Using Electronic Health Records to Improve HIV Preexposure Prophylaxis Care: A Randomized Trial.

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BACKGROUND

Preexposure prophylaxis (PrEP) use remains limited and inequitable, and strategies are needed to improve PrEP provision in primary care.

METHODS

We conducted a cluster randomized trial at Kaiser Permanente, San Francisco, to evaluate the effectiveness of a clinical decision support intervention guided by an electronic health record (EHR)-based HIV risk prediction model to improve PrEP provision. Primary care providers (PCPs) were randomized to usual care or intervention, with PCPs who provide care to people with HIV balanced between arms. PCPs in the intervention arm received an EHR-based staff message with prompts to discuss HIV prevention and PrEP before upcoming in-person or video visits with patients whose predicted 3-year HIV risk was above a prespecified threshold. The main study outcome was initiation of PrEP care within 90 days, defined as PrEP discussions, referrals, or prescription fills.

RESULTS

One hundred twenty-one PCPs had 5051 appointments with eligible patients (2580 usual care; 2471 intervention). There was a nonsignificant increase in initiation of PrEP care in the intervention arm (6.0% vs 4.5%, HR 1.32, 95% CI: 0.84 to 2.1). There was a significant interaction by HIV provider status, with an intervention HR of 2.59 (95% CI: 1.30 to 5.16) for HIV providers and 0.89 (95% CI: 0.59 to 1.35) for non-HIV providers (P-interaction <0.001).

CONCLUSION

An EHR-based intervention guided by an HIV risk prediction model substantially increased initiation of PrEP care among patients of PCPs who also care for people with HIV. Higher-intensity interventions may be needed to improve PrEP provision among PCPs less familiar with PrEP and HIV care.

Abbreviation
J Acquir Immune Defic Syndr
Publication Date
2024-02-28
Volume
95
Issue
4
Page Numbers
362-369
Pubmed ID
38412047
Medium
Print
Full Title
Using Electronic Health Records to Improve HIV Preexposure Prophylaxis Care: A Randomized Trial.
Authors
Volk JE, Leyden WA, Lea AN, Lee C, Donnelly MC, Krakower DS, Lee K, Liu VX, Marcus JL, Silverberg MJ