Evidence map›Paper›PMID 41963895›Full record

ArticleBMC medical education2026

Development of a competency framework for airport emergency medical personnel: a Delphi and analytic hierarchy process study.

Chongming Huang, Linna Yu, Kunlong Deng, Xuemei Chen, Na Tang, Jiaxin Liu, Xuemei Ye

Abstract read
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Chongming HuangEmergency department, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, P. R. China.
Linna YuDepartment of Nursing, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, P. R. China. linnan999@126.com.
Kunlong DengAirport Emergency Medical Center, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, P. R. China.
Xuemei ChenAirport Emergency Medical Center, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, P. R. China.
Na TangEmergency department, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, P. R. China.
Jiaxin LiuEmergency department, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, P. R. China.
Xuemei YeAirport Emergency Medical Center, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, P. R. China.

Funding

Guangdong Provincial Medical Science and Technology Research Foundation Grant No. C2025051
6 · The paper itself

Abstract

introductionAirports, as critical transportation hubs, encounter unpredictable medical emergencies that require specialized competencies from emergency nursing staff, but existing hospital-derived training and assessment tools lack tailored, tiered indicators. This study developed a measurable core competency framework for airport emergency nurses based on the Onion Model.

methodsA preliminary indicator set was established through a comprehensive literature review, refined through two Delphi rounds with 17 experts (June-September 2025), and weighted using the Analytic Hierarchy Process (AHP). Expert authority and coordination coefficients confirmed the reliability of the results.

resultsThe final framework was validated by a 100% expert response rate and significant coordination coefficients (P < 0.005), and comprises 4 first-level, 13 s-level, and 56 third-level indicators.

conclusionsThis Onion Model-based framework offers a structured, validated tool for targeted training, performance assessment, and workforce development in airport emergency settings.

Indexed as

AirportsClinical CompetenceEmergency NursingDelphi TechniqueHumansReproducibility of ResultsAirport Emergency CenterCore Competency of NursesDelphi MethodIndicator SystemOnion Model

Identifiers

PMID41963895
PMCPMC13217785

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.