Wang LW, Lin H, Xin L, Qian W, Wang TJ, Zhang JZ, Meng QQ, Tian B, Ma XD, Li ZS. Establishing a model to measure and predict the quality of gastrointestinal endoscopy. World J Gastroenterol 2019; 25(8): 1024-1030 [PMID: 30833807 DOI: 10.3748/wjg.v25.i8.1024]
Corresponding Author of This Article
Zhao-Shen Li, MD, Attending Doctor, Digestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai 200433, China. lizhaoshenmd@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Evidence-Based Medicine
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. Feb 28, 2019; 25(8): 1024-1030 Published online Feb 28, 2019. doi: 10.3748/wjg.v25.i8.1024
Table 1 Description of outcome variables and predictor variables
Individual endoscopist-related
Endoscopy division-related
Outcome variable
Occurrence of medical malpractice and patient disturbance
Incidence of endoscopic complications
Predictor variable
Length of experience in endoscopy
Length of experience in endoscopy
Workload (weekly working hours)
Ratio of endoscopists to nurses
Workload (weekly night shifts)
Workload (annual vacation days)
Job satisfaction
Endoscopist status (part- or full-time)
Table 2 Results of multivariable logistic regression analysis for occurrence of medical malpractice and patient disturbance
Impact factors
OR (95%CI)
P value
Length of experience in endoscopy
0.77 (0.75-0.78)
< 0.0001
Workload as weekly working hours
0.90 (0.86-0.94)
< 0.0001
Workload as weekly night shifts
0.96 (0.92-0.99)
0.0132
Workload as annual vacation days
1.02 (1.0-1.03)
0.0178
Job satisfaction
2.24 (2.12-2.36)
< 0.0001
Table 3 Results of regression analysis for incidence of endoscopic retrograde cholangiopancreatography-related complications
Impact factors
Linear regression analysis
Nonlinear (root) regression analysis
Nonlinear (square) regression analysis
Nonlinear (log) regression analysis
Coefficient
P value
Coefficient
P value
Coefficient
P value
Coefficient
P value
Intercept
0.0326
0.0000
0.0343
0.0022
0.0312
0.0000
0.0222
0.0888
Length of experience in endoscopy
0.0000
0.9895
0.0007
0.7124
-0.0000
0.5579
0.0029
0.4635
Ratio of endoscopists to nurses
-0.0018
0.1499
-0.0065
0.1307
-0.0001
0.3407
-0.0048
0.1389
Table 4 Results of regression analysis for incidence of gastroscopy/colonoscopy-related complications
Impact factor
Linear regression analysis
Nonlinear (root) regression analysis
Nonlinear (square) regression analysis
Nonlinear (log) regression analysis
Coefficient
P value
Coefficient
P value
Coefficient
P value
Coefficient
P value
Intercept
0.0064
0.0000
0.0075
0.0057
0.0059
0.0000
0.0070
0.0173
Length of experience in endoscopy
-0.0000
0.4461
-0.0003
0.5274
-0.0000
0.4250
-0.0006
0.5821
Ratio of endoscopists to nurses
-0.0000
0.8001
-0.0005
0.6422
-0.0000
0.8793
-0.0002
0.8611
Citation: Wang LW, Lin H, Xin L, Qian W, Wang TJ, Zhang JZ, Meng QQ, Tian B, Ma XD, Li ZS. Establishing a model to measure and predict the quality of gastrointestinal endoscopy. World J Gastroenterol 2019; 25(8): 1024-1030