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Introduction <p>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.</p> Methods <p>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.</p> Results <p>The final framework was validated by a 100% expert response rate and significant coordination coefficients (<i>P</i> &lt; 0.005), and comprises 4 first-level, 13&#xa0;s-level, and 56 third-level indicators.</p> Conclusions <p>This Onion Model-based framework offers a structured, validated tool for targeted training, performance assessment, and workforce development in airport emergency settings.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月10日

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

摘要

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.