| Autor: |
Mun, Elijah J., Yen, Timothy, Hochheimer, Camille J., Tarter, Wyatt, Kaltenbach, Tonya, Keswani, Rajesh N., Wani, Sachin, Patel, Swati G. |
| Předmět: |
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| Zdroj: |
Endoscopy; 2024, Vol. 56 Issue 6, p421-430, 10p |
| Abstrakt: |
Background Although polyp size dictates surveillance intervals, endoscopists often estimate polyp size inaccurately. We hypothesized that an intervention providing didactic instruction and real-time feedback could significantly improve polyp size classification. Methods We conducted a multicenter randomized controlled trial to evaluate the impact of different components of an online educational module on polyp sizing. Participants were randomized to control (no video, no feedback), video only, feedback only, or video + feedback. The primary outcome was accuracy of polyp size classification into clinically relevant categories (diminutive [1–5mm], small [6–9mm], large [≥10mm]). Secondary outcomes included accuracy of exact polyp size (inmm), learning curves, and directionality of inaccuracy (over- vs. underestimation). Results 36 trainees from five training programs provided 1360 polyp size assessments. The feedback only (80.1%, P =0.01) and video + feedback (78.9%, P=0.02) groups had higher accuracy of polyp size classification compared with controls (71.6%). There was no significant difference in accuracy between the video only group (74.4%) and controls (P =0.42). Groups receiving feedback had higher accuracy of exact polyp size (inmm) and higher peak learning curves. Polyps were more likely to be overestimated than underestimated, and 29.3% of size inaccuracies impacted recommended surveillance intervals. Conclusions Our online educational module significantly improved polyp size classification. Real-time feedback appeared to be a critical component in improving accuracy. This scalable and no-cost educational module could significantly decrease under- and overutilization of colonoscopy, improving patient outcomes while increasing colonoscopy access. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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