention for primary care providers (PCPs) to increase PrEP referrals
and uptake among high-risk patients, and 3) assess patient- and provider-based
characteristics associated with PrEP referrals and uptake. To accomplish these aims, the
study team proposes a randomized controlled trial of a clinical decision support intervention
for PrEP, which involves alerting KP San Francisco (KPSF) Adult and Family Medicine PCPs
about patients identified by our prediction model as being at high risk for HIV acquisition
prior to in-person clinic visits. We will compare PrEP referrals and uptake among patients
who are seen by PCPs randomized to intervention and usual care study arms using an
intention-to-treat analysis.
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.