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Predicting Colonoscopy Time: A Quality Improvement Initiative

BACKGROUND/AIMS: There is lack of consensus on the optimal time allotted for colonoscopy, which increases patient wait times. Our aim was to identify and quantify the individual pre-procedural factors that determine the total procedure time (TPT) of colonoscopy. METHODS: This retrospective study inv...

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Autores principales: Jain, Deepanshu, Goyal, Abhinav, Zavala, Stacey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Gastrointestinal Endoscopy 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5152781/
https://www.ncbi.nlm.nih.gov/pubmed/26996219
http://dx.doi.org/10.5946/ce.2015.110
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author Jain, Deepanshu
Goyal, Abhinav
Zavala, Stacey
author_facet Jain, Deepanshu
Goyal, Abhinav
Zavala, Stacey
author_sort Jain, Deepanshu
collection PubMed
description BACKGROUND/AIMS: There is lack of consensus on the optimal time allotted for colonoscopy, which increases patient wait times. Our aim was to identify and quantify the individual pre-procedural factors that determine the total procedure time (TPT) of colonoscopy. METHODS: This retrospective study involved 4,494 subjects, undergoing outpatient colonoscopy. Effects of age, sex, body mass index, abdominal surgery history, procedure indication (screening, surveillance, or diagnostic), procedure session (morning or afternoon), and endoscopist’s experience (fellow or attending) on TPT were evaluated using multiple regression analysis. A p<0.05 was considered significant. RESULTS: A total of 1,239 subjects satisfied the inclusion/exclusion criteria. Women, older individuals, and those with a history of abdominal surgery were found to have a shorter TPT (p>0.05) as did afternoon session colonoscopies (p=0.004). Less experienced endoscopists had longer TPTs (p>0.05). Screening (p=0.01) and surveillance (p=0.008) colonoscopies had a longer TPT than diagnostic procedures. Overall, the F-value of the regression model was 0.0009. CONCLUSIONS: The indication for colonoscopy and the time of day have statistically significant associations with TPT. These results will help in streamlining workflow, reduce wait time, and improve patient satisfaction.
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spelling pubmed-51527812016-12-13 Predicting Colonoscopy Time: A Quality Improvement Initiative Jain, Deepanshu Goyal, Abhinav Zavala, Stacey Clin Endosc Original Article BACKGROUND/AIMS: There is lack of consensus on the optimal time allotted for colonoscopy, which increases patient wait times. Our aim was to identify and quantify the individual pre-procedural factors that determine the total procedure time (TPT) of colonoscopy. METHODS: This retrospective study involved 4,494 subjects, undergoing outpatient colonoscopy. Effects of age, sex, body mass index, abdominal surgery history, procedure indication (screening, surveillance, or diagnostic), procedure session (morning or afternoon), and endoscopist’s experience (fellow or attending) on TPT were evaluated using multiple regression analysis. A p<0.05 was considered significant. RESULTS: A total of 1,239 subjects satisfied the inclusion/exclusion criteria. Women, older individuals, and those with a history of abdominal surgery were found to have a shorter TPT (p>0.05) as did afternoon session colonoscopies (p=0.004). Less experienced endoscopists had longer TPTs (p>0.05). Screening (p=0.01) and surveillance (p=0.008) colonoscopies had a longer TPT than diagnostic procedures. Overall, the F-value of the regression model was 0.0009. CONCLUSIONS: The indication for colonoscopy and the time of day have statistically significant associations with TPT. These results will help in streamlining workflow, reduce wait time, and improve patient satisfaction. The Korean Society of Gastrointestinal Endoscopy 2016-11 2016-03-02 /pmc/articles/PMC5152781/ /pubmed/26996219 http://dx.doi.org/10.5946/ce.2015.110 Text en Copyright © 2016 Korean Society of Gastrointestinal Endoscopy This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Jain, Deepanshu
Goyal, Abhinav
Zavala, Stacey
Predicting Colonoscopy Time: A Quality Improvement Initiative
title Predicting Colonoscopy Time: A Quality Improvement Initiative
title_full Predicting Colonoscopy Time: A Quality Improvement Initiative
title_fullStr Predicting Colonoscopy Time: A Quality Improvement Initiative
title_full_unstemmed Predicting Colonoscopy Time: A Quality Improvement Initiative
title_short Predicting Colonoscopy Time: A Quality Improvement Initiative
title_sort predicting colonoscopy time: a quality improvement initiative
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5152781/
https://www.ncbi.nlm.nih.gov/pubmed/26996219
http://dx.doi.org/10.5946/ce.2015.110
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