Evidence map›Paper›PMID 25295186›Full record

ArticleNursing research and practice2014

Timing Matters: HIV Testing Rates in the Emergency Department.

Rebecca Schnall, Nan Liu

Abstract read
In one paragraph

Article in Nursing research and practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

2 authors.

Rebecca SchnallSchool of Nursing, Columbia University, New York, NY 10032, USA.
Nan LiuDepartment of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.

Funding

CTSA: K12 COMPONENTKL2RR024157 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$8.9M
Clinical and Translational Science AwardKL2TR000081 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$3.3M
NCATS NIH HHS KL2 TR000081NCRR NIH HHS KL2 RR024157
6 · The paper itself

Abstract

Study Objectives. In response to the 2010 New York State HIV testing law, we sought to understand the contextual factors that influence HIV testing rates in the emergency department (ED). Methods. We analyzed electronic health record logs from 97,655 patients seen in three EDs in New York City. We used logistic regression to assess whether time of day, day of the week, and season significantly affected HIV testing rates. Results. During our study period, 97,655 patients were evaluated and offered an HIV test. Of these, 7,763 (7.9%) agreed to be tested. Patients arriving between 6 a.m. and 7:59 p.m. were significantly (P < 0.001) more likely to be tested for HIV, followed by patients arriving between 8:00 p.m. and 9:59 p.m. (P < 0.01) and followed by patients arriving between 5-5:59 a.m. and 10-10:59 p.m. (P < 0.05) compared to patients arriving at midnight. Seasonal variation was also observed, where patients seen in July, August, and September (P < 0.001) were more likely to agree to be tested for HIV compared to patients seen in January, while patients seen in April and May (P < 0.001) were less likely to agree to be tested for HIV. Conclusion. Time of day and season affect HIV testing rates in the ED, along with other factors such as patient acuity and completion of other blood work during the ED visit. These findings provide useful information for improving the implementation of an HIV testing program in the ED.

Identifiers

PMID25295186
PMCPMC4175787

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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.