Evidence map›Paper›PMID 36385792›Full record

ArticleSAGE open medicine2022

Characteristics of pediatric emergency patients in a Turkish tertiary-level hospital: A 1-year cross-sectional study.

Ayfer Yüksel

Open access · goldAbstract read
In one paragraph

Article in SAGE open medicine, 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
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

1 author at 1 institution in 1 country.

Ayfer YükselSağlık Hizmetleri Meslek Yüksekokulu, Ufuk Universitesi, Ankara, Turkey.ORCID https://orcid.org/0000-0003-3140-1432
Ufuk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Overcrowding in pediatric emergency departments negatively affects the quality of care. Investigating the characteristics of the patients admitted to PEDs will provide valuable information to increase the satisfaction of patients and healthcare staff. This research aimed to investigate the characteristics of pediatric emergency patients in a foundation university hospital in Ankara. Methods: This is a retrospective, descriptive, single-center, cross-sectional study, which was conducted with 6550 patients who were admitted to the pediatric emergency department of a foundation university hospital in Ankara, and got diagnosed with one of the 15 most common diseases between 1 August 2017 and 31 July 2018. The associations between the demographics and clinical features of the patients and their diagnoses were evaluated. For comparisons, frequencies, percentages, crosstabs, and chi-square tests were used. Results: While none of the patients had a red triage level, 19% had a yellow triage level, and 81% had a green triage level. The three most common diagnoses were fever of unknown origin, cough, and nausea and vomiting. Despite the 0-28 days of age group having the lowest admission rate of 5%, they had the highest usage rate of yellow triage level (66.5%). However, it was the opposite for the 19 months to 5 years of age group with the highest rate of admissions of 49% and the lowest usage rate of yellow triage level (12.8%). Conclusion: The reasons for admitting to pediatric emergency department differ according to some contextual variables. Being aware of the current situation is the first step in planning for better pediatric emergency service.

Indexed as

age groupsdiagnosisPediatric emergency departmentpediatric patientstriage

Identifiers

PMID36385792
PMCPMC9647269
OpenAlexW4309367234

What OpenQuestion holds

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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.