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The Bethesda ERCP Skills Assessment Tool (BESAT) can reliably differentiate endoscopists of different experience levels.
- Liu, Kevin;
- Elmunzer, B;
- Wani, Sachin;
- Taft, Tiffany;
- Walsh, Catharine;
- Arain, Mustafa;
- Berzin, Tyler;
- Buxbaum, James;
- DiMaio, Christopher;
- Fehmi, Syed;
- Gupta, Neil;
- Jonnalagadda, Sreenivasa;
- Kushnir, Vladimir;
- Maple, John;
- Muthusamy, Raman;
- Rastogi, Amit;
- Shah, Janak;
- Chak, Amitabh;
- Faulx, Ashley;
- Forbes, Nauzer;
- Keswani, Rajesh
- et al.
Published Web Location
https://doi.org/10.1055/a-2161-1982Abstract
Background and study aims The Bethesda ERCP Skill Assessment Tool (BESAT) is a video-based assessment tool of technical endoscopic retrograde cholangiopancreatography (ERCP) skill with previously established validity evidence. We aimed to assess the discriminative validity of the BESAT in differentiating ERCP skill levels. Methods Twelve experienced ERCP practitioners from tertiary academic centers were asked to blindly rate 43 ERCP videos using the BESAT. ERCP videos consisted of native biliary cannulation and sphincterotomy and were recorded from 10 unique endoscopists of various ERCP experience (from advanced endoscopy fellow to > 10 years of ERCP experience). Inter-rater reliability, discriminative validity, and internal structure validity were subsequently assessed. Results The BESAT was found to reliably differentiate between endoscopists of varying levels of ERCP experience with experienced ERCPists scoring higher than novice ERCPists in 11 of 13 (85%) instrument items. Inter-rater reliability for BESAT items ranged from good to excellent (intraclass correlation range: 0.86 to 0.93). Internal structure validity was assessed with item-total correlations ranging from 0.53 to 0.83. Conclusions Study findings demonstrate that the BESAT, a video-based ERCP skill assessment tool, has high inter-rater reliability and has discriminative validity in differentiating novice from expert ERCP skill. Further investigations are needed to determine the role of video-based assessment in improving trainee learning curves and patient outcomes.
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