Evidence map›Paper›PMID 25316041›Full record

ArticleJournal of telemedicine and telecare2014

An emergency department registration kiosk can increase HIV screening in high risk patients.

Yu-Hsiang Hsieh, Megan Gauvey-Kern, Stephen Peterson, Alonzo Woodfield, Katherine Deruggiero, Charlotte A Gaydos, Richard E Rothman

Abstract read
In one paragraph

Article in Journal of telemedicine and telecare, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. The Role of Health Kiosks: Scoping Review.JMIR medical informatics · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Utilization of integrated health kiosks: A systematic review.Medical journal of the Islamic Republic of Iran · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors.

Yu-Hsiang HsiehDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA yhsieh1@jhmi.edu.
Megan Gauvey-KernDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Stephen PetersonDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Alonzo WoodfieldDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Katherine DeruggieroDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Charlotte A GaydosDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

TrainingU54EB007958 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Yukari C Manabe, Susan Anne Tuddenham · 2007 to 2026
$34.6M
NIBIB NIH HHS U54 EB007958NIBIB NIH HHS U54EB007958
6 · The paper itself

Abstract

We evaluated the feasibility and the patient acceptability of integrating a kiosk into routine emergency department (ED) practice for offering HIV testing. The work was conducted in four phases: phase 1 was a baseline, in which external testing staff offered testing at the bedside; phase 2 was a pilot assessment of a prototype kiosk; phase 3 was a pilot implementation and phase 4 was the full implementation with automated login. Feasibility was assessed by the proportion of offering HIV tests, acceptance, completion and result reporting. During the study period, the number of ED patients and eligible patients for screening were similar in the three main phases. However, the number and proportion of patients offered testing of those eligible for screening increased significantly from phase 1 (32%) to phase 3 (37%) and phase 4 (40%). There were slightly higher prevalences of newly diagnosed HIV with kiosk versus bedside testing (phase 1, 0%; phase 3, 0.2%; phase 4, 0.5%). Compared to patients tested at the bedside, patients tested via the kiosk were significantly younger, more likely to be female, to be black, and to report high risk behaviours. ED-based HIV screening via a registration-based kiosk was feasible, yielded similar proportions of testing, and increased the proportion of engagement of higher-risk patients in testing.

Indexed as

Emergency Service, HospitalUser-Computer InterfaceAdultAge FactorsFeasibility StudiesFemaleHIV InfectionsHumansMaleMass ScreeningMiddle AgedPatient Acceptance of Health CareRisk FactorsSex FactorsYoung Adult

Identifiers

PMID25316041
PMCPMC4382125

What OpenQuestion holds

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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.