ArticleThe American journal of gastroenterology2020
Esophageal Manometry Competency Program Improves Gastroenterology Fellow Performance in Motility Interpretation.
Article in The American journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Artificial Intelligence for Diagnosis of Esophageal Manometry: A Narrative Review.Current gastroenterology reports · 2026Review
- Accuracy of Novice Raters for Esophageal Motility Classifications Using Functional Lumen Imaging Probe Panometry.Neurogastroenterology and motility · 2026Article
- The Reverse Red-Green-Blue Rule: A Color-Coded Approach for Simplified Achalasia Diagnosis via High-Resolution Manometry.Gastroenterology research · 2025Article
- Implementation and Analysis of a 5-Year Online Esophageal Motility Curriculum for Gastroenterology Fellows.Digestive diseases and sciences · 2024Article
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Authors and funding
13 authors at 8 institutions in 1 country.
Funding
Abstract
introductionCompetency-based medical education (CBME) for interpretation of esophageal manometry is lacking; therefore, motility experts and instructional designers developed the esophageal manometry competency (EMC) program: a personalized, adaptive learning program for interpretation of esophageal manometry. The aim of this study was to implement EMC among Gastroenterology (GI) trainees and assess the impact of EMC on competency in manometry interpretation.
methodsGI fellows across 14 fellowship programs were invited to complete EMC from February 2018 to October 2018. EMC includes an introductory video, baseline assessment of manometry interpretation, individualized learning pathways, and final assessment of manometry interpretation. The primary outcome was competency for interpretation in 7 individual skill sets.
resultsForty-four GI trainees completed EMC. Participants completed 30 cases, each including 7 skill sets. At baseline, 4 (9%) participants achieved competency for all 7 skills compared with 24 (55%) at final assessment (P < 0.001). Competency in individual skills increased from a median of 4 skills at baseline to 7 at final assessment (P < 0.001). The greatest increase in skill competency was for diagnosis (Baseline: 11% vs Final: 68%; P < 0.001). Accuracy improved for distinguishing between 5 diagnostic groups and was highest for the Outflow obstructive motility disorder (Baseline: 49% vs Final: 76%; P < 0.001) and Normal motor function (50% vs 80%; P < 0.001). DISCUSSION: This prospective multicenter implementation study highlights that an adaptive web-based training platform is an effective tool to promote CBME. EMC completion was associated with significant improvement in identifying clinically relevant diagnoses, providing a model for integrating CBME into subspecialized areas of training.
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