Literature DB >> 23199647

Measurement of polypectomy rate by using administrative claims data with validation against the adenoma detection rate.

Neal C Patel1, Rafiul S Islam, Qing Wu, Suryakanth R Gurudu, Francisco C Ramirez, Michael D Crowell, Douglas O Faigel.   

Abstract

BACKGROUND: The adenoma detection rate (ADR) is a main quality indicator in colonoscopy but has many challenges for calculating. The polypectomy rate (PR) may be calculable from administrative claims data, but this has not been validated against the ADR.
OBJECTIVE: To determine whether a PR calculated from United States billing claims data is an accurate surrogate for the ADR.
DESIGN: A PR was calculated by using billing claims data from Current Procedural Terminology codes. The ADR was calculated for each endoscopist by using an endoscopy report database to which the pathology report data had been added. The relationship between PR and ADR was evaluated with the Pearson correlation coefficient. The ADR was plotted against the PR by individual endoscopist, and a least-squares regression line was created. A t test was used to analyze the differences in lesion detection between endoscopists with a PR above and below the benchmark PR.
SETTING: Tertiary-care, outpatient endoscopy center. PATIENTS: All ages undergoing colonoscopy. MAIN OUTCOME MEASUREMENTS: PR and ADR.
RESULTS: A total of 5382 colonoscopies were reviewed. A significant relationship between endoscopists' calculated PRs and ADRs was seen (r = 0.85; P < .001). Endoscopists needed a PR of 35% to achieve the recommended benchmark ADR of 20%. Endoscopists with PRs of 35% or greater had an ADR of 27% (6.2 standard deviation [SD]) as compared with 19% (1.9 SD) for those with PRs less than 35% (P = .0029). LIMITATIONS: Study population.
CONCLUSION: Calculated PR from billing claims data is an accurate surrogate for ADR and may become an important quality measure for external and internal use.
Copyright © 2013 American Society for Gastrointestinal Endoscopy. Published by Mosby, Inc. All rights reserved.

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Mesh:

Year:  2012        PMID: 23199647     DOI: 10.1016/j.gie.2012.09.032

Source DB:  PubMed          Journal:  Gastrointest Endosc        ISSN: 0016-5107            Impact factor:   9.427


  21 in total

1.  Validation of colonoscopic findings from a structured endoscopic documentation database against manually collected medical records data.

Authors:  Otto S Lin; Danielle La Selva; Jae-Myung Cha; Michael Gluck; Andrew Ross; Michael Chiorean; Richard A Kozarek
Journal:  Surg Endosc       Date:  2015-07-15       Impact factor: 4.584

Review 2.  Quality monitoring in colonoscopy: Time to act.

Authors:  Mary A Atia; Francisco C Ramirez; Suryakanth R Gurudu
Journal:  World J Gastrointest Endosc       Date:  2015-04-16

Review 3.  Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) quality improvement initiative.

Authors:  Michal F Kaminski; Siwan Thomas-Gibson; Marek Bugajski; Michael Bretthauer; Colin J Rees; Evelien Dekker; Geir Hoff; Rodrigo Jover; Stepan Suchanek; Monika Ferlitsch; John Anderson; Thomas Roesch; Rolf Hultcranz; Istvan Racz; Ernst J Kuipers; Kjetil Garborg; James E East; Maciej Rupinski; Birgitte Seip; Cathy Bennett; Carlo Senore; Silvia Minozzi; Raf Bisschops; Dirk Domagk; Roland Valori; Cristiano Spada; Cesare Hassan; Mario Dinis-Ribeiro; Matthew D Rutter
Journal:  United European Gastroenterol J       Date:  2017-03-16       Impact factor: 4.623

4.  Quality metrics in endoscopy.

Authors:  Suryakanth R Gurudu; Francisco C Ramirez
Journal:  Gastroenterol Hepatol (N Y)       Date:  2013-04

Review 5.  Quality measures for colonoscopy: where should we be in 2015?

Authors:  John I Allen
Journal:  Curr Gastroenterol Rep       Date:  2015-03

6.  The use of high definition colonoscopy versus standard definition: does it affect polyp detection rate?

Authors:  John Richardson; Anthony Thaventhiran; Hugh Mackenzie; Benjamin Stubbs
Journal:  Surg Endosc       Date:  2017-11-03       Impact factor: 4.584

7.  Screening polypectomy rates below quality benchmarks: a prospective study.

Authors:  Maida J Sewitch; Mengzhu Jiang; Mélanie Fon Sing; Alan Barkun; Lawrence Joseph
Journal:  World J Gastroenterol       Date:  2014-11-21       Impact factor: 5.742

8.  Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

Authors:  Gottumukkala S Raju; Phillip J Lum; Rebecca S Slack; Selvi Thirumurthi; Patrick M Lynch; Ethan Miller; Brian R Weston; Marta L Davila; Manoop S Bhutani; Mehnaz A Shafi; Robert S Bresalier; Alexander A Dekovich; Jeffrey H Lee; Sushovan Guha; Mala Pande; Boris Blechacz; Asif Rashid; Mark Routbort; Gladis Shuttlesworth; Lopa Mishra; John R Stroehlein; William A Ross
Journal:  Gastrointest Endosc       Date:  2015-04-22       Impact factor: 9.427

9.  How we can measure quality in colonoscopy?

Authors:  Leonidas A Bourikas; Zacharias P Tsiamoulos; Adam Haycock; Siwan Thomas-Gibson; Brian P Saunders
Journal:  World J Gastrointest Endosc       Date:  2013-10-16

10.  Polypectomy techniques, endoscopist characteristics, and serious gastrointestinal adverse events.

Authors:  Askar Chukmaitov; Cathy J Bradley; Bassam Dahman; Umaporn Siangphoe; Doumit BouHaidar; Joan L Warren
Journal:  J Surg Oncol       Date:  2014-04-03       Impact factor: 3.454

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