Evidence map›Paper›PMID 40215371›Full record

ArticleClinical trials (London, England)2025

Use of Epic

Matthew F Toerper, Jason Haukoos, Emily Hopkins, Sarah E Rowan, Michael S Lyons, James W Galbraith, Yu-Hsiang Hsieh, Douglas Ae White, Scott Levin, Jeremiah Hinson and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical trials (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Matthew F ToerperDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-0605-5339
Jason HaukoosDepartment of Emergency Medicine, Denver Health Medical Center, Denver, CO, USA.ORCID 0000-0001-7784-6811
Emily HopkinsDepartment of Emergency Medicine, Denver Health Medical Center, Denver, CO, USA.
Sarah E RowanDivision of Infectious Diseases, School of Medicine, University of Colorado, Aurora, CO, USA.
Michael S LyonsDepartment of Emergency Medicine, University of Cincinnati Medical Center, Cincinnati, OH, USA.
James W GalbraithDepartment of Emergency Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Yu-Hsiang HsiehDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA.
Douglas Ae WhiteDepartment of Emergency Medicine, Highland Hospital, Alameda Health System, Oakland, CA, USA.
Scott LevinDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA.
Jeremiah HinsonDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA.
HIV TESTED and DETECT Hep C Trials Investigators

Funding

Effectiveness of Rapid HIV Screening Methods in Urban Emergency DepartmentsR01AI106057 · NIAID · DENVER HEALTH AND HOSPITAL AUTHORITY · PI HAUKOOS, JASON · 2012 to 2016
$3.1M
The Determining Effective Testing in Emergency Departments and Care Coordination on Treatment Outcomes (DETECT) for HCV TrialR01DA042982 · NIDA · DENVER HEALTH AND HOSPITAL AUTHORITY · PI HAUKOOS, JASON, ROWAN, SARAH ELIZABETH · 2018 to 2022
$3.0M
NIAID NIH HHS R01 AI106057NIDA NIH HHS R01 DA042982
6 · The paper itself

Abstract

backgroundPragmatic clinical trials are critical to determine the real-world effectiveness of interventions. Emergency departments serve as key clinical sites for such trials because they provide care to large numbers of patients at the earliest point in their hospital encounter. However, few methods that facilitate efficient emergency department-based pragmatic trials have been described. Our objective was to design and embed randomization schemes directly into the electronic health record to facilitate enrollment of emergency department patients by clinical staff 24 h per day, while maintaining concealed and balanced allocation.

methodsWe designed two multi-center pragmatic trials screening for human immunodeficiency virus (HIV TESTED trial) and hepatitis C virus (DETECT Hep C trial). HIV TESTED included four sites, three arms, and compared two forms of risk-assessed (targeted) to non-risk-assessed (nontargeted) screening for human immunodeficiency virus; DETECT Hep C included three sites, two arms, and compared targeted to nontargeted screening for hepatitis C virus. Participant entry occurred during a patient's emergency department visit in conjunction with standard emergency department care. Patient-visit level randomization schemes were designed in each electronic health record system using Epic

resultsDuring 61 cumulative enrollment months, 365,462 patient visits occurred. After excluding 184,023 visits by designed electronic health record logic or manual nurse input due to age, previously known human immunodeficiency virus or hepatitis C virus, high acuity or altered mental status, 181,439 patient visits were randomized to one of the interventions. Absolute differences between targeted and nontargeted arms differed by 0.2% and 0.4% (HIV TESTED), and 0.1% (DETECT Hep C), and median absolute differences across all baseline characteristics (i.e. age, sex, race, ethnicity, language, payor, arrival mode, and acuity) between arms were 0.02% (range: -0.7% to +0.5%) and -0.07% (range: -0.3% to +0.7%), and -0.02% (range: -0.7% to +0.7%), respectively. Median time required for nurses to execute randomization ranged from 16 to 67 s, depending on the arm.

conclusionIntegration of blinded randomization schemes into electronic health record systems resulted in high-volume balanced enrollment of participants 24 h per day while maintaining concealed allocation. Use of this technology is an important tool to scale performance of high-quality pragmatic trials in emergency department settings while minimizing bias.

Indexed as

Electronic Health RecordsEmergency Service, HospitalHIV InfectionsPatient SelectionPragmatic Clinical Trials as TopicAdultFemaleHepatitis CHumansMaleMass ScreeningMiddle AgedResearch DesignClinical trialelectronic health recordemergency departmentimplementationmethodspragmatic trialrandomizationrandomized trial

Identifiers

PMID40215371
PMCPMC11992431

What OpenQuestion holds

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Registered trials

None linked

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.