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Updated: Jul 3, 2026

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Developing competency evaluation indicators for neurosurgical specialist nurses: a Delphi-AHP study.

Limei Song¹, Wei Li², Zheng Wang¹

¹Department of Neurosurgery, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.

|July 2, 2026

Summary

This summary is machine-generated.

A new framework for evaluating neurosurgical specialist nurses was developed. This structured competency evaluation provides a vital reference for training and managing these essential healthcare professionals.

Keywords:

Analytic Hierarchy Process Delphi method Neurosurgical specialist nurse Nurse Competency Framework

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Last Updated: Jul 3, 2026

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Area of Science:

Nursing Science
Healthcare Management
Professional Competency Assessment

Background:

Neurosurgical nursing is a specialized field lacking standardized competency evaluation in China.
A critical gap existed in clinical nursing talent training and management prior to this study.
Official certification was launched in 2025, but a structured assessment tool was still needed.

Purpose of the Study:

To construct a set of validated competency evaluation indicators for neurosurgical specialist nurses in China.
To address the lack of a structured, evidence-based assessment tool for neurosurgical nursing competency.
To provide a foundation for the training, assessment, and management of neurosurgical specialist nurses.

Main Methods:

A mixed-methods Delphi-Analytic Hierarchy Process (AHP) research design was employed.
Systematic literature review and expert consultations were conducted.
Two rounds of Delphi surveys and AHP were used to refine and weight indicators.

Main Results:

A comprehensive set of 5 first-level, 14 second-level, and 64 third-level competency indicators was developed.
Expert authority coefficients were high (0.907 and 0.913), indicating strong expert consensus.
Professional Theoretical Knowledge and Professional Skills received the highest weights (0.3717 each).

Conclusions:

The developed competency indicators demonstrate strong expert authority, consensus, and methodological validity.
This framework offers a structured reference for the training, assessment, and management of neurosurgical specialist nurses.
The study addresses a critical need for standardized competency evaluation in specialized nursing fields.