Evidence map›Paper›PMID 32641031›Full record

ArticleBMC health services research2020

Diagnostic anticipation to reduce emergency department length of stay: a retrospective cohort study in Ferrara University hospital, Italy.

Andrea Strada, Niccolò Bolognesi, Lamberto Manzoli, Giorgia Valpiani, Chiara Morotti, Francesca Bravi, Roberto Bentivegna, Elena Forini, Antonella Pesci, Armando Stefanati and 2 more

Abstract read
In one paragraph

Article in BMC health services research, 2020. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Factors Associated with Emergency Department Length of Stay in Critically Ill Patients: A Single-Center Retrospective Study.Medical science monitor : international medical journal of experimental and clinical research · 2021
    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

12 authors.

Andrea StradaEmergency Department, S. Anna University Hospital of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0003-0845-5088
Niccolò BolognesiSchool of Hygiene and Preventive Medicine, University of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0001-7465-8639
Lamberto ManzoliDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0002-8129-9344
Giorgia ValpianiResearch Innovation Quality and Accreditation Unit, S. Anna University Hospital of Ferrara, Viale Aldo Moro 8, 44124, Ferrara, Italy.ORCID https://orcid.org/0000-0002-1401-8012
Chiara MorottiResearch Innovation Quality and Accreditation Unit, S. Anna University Hospital of Ferrara, Viale Aldo Moro 8, 44124, Ferrara, Italy.
Francesca BraviResearch Innovation Quality and Accreditation Unit, S. Anna University Hospital of Ferrara, Viale Aldo Moro 8, 44124, Ferrara, Italy. f.bravi@ospfe.it.ORCID https://orcid.org/0000-0002-9973-720X
Roberto BentivegnaRisk manager, S, Anna University Hospital of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0002-5374-4199
Elena ForiniManagement Control, S, Anna University Hospital of Ferrara, Ferrara, Italy.
Antonella PesciEmergency Department, S. Anna University Hospital of Ferrara, Ferrara, Italy.
Armando StefanatiSchool of Hygiene and Preventive Medicine, University of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0001-6094-3439
Eugenio Di RuscioHospital Direction, S, Anna University Hospital of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0001-7705-7003
Tiziano CarradoriHospital Direction, S, Anna University Hospital of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0002-5600-8795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency Department (ED) crowding reduces staff satisfaction and healthcare quality and safety, which in turn increase costs. Despite a number of proposed solutions, ED length of stay (LOS) - a main cause of overcrowding - remains a major issue worldwide. This retrospective cohort study was aimed at evaluating the effectiveness on ED LOS of a procedure called "Diagnostic Anticipation" (DA), which consisted in anticipating the ordering of blood tests by nurses, at triage, following a diagnostic algorithm approved by physicians.

methodsIn the second half of 2019, the ED of the University Hospital of Ferrara, Italy, adopted the DA protocol on alternate weeks for all patients with chest pain, abdominal pain, and non-traumatic bleeding. A retrospective cohort study on DA impact was conducted. Using ED electronic data, LOS independent predictors (age, sex, NEDOCS and Priority Color Code, imaging tests, specialistic consultations, hospital admission) were evaluated through multiple regression.

resultsDuring the weeks when DA was adopted, as compared to control weeks, the mean LOS was shorter by 18.2 min for chest pain, but longer by 15.7 min for abdominal pain, and 33.3 for non-traumatic bleeding. At multivariate analysis, adjusting for age, gender, triage priority, specialist consultations, imaging test, hospitalization and ED crowding, the difference in visit time was significant for chest pain only (p < 0.001).

conclusionsThe impact of DA varied by patients' condition, being significant for chest pain only. Further research is needed before the implementation, estimating the potential proportion of inappropriate blood tests and ED crowding status.

Indexed as

TriageAdultAgedCrowdingEmergency Service, HospitalFemaleHealth Services ResearchHematologic TestsHospitals, UniversityHumansItalyLength of StayMaleMiddle AgedNursing Staff, HospitalRetrospective StudiesEmergency departmentHealthcare services research, retrospective cohort studyOvercrowdingQuality improvement

Identifiers

PMID32641031
PMCPMC7346651

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.