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Erschienen in: World Journal of Urology 1/2024

01.12.2024 | Original Article

Development and validation of a novel home-made bench-top training model for retrograde intrarenal surgery

verfasst von: Jingfei Teng, Chong Ma, Feng Gao, Xiao Luo, Yawei Guan, Zhihui Li, Li Yao, Xing Ai

Erschienen in: World Journal of Urology | Ausgabe 1/2024

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Abstract

Purpose

To develop and validate a low-cost homemade bench-top training model to facilitate retrograde intrarenal surgery (RIRS) training.

Methods

The RIRS training model (G-Model) was developed using a surgical glove and a recycled ureter access sheath. Fifteen participants including 10 residents and 5 urologists were enrolled. Designed training curriculum for residents was carried out. Face validity, content validity, construct validity and criterion validity evaluation of the G-Model were carried out.

Results

The global score of face and content validity was 4.15 ± 0.53 and 4.65 ± 0.29, respectively. For construct validity, the overall modified global rating scale (mGRS) score was significantly improved [12.5 (5.25) vs. 24.0 (5.25), p = 0.004], and the total task time was significantly shortened (39.5 ± 4.48 min vs. 24.1 ± 3.81 min, p < 0.001) within residents after G-Model training. The baseline mGRS score and total task time of residents were poorer than those of urologists [12.5 (5.25) vs. 32.0 (1.00), p < 0.001; 39.5 ± 4.48 min vs. 16.0 ± 1.58 min, p < 0.001]. Spearman correlation analysis revealed strong correlations between residents’ G-Model and real patient performance.

Conclusion

The current study presented a valid low-cost easily accessible RIRS bench-top training model which could facilitate skill acquisition and translate to real-life scenario.
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Metadaten
Titel
Development and validation of a novel home-made bench-top training model for retrograde intrarenal surgery
verfasst von
Jingfei Teng
Chong Ma
Feng Gao
Xiao Luo
Yawei Guan
Zhihui Li
Li Yao
Xing Ai
Publikationsdatum
01.12.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
World Journal of Urology / Ausgabe 1/2024
Print ISSN: 0724-4983
Elektronische ISSN: 1433-8726
DOI
https://doi.org/10.1007/s00345-023-04728-x

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