Literature DB >> 27345652

Audit and feedback interventions to improve endoscopist performance: Principles and effectiveness.

Jill Tinmouth1, Jigisha Patel2, Robert J Hilsden3, Noah Ivers4, Diego Llovet5.   

Abstract

There is considerable variation in the quality of colonoscopy, attributable in part to endoscopist performance. Audit and feedback (A&F) provides health professionals with a summary of their performance over a period of time and is a common strategy used to improve provider performance. In this review, we discuss current understanding of the mechanism of A&F and describe specific features of effective A&F. To date, trials of A&F to improve colonoscopy performance report heterogeneous results, in part because colonoscopy is a complex procedural skill but also because the quality improvement interventions were sub-optimally implemented or inadequately evaluated. Nonetheless, evidence from a wide range of literature suggests that A&F has the potential to improve endoscopist performance. We discuss future directions for research in this area and provide guidance for providers or health system planners wishing to implement A&F to address quality of colonoscopy in their practice and/or jurisdiction.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Audit & feedback; Colonoscopy; Quality improvement

Mesh:

Year:  2016        PMID: 27345652     DOI: 10.1016/j.bpg.2016.04.002

Source DB:  PubMed          Journal:  Best Pract Res Clin Gastroenterol        ISSN: 1521-6918            Impact factor:   3.043


  12 in total

1.  Development of a national automated endoscopy database: The United Kingdom National Endoscopy Database (NED).

Authors:  Thomas Jw Lee; Keith Siau; Shiran Esmaily; James Docherty; John Stebbing; Matthew J Brookes; Raphael Broughton; Peter Rogers; Paul Dunckley; Matthew D Rutter
Journal:  United European Gastroenterol J       Date:  2019-04-02       Impact factor: 4.623

2.  Quality of the screening process: An overlooked critical factor and an essential component of shared decision making about screening.

Authors:  James A Dickinson; Roland Grad; Brenda J Wilson; Neil R Bell; Harminder Singh; Olga Szafran; Guylène Thériault
Journal:  Can Fam Physician       Date:  2019-05       Impact factor: 3.275

3. 

Authors:  James A Dickinson; Roland Grad; Brenda J Wilson; Neil R Bell; Harminder Singh; Olga Szafran; Guylène Thériault
Journal:  Can Fam Physician       Date:  2019-05       Impact factor: 3.275

4. 

Authors:  James A Dickinson; Nicholas Pimlott; Roland Grad; Harminder Singh; Olga Szafran; Brenda J Wilson; Stéphane Groulx; Guylène Thériault; Neil R Bell
Journal:  Can Fam Physician       Date:  2018-07       Impact factor: 3.275

5.  Screening: when things go wrong.

Authors:  James A Dickinson; Nicholas Pimlott; Roland Grad; Harminder Singh; Olga Szafran; Brenda J Wilson; Stéphane Groulx; Guylène Thériault; Neil R Bell
Journal:  Can Fam Physician       Date:  2018-07       Impact factor: 3.275

6.  Regular feedback to individual endoscopists is associated with improved adenoma detection rate and other key performance indicators for colonoscopy.

Authors:  Samuel Lim; Giovanni Tritto; Sebastian Zeki; Sabina DeMartino
Journal:  Frontline Gastroenterol       Date:  2022-05-06

7.  Annual colonoscopy volume and maintenance of competency for surgeons.

Authors:  David Pace; Mark Borgaonkar; Brad Evans; Curtis Marcoux; Muna Lougheed; Vanessa Falk; Nikita Hickey; Meghan O'Leary; Jerry McGrath; Darrel Boone
Journal:  Surg Endosc       Date:  2016-10-17       Impact factor: 4.584

8.  Routine Prophylactic Endoscopic Clipping Is Not Efficacious in the Prevention of Delayed Post-Polypectomy Bleeding: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Nauzer Forbes; Levi Frehlich; Matthew T James; Robert J Hilsden; Gilaad G Kaplan; Todd A Wilson; Diane L Lorenzetti; David J Tate; Michael J Bourke; Steven J Heitman
Journal:  J Can Assoc Gastroenterol       Date:  2018-07-20

9.  A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial.

Authors:  Liwen Yao; Jun Liu; Lianlian Wu; Lihui Zhang; Xiao Hu; Jinzhu Liu; Zihua Lu; Dexin Gong; Ping An; Jun Zhang; Guiying Hu; Di Chen; Renquan Luo; Shan Hu; Yanning Yang; Honggang Yu
Journal:  Clin Transl Gastroenterol       Date:  2021-06-15       Impact factor: 4.488

10.  The National Endoscopy Database (NED) Automated Performance Reports to Improve Quality Outcomes Trial (APRIQOT) randomized controlled trial design.

Authors:  Jamie Catlow; Linda Sharp; Adetayo Kasim; Liya Lu; Matthew Brookes; Tom Lee; Stephen McCarthy; Joanne Gray; Falko Sniehotta; Jill Deane; Matt Rutter
Journal:  Endosc Int Open       Date:  2020-10-21
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