ArticleAmerican journal of infection control2024
An automated best practice advisory increases both routine HIV screening and HIV cotesting with sexually transmitted infections in the emergency department.
Article in American journal of infection control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Get2PrEP2-A Provider Messaging Strategy to Improve PrEP Uptake: A Randomized Controlled Quality Improvement Project.Open forum infectious diseases · 2024Trial
- Gaps in Syphilis Screening Among Pregnant Women in North Carolina.Sexually transmitted diseases · 2026Article
- Emergency Department Syphilis Screening: Insights from a National Stakeholder Convening.Journal of the American College of Emergency Physicians open · 2026Article
- State-of-the-Art Review: Congenital Syphilis in the Modern Era: Current Strategies and Future Directions.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Review
- National Emergency Department Registry for Mpox: Coordinating Multisite Surveillance Networks to Inform Current and Future Outbreaks.Journal of the American College of Emergency Physicians open · 2025Article
- Low sexually transmitted infection (STI) screening and presumptive treatment and high STI positivity among United States females visiting the emergency department after sexual assault.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025Article
- Assessing Barriers and Facilitators to Participation in a Nurse-Driven, Opt-Out HIV Screening Program in the Emergency Department.Global qualitative nursing researchArticle
- Emergency Department Strategies to Identify Out-of-Care People Living With HIV: A Critical Step Toward Ending the HIV Epidemic.Journal of the International Association of Providers of AIDS CareReview
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThere is increasing interest in improving routine HIV screening in emergency departments and increasing HIV cotesting rates among patients tested for sexually transmitted infections (STIs), who are considered at elevated risk of acquiring HIV.
methodsThis is a retrospective review of all ED encounters at a large, urban emergency departments with an existing HIV screening program for seven months before (November 1, 2018, to May 30, 2019) and after (June 1 to December 31, 2019) the implementation of a best practice advisory prompting universal HIV and syphilis screening.
resultsThe study included 14,767 unique encounters, with 3,982 pre-implementation encounters and 10,785 post-implementation. After implementation, HIV testing increased 242%, from 2,851 tests to 9,757, and syphilis testing increased 326%, from 2,191 tests to 9,330. The proportion of encounters for urogenital STI testing without HIV cotesting decreased by 10.3%, from 43.6% to 33.3%. DISCUSSION: An automated electronic medical record (EMR) prompt can have a huge impact on both HIV and syphilis testing rates, as well as the rate of missed opportunities for cotesting among patients undergoing STI testing.
conclusionsHospitals should support screening with automated alerts to help meet quality metrics, improve screening rates, and reduce missed opportunities for screening in vulnerable patients.
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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.