Evidence map›Paper›PMID 25720801›Full record

ArticleAnnals of emergency medicine2015

HIV Care Continuum for HIV-Infected Emergency Department Patients in an Inner-City Academic Emergency Department.

Yu-Hsiang Hsieh, Gabor D Kelen, Oliver Laeyendecker, Chadd K Kraus, Thomas C Quinn, Richard E Rothman

Open access · greenAbstract read
In one paragraph

Article in Annals of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  20. Evaluation of the Centers for Disease Control and Prevention Recommendations for Hepatitis C Virus Testing in an Urban Emergency Department.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Yu-Hsiang HsiehDepartment of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address: yhsieh1@jhmi.edu.
Gabor D KelenDepartment of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.
Oliver LaeyendeckerDivision of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD.
Chadd K KrausLehigh Valley Health Network, Allentown, PA.
Thomas C QuinnDivision of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD.
Richard E RothmanDepartment of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD; Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · USLehigh Valley Health Network · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
Cost-Effectiveness of ED HIV Testing Program Agent-Based Modeling ApproachK01AI100681 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HSIEH, YU-HSIANG · 2012 to 2015
$532k
Intramural NIH HHSNCATS NIH HHS UL1 TR001079NIAID NIH HHS 5K01AI100681NIAID NIH HHS K01 AI100681
6 · The paper itself

Abstract

STUDY

objectiveThe recently released HIV Care Continuum Initiative is a cornerstone of the National AIDS Strategy and a model for improving care for those living with HIV. To our knowledge, there are no studies exploring the entirety of the HIV Care Continuum for patients in the emergency department (ED). We determine gaps in the HIV Care Continuum to identify potential opportunities for improved care for HIV-infected ED patients.

methodsA mixed-methods approach was used in 1 inner-city ED in 2007. Data elements were derived from an identity-unlinked HIV seroprevalence study, an ongoing nontargeted HIV screening program, and a structured survey of known HIV-positive ED patients.

resultsIdentity-unlinked testing of 3,417 unique ED patients found that 265 (7.8%) were HIV positive. Of patients testing HIV positive, 73% had received a previous diagnosis (based on self-report, chart review, or presence of antiretrovirals in serum), but only 61% were recognized by the clinician as being HIV infected (based on self-report or chart review). Of patients testing positive, 43% were linked to care, 39% were retained in care, 27% were receiving antiretrovirals, 26% were aware of their receiving antiretroviral treatment, 22% were virally suppressed, and only 9% were self-aware of their viral suppression.

conclusionTo our knowledge, this study is the first to quantify gaps in HIV care for an ED patient population, with the HIV Care Continuum as a framework. Our findings identified distinct phases (ie, testing, provider awareness of HIV diagnosis, and linkage to care) in which the greatest opportunities for intervention exist, if appropriate resources were allocated. This schema could serve as a model for other indolent treatable diseases frequently observed in EDs, where continuity of care is critical.

Indexed as

Continuity of Patient CareEmergency Service, HospitalAcademic Medical CentersAIDS SerodiagnosisBaltimoreHIV InfectionsHumansUrban Health Services

Identifiers

PMID25720801
PMCPMC4478148
OpenAlexW1982896879

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.