A Prospective Multicenter Study Evaluating Learning Curves and Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography Among Advanced Endoscopy Trainees: The Rapid Assessment of Trainee Endoscopy Skills Study

Sachin Wani, Rajesh Keswani, Matt Hall, Samuel Han, Meer Akbar Ali, Brian Brauer, Linda Carlin, Amitabh Chak, Dan Collins, Gregory A. Cote, David L. Diehl, Christopher J. DiMaio, Andrew Dries, Ihab El-Hajj, Swan Ellert, Kimberley Fairley, Ashley Faulx, Larissa Fujii-Lau, Srinivas Gaddam, Seng Ian GanJonathan P. Gaspar, Chitiki Gautamy, Stuart Gordon, Cynthia Harris, Sarah Hyder, Ross Jones, Stephen Kim, Srinadh Komanduri, Ryan Law, Linda Lee, Rawad Mounzer, Daniel Mullady, V. Raman Muthusamy, Mojtaba Olyaee, Patrick Pfau, Shreyas Saligram, Cyrus Piraka, Amit Rastogi, Laura Rosenkranz, Fadi Rzouq, Aditi Saxena, Raj J. Shah, Violette C. Simon, Aaron Small, Jayaprakash Sreenarasimhaiah, Andrew Walker, Andrew Y. Wang, Rabindra R. Watson, Robert H. Wilson, Patrick Yachimski, Dennis Yang, Steven Edmundowicz, Dayna S. Early

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Background & Aims On the basis of the Next Accreditation System, trainee assessment should occur on a continuous basis with individualized feedback. We aimed to validate endoscopic ultrasound (EUS) and endoscopic retrograde cholangiopancreatography (ERCP) learning curves among advanced endoscopy trainees (AETs) by using a large national sample of training programs and to develop a centralized database that allows assessment of performance in relation to peers. Methods ASGE recognized training programs were invited to participate, and AETs were graded on ERCP and EUS exams by using a validated competency assessment tool that assesses technical and cognitive competence in a continuous fashion. Grading for each skill was done by using a 4-point scoring system, and a comprehensive data collection and reporting system was built to create learning curves by using cumulative sum analysis. Individual results and benchmarking to peers were shared with AETs and trainers quarterly. Results Of the 62 programs invited, 20 programs and 22 AETs participated in this study. At the end of training, median number of EUS and ERCP performed/AET was 300 (range, 155–650) and 350 (125–500), respectively. Overall, 3786 exams were graded (EUS, 1137; ERCP-biliary, 2280; ERCP-pancreatic, 369). Learning curves for individual end points and overall technical/cognitive aspects in EUS and ERCP demonstrated substantial variability and were successfully shared with all programs. The majority of trainees achieved overall technical (EUS, 82%; ERCP, 60%) and cognitive (EUS, 76%; ERCP, 100%) competence at conclusion of training. Conclusions These results demonstrate the feasibility of establishing a centralized database to report individualized learning curves and confirm the substantial variability in time to achieve competence among AETs in EUS and ERCP. ClinicalTrials.gov: NCT02509416.

Original languageEnglish (US)
Pages (from-to)1758-1767.e11
JournalClinical Gastroenterology and Hepatology
Volume15
Issue number11
DOIs
StatePublished - Nov 1 2017

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Learning Curve
Endoscopic Retrograde Cholangiopancreatography
Mental Competency
Endoscopy
Multicenter Studies
Prospective Studies
Databases
Education
Benchmarking
Accreditation
Research Design

Keywords

  • Advanced Endoscopy Training
  • Competence
  • Competency-based Medical Education
  • ERCP
  • EUS
  • Learning Curves

ASJC Scopus subject areas

  • Hepatology
  • Gastroenterology

Cite this

A Prospective Multicenter Study Evaluating Learning Curves and Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography Among Advanced Endoscopy Trainees : The Rapid Assessment of Trainee Endoscopy Skills Study. / Wani, Sachin; Keswani, Rajesh; Hall, Matt; Han, Samuel; Ali, Meer Akbar; Brauer, Brian; Carlin, Linda; Chak, Amitabh; Collins, Dan; Cote, Gregory A.; Diehl, David L.; DiMaio, Christopher J.; Dries, Andrew; El-Hajj, Ihab; Ellert, Swan; Fairley, Kimberley; Faulx, Ashley; Fujii-Lau, Larissa; Gaddam, Srinivas; Gan, Seng Ian; Gaspar, Jonathan P.; Gautamy, Chitiki; Gordon, Stuart; Harris, Cynthia; Hyder, Sarah; Jones, Ross; Kim, Stephen; Komanduri, Srinadh; Law, Ryan; Lee, Linda; Mounzer, Rawad; Mullady, Daniel; Muthusamy, V. Raman; Olyaee, Mojtaba; Pfau, Patrick; Saligram, Shreyas; Piraka, Cyrus; Rastogi, Amit; Rosenkranz, Laura; Rzouq, Fadi; Saxena, Aditi; Shah, Raj J.; Simon, Violette C.; Small, Aaron; Sreenarasimhaiah, Jayaprakash; Walker, Andrew; Wang, Andrew Y.; Watson, Rabindra R.; Wilson, Robert H.; Yachimski, Patrick; Yang, Dennis; Edmundowicz, Steven; Early, Dayna S.

In: Clinical Gastroenterology and Hepatology, Vol. 15, No. 11, 01.11.2017, p. 1758-1767.e11.

Research output: Contribution to journalArticle

Wani, S, Keswani, R, Hall, M, Han, S, Ali, MA, Brauer, B, Carlin, L, Chak, A, Collins, D, Cote, GA, Diehl, DL, DiMaio, CJ, Dries, A, El-Hajj, I, Ellert, S, Fairley, K, Faulx, A, Fujii-Lau, L, Gaddam, S, Gan, SI, Gaspar, JP, Gautamy, C, Gordon, S, Harris, C, Hyder, S, Jones, R, Kim, S, Komanduri, S, Law, R, Lee, L, Mounzer, R, Mullady, D, Muthusamy, VR, Olyaee, M, Pfau, P, Saligram, S, Piraka, C, Rastogi, A, Rosenkranz, L, Rzouq, F, Saxena, A, Shah, RJ, Simon, VC, Small, A, Sreenarasimhaiah, J, Walker, A, Wang, AY, Watson, RR, Wilson, RH, Yachimski, P, Yang, D, Edmundowicz, S & Early, DS 2017, 'A Prospective Multicenter Study Evaluating Learning Curves and Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography Among Advanced Endoscopy Trainees: The Rapid Assessment of Trainee Endoscopy Skills Study', Clinical Gastroenterology and Hepatology, vol. 15, no. 11, pp. 1758-1767.e11. https://doi.org/10.1016/j.cgh.2017.06.012
Wani, Sachin ; Keswani, Rajesh ; Hall, Matt ; Han, Samuel ; Ali, Meer Akbar ; Brauer, Brian ; Carlin, Linda ; Chak, Amitabh ; Collins, Dan ; Cote, Gregory A. ; Diehl, David L. ; DiMaio, Christopher J. ; Dries, Andrew ; El-Hajj, Ihab ; Ellert, Swan ; Fairley, Kimberley ; Faulx, Ashley ; Fujii-Lau, Larissa ; Gaddam, Srinivas ; Gan, Seng Ian ; Gaspar, Jonathan P. ; Gautamy, Chitiki ; Gordon, Stuart ; Harris, Cynthia ; Hyder, Sarah ; Jones, Ross ; Kim, Stephen ; Komanduri, Srinadh ; Law, Ryan ; Lee, Linda ; Mounzer, Rawad ; Mullady, Daniel ; Muthusamy, V. Raman ; Olyaee, Mojtaba ; Pfau, Patrick ; Saligram, Shreyas ; Piraka, Cyrus ; Rastogi, Amit ; Rosenkranz, Laura ; Rzouq, Fadi ; Saxena, Aditi ; Shah, Raj J. ; Simon, Violette C. ; Small, Aaron ; Sreenarasimhaiah, Jayaprakash ; Walker, Andrew ; Wang, Andrew Y. ; Watson, Rabindra R. ; Wilson, Robert H. ; Yachimski, Patrick ; Yang, Dennis ; Edmundowicz, Steven ; Early, Dayna S. / A Prospective Multicenter Study Evaluating Learning Curves and Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography Among Advanced Endoscopy Trainees : The Rapid Assessment of Trainee Endoscopy Skills Study. In: Clinical Gastroenterology and Hepatology. 2017 ; Vol. 15, No. 11. pp. 1758-1767.e11.
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abstract = "Background & Aims On the basis of the Next Accreditation System, trainee assessment should occur on a continuous basis with individualized feedback. We aimed to validate endoscopic ultrasound (EUS) and endoscopic retrograde cholangiopancreatography (ERCP) learning curves among advanced endoscopy trainees (AETs) by using a large national sample of training programs and to develop a centralized database that allows assessment of performance in relation to peers. Methods ASGE recognized training programs were invited to participate, and AETs were graded on ERCP and EUS exams by using a validated competency assessment tool that assesses technical and cognitive competence in a continuous fashion. Grading for each skill was done by using a 4-point scoring system, and a comprehensive data collection and reporting system was built to create learning curves by using cumulative sum analysis. Individual results and benchmarking to peers were shared with AETs and trainers quarterly. Results Of the 62 programs invited, 20 programs and 22 AETs participated in this study. At the end of training, median number of EUS and ERCP performed/AET was 300 (range, 155–650) and 350 (125–500), respectively. Overall, 3786 exams were graded (EUS, 1137; ERCP-biliary, 2280; ERCP-pancreatic, 369). Learning curves for individual end points and overall technical/cognitive aspects in EUS and ERCP demonstrated substantial variability and were successfully shared with all programs. The majority of trainees achieved overall technical (EUS, 82{\%}; ERCP, 60{\%}) and cognitive (EUS, 76{\%}; ERCP, 100{\%}) competence at conclusion of training. Conclusions These results demonstrate the feasibility of establishing a centralized database to report individualized learning curves and confirm the substantial variability in time to achieve competence among AETs in EUS and ERCP. ClinicalTrials.gov: NCT02509416.",
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TY - JOUR

T1 - A Prospective Multicenter Study Evaluating Learning Curves and Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography Among Advanced Endoscopy Trainees

T2 - The Rapid Assessment of Trainee Endoscopy Skills Study

AU - Wani, Sachin

AU - Keswani, Rajesh

AU - Hall, Matt

AU - Han, Samuel

AU - Ali, Meer Akbar

AU - Brauer, Brian

AU - Carlin, Linda

AU - Chak, Amitabh

AU - Collins, Dan

AU - Cote, Gregory A.

AU - Diehl, David L.

AU - DiMaio, Christopher J.

AU - Dries, Andrew

AU - El-Hajj, Ihab

AU - Ellert, Swan

AU - Fairley, Kimberley

AU - Faulx, Ashley

AU - Fujii-Lau, Larissa

AU - Gaddam, Srinivas

AU - Gan, Seng Ian

AU - Gaspar, Jonathan P.

AU - Gautamy, Chitiki

AU - Gordon, Stuart

AU - Harris, Cynthia

AU - Hyder, Sarah

AU - Jones, Ross

AU - Kim, Stephen

AU - Komanduri, Srinadh

AU - Law, Ryan

AU - Lee, Linda

AU - Mounzer, Rawad

AU - Mullady, Daniel

AU - Muthusamy, V. Raman

AU - Olyaee, Mojtaba

AU - Pfau, Patrick

AU - Saligram, Shreyas

AU - Piraka, Cyrus

AU - Rastogi, Amit

AU - Rosenkranz, Laura

AU - Rzouq, Fadi

AU - Saxena, Aditi

AU - Shah, Raj J.

AU - Simon, Violette C.

AU - Small, Aaron

AU - Sreenarasimhaiah, Jayaprakash

AU - Walker, Andrew

AU - Wang, Andrew Y.

AU - Watson, Rabindra R.

AU - Wilson, Robert H.

AU - Yachimski, Patrick

AU - Yang, Dennis

AU - Edmundowicz, Steven

AU - Early, Dayna S.

PY - 2017/11/1

Y1 - 2017/11/1

N2 - Background & Aims On the basis of the Next Accreditation System, trainee assessment should occur on a continuous basis with individualized feedback. We aimed to validate endoscopic ultrasound (EUS) and endoscopic retrograde cholangiopancreatography (ERCP) learning curves among advanced endoscopy trainees (AETs) by using a large national sample of training programs and to develop a centralized database that allows assessment of performance in relation to peers. Methods ASGE recognized training programs were invited to participate, and AETs were graded on ERCP and EUS exams by using a validated competency assessment tool that assesses technical and cognitive competence in a continuous fashion. Grading for each skill was done by using a 4-point scoring system, and a comprehensive data collection and reporting system was built to create learning curves by using cumulative sum analysis. Individual results and benchmarking to peers were shared with AETs and trainers quarterly. Results Of the 62 programs invited, 20 programs and 22 AETs participated in this study. At the end of training, median number of EUS and ERCP performed/AET was 300 (range, 155–650) and 350 (125–500), respectively. Overall, 3786 exams were graded (EUS, 1137; ERCP-biliary, 2280; ERCP-pancreatic, 369). Learning curves for individual end points and overall technical/cognitive aspects in EUS and ERCP demonstrated substantial variability and were successfully shared with all programs. The majority of trainees achieved overall technical (EUS, 82%; ERCP, 60%) and cognitive (EUS, 76%; ERCP, 100%) competence at conclusion of training. Conclusions These results demonstrate the feasibility of establishing a centralized database to report individualized learning curves and confirm the substantial variability in time to achieve competence among AETs in EUS and ERCP. ClinicalTrials.gov: NCT02509416.

AB - Background & Aims On the basis of the Next Accreditation System, trainee assessment should occur on a continuous basis with individualized feedback. We aimed to validate endoscopic ultrasound (EUS) and endoscopic retrograde cholangiopancreatography (ERCP) learning curves among advanced endoscopy trainees (AETs) by using a large national sample of training programs and to develop a centralized database that allows assessment of performance in relation to peers. Methods ASGE recognized training programs were invited to participate, and AETs were graded on ERCP and EUS exams by using a validated competency assessment tool that assesses technical and cognitive competence in a continuous fashion. Grading for each skill was done by using a 4-point scoring system, and a comprehensive data collection and reporting system was built to create learning curves by using cumulative sum analysis. Individual results and benchmarking to peers were shared with AETs and trainers quarterly. Results Of the 62 programs invited, 20 programs and 22 AETs participated in this study. At the end of training, median number of EUS and ERCP performed/AET was 300 (range, 155–650) and 350 (125–500), respectively. Overall, 3786 exams were graded (EUS, 1137; ERCP-biliary, 2280; ERCP-pancreatic, 369). Learning curves for individual end points and overall technical/cognitive aspects in EUS and ERCP demonstrated substantial variability and were successfully shared with all programs. The majority of trainees achieved overall technical (EUS, 82%; ERCP, 60%) and cognitive (EUS, 76%; ERCP, 100%) competence at conclusion of training. Conclusions These results demonstrate the feasibility of establishing a centralized database to report individualized learning curves and confirm the substantial variability in time to achieve competence among AETs in EUS and ERCP. ClinicalTrials.gov: NCT02509416.

KW - Advanced Endoscopy Training

KW - Competence

KW - Competency-based Medical Education

KW - ERCP

KW - EUS

KW - Learning Curves

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