Evidence map›Paper›PMID 30202499›Full record

ArticleThe western journal of emergency medicine2018

NHAMCS Validation of Emergency Severity Index as an Indicator of Emergency Department Resource Utilization.

Michael B Hocker, Charles J Gerardo, B Jason Theiling, John Villani, Rebecca Donohoe, Hirsh Sandesara, Alexander T Limkakeng

Abstract readValidation Study
In one paragraph

Article in The western journal of emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. A descriptive study of demographics, triage allocations and patient outcomes at a private emergency centre in Pretoria.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2021
    Article
  5. Worsening of emergency department length of stay during the COVID-19 pandemic.Journal of the American College of Emergency Physicians open · 2021
    Article
  6. Radiographic findings of SARS-CoV-2 infection.Journal of the American College of Emergency Physicians open · 2021
    Article
  7. Article
  8. Observational
  9. 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.

Michael B HockerMedical College of Georgia, Augusta University, Department of Emergency Medicine and Hospitalist Services, Augusta, Georgia.
Charles J GerardoDuke University School of Medicine, Department of Emergency Medicine, Durham, North Carolina.
B Jason TheilingDuke University School of Medicine, Department of Emergency Medicine, Durham, North Carolina.
John VillaniDuke University School of Medicine, Department of Emergency Medicine, Durham, North Carolina.
Rebecca DonohoeDuke University School of Medicine, Department of Emergency Medicine, Durham, North Carolina.
Hirsh SandesaraDuke University School of Medicine, Department of Emergency Medicine, Durham, North Carolina.
Alexander T LimkakengDuke University School of Medicine, Department of Emergency Medicine, Durham, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTriage systems play a vital role in emergency department (ED) operations and can determine how well a given ED serves its local population. We sought to describe ED utilization patterns for different triage levels using the National Hospital Ambulatory Medical Care Survey (NHAMCS) database.

methodsWe conducted a multi-year secondary analysis of the NHAMCS database from 2009-2011. National visit estimates were made using standard methods in Analytics Software and Solutions (SAS, Cary, NC). We compared patients in the mid-urgency range in regard to ED lengths of stay, hospital admission rates, and numbers of tests and procedures in comparison to lower or higher acuity levels.

resultsWe analyzed 100,962 emergency visits (representing 402,211,907 emergency visits nationwide). In 2011, patients classified as triage levels 1-3 had a higher number of diagnoses (5.5, 5.6 and 4.2, respectively) when compared to those classified as levels 4 and 5 (1.61 and 1.25). This group also underwent a higher number of procedures (1.0, 0.8 and 0.7, versus 0.4 and 0.4), had a higher ED length of stay (220, 280 and 237, vs. 157 and 135), and admission rates (32.2%, 32.3% and 15.5%, vs. 3.1% and 3.6%).

conclusionPatients classified as mid-level (3) triage urgency require more resources and have higher indicators of acuity as those in triage levels 4 and 5. These patients' indicators are more similar to those classified as triage levels 1 and 2.

Indexed as

Severity of Illness IndexAdultDatabases, FactualEmergency Service, HospitalFemaleHealth Care SurveysHospitalsHumansMaleMiddle AgedResource AllocationTriage

Identifiers

PMID30202499
PMCPMC6123086

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.