DOI: 10.66106/fnabaf.20250109 ISSN: 3105-8000

基于SHEL管理模式在软式内镜床旁预处理中的应用（Application of SHEL Management Model in Bedside Preprocessing of Flexible Endoscopes）

朱楠 Nan Zhu, 周岩岩 Yanyan Zhou
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Abstract：Objective This study applies the SHEL management model to explore a management model for scientifically and systematically analyzing and handling the preprocessing of flexible endoscopes from the aspects of “software, hardware, environment, and human factors”, aiming to improve the level of bedside preprocessing of endoscopes. Methods Based on the SHEL management model, 100 Olympus GIF-HQ290 endoscopes used by patients in the endoscopy center of our hospital from August 1, 2024 to August 30, 2024 were selected. They were grouped by random method. During the bedside preprocessing stage, the control group carried out preprocessing in accordance with the requirements of the Technical Specifications for Cleaning and Disinfection of Flexible Endoscopes (WS/T 507—2016), while the experimental group used the SHEL management model to analyze the factors affecting the preprocessing of flexible endoscopes from the aspects of “software, hardware, environment, and human factors”, and improved and standardized the preprocessing operation process. The qualification rate of bedside preprocessing execution of flexible endoscopes and the mastery of relevant knowledge by endoscopy nursing staff were counted and compared; the experimental data of ATP bioluminescence detection on the outer surface, lumen of the endoscopes after preprocessing and the lumen after endoscope cleaning in both groups were compared. Results The qualification rate of bedside preprocessing execution of flexible endoscopes in the observation group was 96.00%, which was higher than 75.32% in the control group; the score of relevant knowledge of endoscopy nursing staff increased from (83.40 ± 5.85) to (95.25 ± 2.26), with a statistically significant difference (P < 0.05); compared with the control group, the experimental data of ATP bioluminescence detection on the outer surface, lumen of the flexible endoscopes after preprocessing and the lumen after endoscope cleaning in the observation group were all lower, with statistically significant differences (P < 0.05). Conclusion The application of the SHEL management model in the bedside preprocessing of flexible endoscopes improves the level of bedside preprocessing of endoscopes, enhances the effect of endoscope cleaning, and ensures the quality of endoscope cleaning and patient safety.

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