P-271. Evaluation of Admission HIV Screening at a Community Health System
Bailey Agee, Jeremy J Frens, Emily Sinclair, Cornelius N Van Dam

TL;DR
This study evaluates how implementing computerized decision support tools in a health system helped identify undiagnosed HIV cases and connect patients to care.
Contribution
The study demonstrates the effectiveness of computerized decision support in increasing HIV screening and identifying new cases in a community health system.
Findings
121,051 HIV tests were performed, identifying 222 new HIV diagnoses.
36% of known HIV-positive patients were not in care, but 65.6% received clinic follow-up.
The most common reason for testing was STI workup, and routine screening identified 60 new cases.
Abstract
The prevalence of HIV in the US is estimated to be 0.37%, and the Centers for Disease Control (CDC) recommends that all patients between the ages of 13 and 64 undergo HIV testing at least once or annually for patients with ongoing risk factors. To promote adherence with these recommendations, Cone Health implemented several computerized decision support (CDS) modalities including interruptive alerts and dynamic order sets that automatically promote opt-out HIV screening. The purpose of this study is to evaluate the impact of CDS in identifying previously undiagnosed HIV patients at Cone Health.Figure 1Positive HIV tests Positive HIV tests Description of HIV Positive Tests Describing New Diagnoses and Known Positives Admission Order for HIV Screening Screenshot of HIV screening orders presented on admission order sets for infection A dynamic order set query was added to the general…
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Taxonomy
TopicsHIV/AIDS Research and Interventions · HIV Research and Treatment · Pneumocystis jirovecii pneumonia detection and treatment
