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

INTRODUCTION: Airports, 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. METHODS: A 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. RESULTS: The 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. CONCLUSIONS: This Onion Model-based framework offers a structured, validated tool for targeted training, performance assessment, and workforce development in airport emergency settings.

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Publication Details

Journal
BMC Medical Education
Published
2026-04-10
DOI
https://doi.org/10.1186/s12909-026-09172-0
Primary Topic
Delphi Technique in Research
Type
article
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article

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

Xuemei Ye, Kunlong Deng, Linna Yu, Chongming Huang et al.
BMC Medical Education
Delphi Technique in Research
article

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

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

Abstract

INTRODUCTION: Airports, 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. METHODS: A 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. RESULTS: The 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. CONCLUSIONS: This Onion Model-based framework offers a structured, validated tool for targeted training, performance assessment, and workforce development in airport emergency settings.

BMC Medical Education
Jinan University (CN), Second Affiliated Hospital of Guangzhou Medical University (CN), Guangdong Provincial People's Hospital (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 15%
Delphi Technique in Research
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