Evidence map›Paper›PMID 29697806›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2018

Decreasing triage time: effects of implementing a step-wise ESI algorithm in an EHR.

Stephen Villa, Ellen J Weber, Steven Polevoi, Christopher Fee, Andrew Maruoka, Tina Quon

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Using space technology approach to improve quality in emergency departments in India: a quality improvement program.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. 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

6 authors.

Stephen VillaDepartment of Emergency Medicine, UCSF, 535 Parnassus Ave, San Francisco, CA, USA.
Ellen J WeberDepartment of Emergency Medicine, UCSF, 535 Parnassus Ave, San Francisco, CA, USA.
Steven PolevoiDepartment of Emergency Medicine, UCSF, 535 Parnassus Ave, San Francisco, CA, USA.
Christopher FeeDepartment of Emergency Medicine, UCSF, 535 Parnassus Ave, San Francisco, CA, USA.
Andrew MaruokaIT Clinical Applications and Analytics, UCSF, 400 Parnassus Ave, San Francisco, CA, USA.
Tina QuonDepartment of Emergency Medicine, UCSF, 535 Parnassus Ave, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine if adapting a widely-used triage scale into a computerized algorithm in an electronic health record (EHR) shortens emergency department (ED) triage time.

designBefore-and-after quasi-experimental study.

settingUrban, tertiary care hospital ED.

participantsConsecutive adult patient visits between July 2011 and June 2013.

interventionA step-wise algorithm, based on the Emergency Severity Index (ESI-5) was programmed into the triage module of a commercial EHR.

main outcome measuresDuration of triage (triage interval) for all patients and change in percentage of high acuity patients (ESI 1 and 2) completing triage within 15 min, 12 months before-and-after implementation of the algorithm. Multivariable analysis adjusted for confounders; interrupted time series demonstrated effects over time. Secondary outcomes examined quality metrics and patient flow.

resultsAbout 32 546 patient visits before and 33 032 after the intervention were included. Post-intervention patients were slightly older, census was higher and admission rate slightly increased. Median triage interval was 5.92 min (interquartile ranges, IQR 4.2-8.73) before and 2.8 min (IQR 1.88-4.23) after the intervention (P < 0.001). Adjusted mean triage interval decreased 3.4 min (95% CI: -3.6, -3.2). The proportion of high acuity patients completing triage within 15 min increased from 63.9% (95% CI 62.5, 65.2%) to 75.0% (95% CI 73.8, 76.1). Monthly time series demonstrated immediate and sustained improvement following the intervention. Return visits within 72 h and door-to-balloon time were unchanged. Total length of stay was similar.

conclusionThe computerized triage scale improved speed of triage, allowing more high acuity patients to be seen within recommended timeframes, without notable impact on quality.

Indexed as

Severity of Illness IndexAdultAgedAlgorithmsElectronic Health RecordsEmergency Service, HospitalFemaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsTriage

Identifiers

PMID29697806
PMCPMC6005140

What OpenQuestion holds

Textmetadata
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.