ArticleJournal of the American College of Emergency Physicians open2026
Use of an Electronic Health Record Algorithm to Identify Persons With Human Immunodeficiency Virus Out Of Care in United States Emergency Departments.
Article in Journal of the American College of Emergency Physicians open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Emergency department (ED) human immunodeficiency virus (HIV) screening programs are designed primarily to identify persons with undiagnosed HIV and, therefore, systematically exclude persons with diagnosed HIV (PWHDx). PWHDx who are out of care (OOC) contribute disproportionately to HIV transmission and are a priority population within Ending the HIV Epidemic (EHE) initiatives. Because PWHDx OOC are not routinely identified through screening, complementary strategies are needed to support re-engagement in care. We evaluated an electronic health record algorithm (EHRa) designed to identify PWHDx presenting to the ED. We then determined HIV care status, characterized differences between patients in care (IC) and OOC, and quantified the incremental yield of EHRa-based identification beyond routine HIV screening. Methods: We conducted a retrospective, cross-sectional study across 3 EDs with universal HIV screening. Adults (≥18 years) presenting between February and July 2024 who screened HIV positive or were identified through the EHRa were included. Data from HIV screening databases and EHRa reports were analyzed using descriptive statistics and logistic regression. Results: Among 88,501 adult ED visits, 798 persons with HIV were identified (0.9%): 5.1% newly diagnosed, 21.6% PWHDx OOC, and 73.3% PWHDx IC. The EHRa identified 589 PWHDx who were not captured through routine screening, including 113 (19.2%) who were OOC. Compared with IC patients, PWHDx OOC had higher AIDS prevalence (37.5% vs 18.6%) and lower viral suppression (17.6% vs 83.3%). OOC status was independently associated with cisgender female gender, housing instability, limited phone access, and being uninsured. Conclusions: A simple, locally generated EHRa substantially increased identification of PWHDx in the ED, including many OOC patients who were not captured through routine screening. A simple, locally generated EHRa demonstrated substantial incremental yield for identifying PWHDx in the ED, including many OOC patients who were not captured through routine screening. EHR-based identification strategies may help identify and re-engage PWHDx OOC and support national EHE goals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.