Evidence map›Paper›PMID 36096823›Full record

ArticleBMC health services research2022

Using the Delphi method to establish pediatric emergency triage criteria in a grade A tertiary women's and children's hospital in China.

Yingying Zhao, Liqing He, Juan Hu, Jing Zhao, Mingxuan Li, Lisha Huang, Qiu Jin, Lan Wang, Jianxiong Wang

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Outcomes of Chengdu Pediatric Emergency Triage Criteria: A Retrospective Study of 198,628 Pediatric Patient Records.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  4. A Review of the Roles and Implementation of Pediatric Emergency Triage Systems in China and Other Countries.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Review
  5. 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

9 authors.

Yingying Zhao *Department of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Liqing He *Department of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Juan HuDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China. hujuan5@hotmail.com.
Jing ZhaoDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China. hxzj95@outlook.com.
Mingxuan LiDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Lisha HuangDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Qiu JinDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Lan WangDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Jianxiong WangDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.

Funding

Chengdu Science and Technology Bureau 2019-YF05-00442-SN
6 · The paper itself

Abstract

backgroundWe aimed to establish simplified and quantifiable triage criteria in pediatric emergency care, improving the efficiency of pediatric emergency triage and ensuring patient safety.

methodsWe preliminarily determined the pediatric emergency triage criteria with references to pediatric emergency department characteristics and internationally recognized triage tools after literature review and discussion. The final determination of the triage criteria was reached after two rounds of Delphi surveys completed by18 experts from 3 hospitals in China.

resultsBoth round 1 and round 2 surveys had a 100% response rate. The overall expert authority coefficient in the two rounds of surveys was 0.872. The experts had 100% enthusiasm for participating in the surveys. Kendall's coefficients of concordance for conditions/symptoms in patients triaged to level 1, 2, 3, and 4 were 0.149, 0.193, 0.102, and 0.266, respectively. All p-values were less than 0.05. The coefficients of variation in conditions/symptoms, vital signs, and the Pediatric Early Warning Score (PEWS) ranged between 0.00 and 0.205, meeting the inclusion criteria. The pediatric emergency triage criteria containing conditions/symptoms, vital signs, PEWS scores, and other 4 level 1 indicators, 51 level 2 indicators and 23 level 3 indicators were built. The maximum waiting time to treatment for the patients triaged to level 1, 2, 3, and 4 was immediate, within 10 min, within 30 min, and within 240 min, respectively.

conclusionThe pediatric emergency triage criteria established in this study was scientific and reliable. It can be used to quickly identify the patients requiring urgent and immediate care, thereby ensuring the priorities for the care of critically ill patients.

Indexed as

Emergency Medical ServicesTriageChildDelphi TechniqueEmergency Service, HospitalFemaleHospitals, PediatricHumansDelphiPediatric emergency departmentTriage criteria

Identifiers

PMID36096823
PMCPMC9469547

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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.