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Promoting the process of determining brain death through standardized training.
Su, Yingying; Zhang, Yan; Ye, Hong; Chen, Weibi; Fan, Linlin; Liu, Gang; Huang, Huijin; Gao, Daiquan; Zhang, Yunzhou.
Afiliación
  • Su Y; Brain Injury Evaluation Quality Control Center of the National Health Commission, Beijing, China.
  • Zhang Y; Xuanwu Hospital Capital Medical University, Beijing, China.
  • Ye H; Brain Injury Evaluation Quality Control Center of the National Health Commission, Beijing, China.
  • Chen W; Xuanwu Hospital Capital Medical University, Beijing, China.
  • Fan L; Brain Injury Evaluation Quality Control Center of the National Health Commission, Beijing, China.
  • Liu G; Xuanwu Hospital Capital Medical University, Beijing, China.
  • Huang H; Brain Injury Evaluation Quality Control Center of the National Health Commission, Beijing, China.
  • Gao D; Xuanwu Hospital Capital Medical University, Beijing, China.
  • Zhang Y; Brain Injury Evaluation Quality Control Center of the National Health Commission, Beijing, China.
Front Neurol ; 15: 1294601, 2024.
Article en En | MEDLINE | ID: mdl-38456154
ABSTRACT

Objective:

This study aims to explore the training mode for brain death determination to ensure the quality of subsequent brain death determination.

Methods:

A four-skill and four-step (FFT) training model was adopted, which included a clinical neurological examination, an electroencephalogram (EEG) examination, a short-latency somatosensory evoked potential (SLSEP) examination, and a transcranial Doppler (TCD) examination. Each skill is divided into four

steps:

multimedia theory teaching, bedside demonstration, one-on-one real or dummy simulation training, and assessment. The authors analyzed the training results of 1,577 professional and technical personnel who participated in the FFT training model from 2013 to 2020 (25 sessions), including error rate analysis of the written examination, knowledge gap analysis, and influencing factors analysis.

Results:

The total error rates for all four written examination topics were < 5%, at 4.13% for SLSEP, 4.11% for EEG, 3.71% for TCD, and 3.65% for clinical evaluation. The knowledge gap analysis of the four-skill test papers suggested that the trainees had different knowledge gaps. Based on the univariate analysis and the multiple linear regression analysis, among the six factors, specialty categories, professional and technical titles, and hospital level were the independent influencing factors of answer errors (p < 0.01).

Conclusion:

The FFT model is suitable for brain death (BD) determination training in China; however, the authors should pay attention to the professional characteristics of participants, strengthen the knowledge gap training, and strive to narrow the difference in training quality.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza