Evidence map›Paper›PMID 26829415›Full record

ArticleResearch in nursing & health2016

Impact of Mandatory HIV Screening in the Emergency Department: A Queuing Study.

Nan Liu, Patricia W Stone, Rebecca Schnall

Abstract read
In one paragraph

Article in Research in nursing & health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Review
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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

3 authors.

Nan LiuDepartment of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, NY.
Patricia W StoneSchool of Nursing, Columbia University, New York, NY.
Rebecca SchnallSchool of Nursing, Columbia University, 617 West 168th Street, New York, NY, 10032.

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

To improve HIV screening rates, New York State in 2010 mandated that all persons 13-64 years receiving health care services, including care in emergency departments (EDs), be offered HIV testing. Little attention has been paid to the effect of screening on patient flow. Time-stamped ED visit data from patients eligible for HIV screening, 7,844 of whom were seen by providers and 767 who left before being seen by providers, were retrieved from electronic health records in one adult ED. During day shifts, 10% of patients left without being seen, and during evening shifts, 5% left without being seen. All patients seen by providers were offered testing, and 6% were tested for HIV. Queuing models were developed to evaluate the effect of HIV screening on ED length of stay, patient waiting time, and rate of leaving without being seen. Base case analysis was conducted using actual testing rates, and sensitivity analyses were conducted to evaluate the impact of increasing the testing rate. Length of ED stay of patients who received HIV tests was 24 minutes longer on day shifts and 104 minutes longer on evening shifts than for patients not tested for HIV. Increases in HIV testing rate were estimated to increase waiting time for all patients, including those who left without being seen. Our simulation suggested that incorporating HIV testing into ED patient visits not only adds to practitioner workload but also increases patient waiting time significantly during busy shifts, which may increase the rate of leaving without being seen.

Indexed as

Efficiency, OrganizationalEmergency Service, HospitalMass ScreeningAdultFemaleHIV InfectionsHumansLength of StayMaleMiddle AgedNew YorkWaiting ListsWorkloademergency departmenthealth care utilizationHIV testingqueuing theorywaiting times

Identifiers

PMID26829415
PMCPMC7007922

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.