Evidence map›Paper›PMID 38392628›Full record

ArticleJournal of personalized medicine2024

Geriatric Population Triage: The Risk of Real-Life Over- and Under-Triage in an Overcrowded ED: 4- and 5-Level Triage Systems Compared: The CREONTE (Crowding and R E Organization National TriagE) Study.

Gabriele Savioli, Iride Francesca Ceresa, Maria Antonietta Bressan, Gaia Bavestrello Piccini, Viola Novelli, Sara Cutti, Giovanni Ricevuti, Ciro Esposito, Yaroslava Longhitano, Andrea Piccioni and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2024. 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
3.5field-weighted citation impact, top 9% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Review
  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

17 authors at 8 institutions in 4 countries.

Gabriele SavioliDepartment of Emergency Medicine and Surgery, IRCCS Fondanzione Policlinico San Matteo, 27100 Pavia, Italy.ORCID 0000-0002-8679-5435
Iride Francesca CeresaEmergency Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy.ORCID 0000-0001-5460-4625
Maria Antonietta BressanDepartment of Emergency Medicine and Surgery, IRCCS Fondanzione Policlinico San Matteo, 27100 Pavia, Italy.
Gaia Bavestrello PicciniEmergency Medicine, Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium.ORCID 0000-0002-5618-7404
Viola NovelliMedical Direction, IRCCS Fondanzione Policlinico San Matteo, 27100 Pavia, Italy.ORCID 0000-0002-3341-2533
Sara CuttiMedical Direction, IRCCS Fondanzione Policlinico San Matteo, 27100 Pavia, Italy.
Giovanni RicevutiDepartment of Drug Science, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0003-3422-2747
Ciro EspositoNephrology and Dialysis Unit, ICS Maugeri, University of Pavia, 27100 Pavia, Italy.
Yaroslava LonghitanoResidency Program in Emergency Medicine, Department of Emergency Medicine, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy.ORCID 0000-0001-8831-1361
Andrea PiccioniEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy.ORCID 0000-0001-5703-8737
Zoubir BoudiDepartment of Emergency Medicine, Dr Sulaiman Alhabib Hospital, Dubai 2542, United Arab Emirates.ORCID 0000-0002-7851-5130
Alessandro VenturiDepartment of Political and Social Sciences, University of Pavia, 27100 Pavia, Italy.
Damiano FuschiDepartment of Italian and Supranational Public Law, Faculty of Law, University of Milan, 20133 Milan, Italy.
Antonio VozaEmergency Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy.ORCID 0000-0001-7309-6929
Roberto LeoDepartment of Systems Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Abdelouahab BellouGlobal Network on Emergency Medicine, Brookline, MA 02446, USA.ORCID 0000-0003-3457-5585
Enrico OddoneDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0001-8503-6560
Policlinico San Matteo Fondazione · ITUniversity of Pavia · ITIRCCS Humanitas Research Hospital · ITAgostino Gemelli University Polyclinic · ITUniversité Libre de Bruxelles · BEUniversity of Milan · ITUniversity of Rome Tor Vergata · ITWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly patients, when they present to the emergency department (ED) or are admitted to the hospital, are at higher risk of adverse outcomes such as higher mortality and longer hospital stays. This is mainly due to their age and their increased fragility. In order to minimize this already increased risk, adequate triage is of foremost importance for fragile geriatric (>75 years old) patients who present to the ED. The admissions of elderly patients from 1 January 2014 to 31 December 2020 were examined, taking into consideration the presence of two different triage systems, a 4-level (4LT) and a 5-level (5LT) triage system. This study analyzes the difference in wait times and under- (UT) and over-triage (OT) in geriatric and general populations with two different triage models. Another outcome of this study was the analysis of the impact of crowding and its variables on the triage system during the COVID-19 pandemic. A total of 423,257 ED presentations were included. An increase in admissions of geriatric, more fragile, and seriously ill individuals was observed, and a progressive increase in crowding was simultaneously detected. Geriatric patients, when presenting to the emergency department, are subject to the problems of UT and OT in both a 4LT system and a 5LT system. Several indicators and variables of crowding increased, with a net increase in throughput and output factors, notably the length of stay (LOS), exit block, boarding, and processing times. This in turn led to an increase in wait times and an increase in UT in the geriatric population. It has indeed been shown that an increase in crowding results in an increased risk of UT, and this is especially true for 4LT compared to 5LT systems. When observing the pandemic period, an increase in admissions of older and more serious patients was observed. However, in the pandemic period, a general reduction in waiting times was observed, as well as an increase in crowding indices and intrahospital mortality. This study demonstrates how introducing a 5LT system enables better flow and patient care in an ED. Avoiding UT of geriatric patients, however, remains a challenge in EDs.

Indexed as

crowdingED managementemergency servicegeriatric emergencieshospitalovercrowdingovercrowding and access blockovercrowding detectionovercrowding effecttriagetriage (over-triage)triage (under-triage)

Identifiers

PMID38392628
PMCPMC10890089
OpenAlexW4391693427

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.