Evidence map›Paper›PMID 39099772›Full record

ArticlePreventive medicine reports2024

Testing trends and co-testing patterns for HIV, hepatitis C and sexually transmitted infections (STIs) in Emergency departments.

Hasan Symum, Michelle Van Handel, Amy Sandul, Angela Hutchinson, Clarisse A Tsang, William S Pearson, Kevin P Delaney, Laura A Cooley, Thomas L Gift, Karen W Hoover and 1 more

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. 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

11 authors.

Hasan SymumProgram and Performance Improvement Office, Office of the Director, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Michelle Van HandelProgram and Performance Improvement Office, Office of the Director, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Amy SandulDivision of Viral Hepatitis, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Angela HutchinsonDivision of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Clarisse A TsangDivision of Viral Hepatitis, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
William S PearsonDivision of STD Prevention, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Kevin P DelaneyDivision of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Laura A CooleyDivision of Viral Hepatitis, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Thomas L GiftDivision of STD Prevention, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
Karen W HooverDivision of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.
William W ThompsonDivision of Viral Hepatitis, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC), United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many underserved populations use Emergency Department (EDs) as primary sources of care, representing an important opportunity to provide infectious disease testing and linkage to care. We explored national ED testing trends and co-testing patterns for HIV, hepatitis C, and sexually transmitted infections (STIs). Methods: We used 2010-2019 Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample data to estimate ED visit testing rates for HIV, hepatitis C, chlamydia, gonorrhea, and syphilis infections, identified by Current Procedural Terminology codes. Trends and co-testing (visit with tests for > 1 infection) patterns were analyzed by sociodemographic, hospital, and visit characteristics. Trends were evaluated as the average annual percentage change (AAPC) using the Joinpoint Regression. Results: During 2010-2019, testing events per 1000 visits (AAPCs) increased for HIV from 1.3 to 4.2 (16.3 %), hepatitis C from 0.4 to 2.2 (25.1 %), chlamydia from 9.1 to 16.0 (6.6 %), gonorrhea from 8.4 to 15.7 (7.4 %), and syphilis from 0.7 to 2.0 (12.9 %). Rate increases varied by several characteristics across infections. The largest AAPC increases were among visits by groups with lower base rate testing in 2010, including persons aged ≥ 65 years (HIV: 36.4 %), with Medicaid (HIV: 43.8 %), in the lowest income quintile (hepatitis C: 36.9 %), living in the West (syphilis: 49.4 %) and with non-emergency diagnoses (hepatitis C: 44.1 %). Co-testing increased significantly for all infections except hepatitis C. Conclusions: HIV, hepatitis C, and STI testing increased in EDs during 2010-2019; however, co-testing patterns were inconsistent. Co-testing may improve diagnosis and linkage to care, especially in areas experiencing higher rates of infection.

Identifiers

PMID39099772
PMCPMC11295952

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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.