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©The Author(s) 2019.
World J Gastroenterol. Feb 28, 2019; 25(8): 1024-1030
Published online Feb 28, 2019. doi: 10.3748/wjg.v25.i8.1024
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
- URL: https://www.wjgnet.com/1007-9327/full/v25/i8/1024.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i8.1024