Evidence map›Paper›PMID 35314869›Full record

Observational studyEuropean journal of pediatrics2022

Diagnostic variation for febrile children in European emergency departments.

Lorenzo Zanetto, Josephine van de Maat, Daan Nieboer, Henriette Moll, Alain Gervaix, Liviana Da Dalt, Santiago Mintegi, Silvia Bressan, Rianne Oostenbrink

Abstract readObservational Study
In one paragraph

Observational study in European journal of pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
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

9 authors.

Lorenzo ZanettoDepartment of Women's and Children's Health, University of Padova, Padua, 35128, Italy.ORCID http://orcid.org/0000-0003-4919-569X
Josephine van de MaatDepartment of General Pediatrics, Erasmus Medical Center Sophia Children's Hospital, Rotterdam, 3015 CN, Netherlands.
Daan NieboerDepartment of General Pediatrics, Erasmus Medical Center Sophia Children's Hospital, Rotterdam, 3015 CN, Netherlands.
Henriette MollDepartment of General Pediatrics, Erasmus Medical Center Sophia Children's Hospital, Rotterdam, 3015 CN, Netherlands.
Alain GervaixDepartment of Pediatrics, Gynaecology and Obstetrics, University Hospital of Geneva, Geneva, 1205, Switzerland.
Liviana Da DaltDepartment of Women's and Children's Health, University of Padova, Padua, 35128, Italy.
Santiago MintegiPediatric Emergency Department, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, University of the Basque Country, UPV/EHU, Bilbao, Basque Country, Spain.
Silvia BressanDepartment of Women's and Children's Health, University of Padova, Padua, 35128, Italy. silviabress@gmail.com.ORCID http://orcid.org/0000-0002-6736-5392
Rianne OostenbrinkDepartment of General Pediatrics, Erasmus Medical Center Sophia Children's Hospital, Rotterdam, 3015 CN, Netherlands.ORCID http://orcid.org/0000-0001-7919-8934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to explore the use of diagnostics for febrile children presenting to European emergency departments (EDs), the determinants of inter-hospital variation, and the association between test use and hospitalization. We performed a secondary analysis of a cross-sectional observational study involving 28 paediatric EDs from 11 countries. A total of 4560 children < 16 years were included, with fever as reason for consultation. We excluded neonates and children with relevant comorbidities. Our primary outcome was the proportion of children receiving testing after primary evaluation, by country and by focus of infection. Variability between hospitals and effects of blood testing on patient disposition were explored by multilevel regression analyses, adjusting for patient characteristics (age group, triage level, appearance, fever duration, focus of infection) and hospital type (academic, teaching, other). The use of routine diagnostics varied widely, mostly in the use of blood tests, ranging from 3 to 75% overall across hospitals. Age < 3 months, high-acuity triage level, ill appearance, and suspicion of urinary tract infection displayed the strongest association with blood testing (odds ratios (OR) of 8.71 (95% CI 5.23-14.53), 19.46 (3.66-103.60), 3.13 (2.29-4.26), 10.84 (6.35-18.50), respectively). Blood testing remained highly variable across hospitals (median OR of the final model 2.36, 1.98-3.54). A positive association was observed between blood testing and hospitalization (OR 13.62, 9.00-20.61).

conclusionthe use of diagnostics for febrile children was highly variable across European EDs, yet patient and hospital characteristics could only partly explain inter-hospital variability. Focus groups of participating sites should help define reasons for unexpected variation. WHAT IS KNOWN: • Although previous research has shown variation in the emergency department (ED) management of febrile children, there is limited information on the use of diagnostics in European EDs. • A deeper knowledge of variability and its determinants can steer optimization of care. WHAT IS NEW: • The use of diagnostics for febrile children was highly variable across European EDs, yet patient and hospital characteristics could only partly explain inter-hospital variability. • Data on between-centre comparison offer opportunities to further explore factors influencing unwarranted variation.

Indexed as

Emergency Service, HospitalFeverChildCross-Sectional StudiesHospitalizationHumansInfantTriageBlood testingChildrenDiagnosisEmergency departmentFeverVariation

Identifiers

PMID35314869
PMCPMC9110537

What OpenQuestion holds

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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.