Evidence map›Paper›PMID 29771104›Full record

Observational studyRevista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia2018

[Appropriateness of antimicrobial prescriptions in the emergency department of a tertiary hospital].

L Yunquera-Romero, I Márquez-Gómez, A Henares-López, M J Morales-Lara, C Gallego Fernández, R Asensi-Díez

Abstract readObservational Study
In one paragraph

Observational study in Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Review
  6. [New predictive models of bacteremia in the emergency department: a step forward].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022
    Review
  7. Observational
  8. Article
  9. Article
  10. [Strategies for improving the antibiotic treatment prescription in the Emergency Department].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2020
    Article
  11. [Predictive factors of bacteraemia in the patients seen in emergency departments due to infections].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2020
    Observational
  12. [Adequacy of the special category antibiotics prescriptions in the Emergency Department of a third level urban Hospital].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2020
    Article
  13. [Comment on: Considerations in antimicrobial prescribing in the emergency department].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    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 at 1 institution in 1 country.

L Yunquera-RomeroLucia Yunquera-Romero, Servicio de Farmacia. Hospital Regional Universitario de Málaga. Avenida de Carlos Haya s/n. CP.29010. Málaga. Spain. yunqueraromero@gmail.com.
I Márquez-Gómez
A Henares-López
M J Morales-Lara
C Gallego Fernández
R Asensi-Díez
Hospital Regional Universitario de Málaga · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAntibiotics are widely prescribed in the Emergency Department (ED), representing 26-62% of outpatient antibiotic prescriptions. Around 40% of antibiotic prescriptions in hospitalized patients are inappropriate or unnecessary. The aim of the study was to assess the appropriateness of antibiotic prescriptions according to local empirical antibiotic treatment guidelines, in the ED of a tertiary hospital.

methodsObservational, retrospective study including patients attending the ED in November 2016, with an antibiotic prescription, excluding those from residents.

resultsA total of 676 patients were included, 57.1% women, mean age 47.4 ± 21.2 years. Patient's diagnoses were 27.2% urinary tract infections (UTI), 24.1% lower respiratory tract infections, 15.4% skin and soft tissue infections (SSTI), 13.8% upper respiratory tract infections, 11.8% oral infections, 2.7% genital/sexually transmitted infections, 1.6% gastrointestinal infections, 0.3% ocular infections and 3.1% other. The most prescribed antibiotic families were: 44.1% penicillins, 21.3% fluoroquinolones. The most prescribed antibiotics were: fosfomycin trometamol in UTI (32.1%), levofloxacin in lower respiratory tract (46.2%) and amoxicillin/clavulanate in oral infections (71.6%), SSTI (62.5%) and upper respiratory tract (46.6%). In 56.8% (384) of the prescriptions antibiotics were indicated. An appropriated antibiotic was selected in 62% (238) of the prescriptions. Appropriated dosage and duration were selected in 82.8% (197) and 45.4% (108) of the prescriptions, respectively.

conclusionsAppropriateness of antibiotic prescriptions was low, mainly due to an overuse of antibiotics when not indicated, broad spectrum and incorrect treatment duration. These data reinforce the need to enhance adherence to local empirical antibiotic treatment guidelines by developing an antimicrobial stewardship program in the ED.

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsAnti-Infective AgentsDrug PrescriptionsEmergency Service, HospitalFemaleHumansInappropriate PrescribingMaleMiddle AgedRetrospective StudiesTertiary Care CentersYoung AdultAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID29771104
PMCPMC6166262
OpenAlexW2983779605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.