Journal Article10.1016/J.GIE.2014.09.049
Identification of physicians with unusual performance in screening colonoscopy databases: a Bayesian approach
Christian Stock,Lorenz Uhlmann,Michael Hoffmeister,Gunter Laux,Meinhard Kieser,Hermann Brenner +5 more
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TL;DR: Bayesian random-effects modeling and Winsorization of potential outliers were applied to develop a robust model to demonstrate how physicians with unusual performance concerning the adenoma detection rate may be identified in screening colonoscopy databases.
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About: This article is published in Gastrointestinal Endoscopy. The article was published on 01 Mar 2015. The article focuses on the topics: Population.
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Citations
Costs of Clostridium difficile infection in pediatric operations: A propensity score-matching analysis.
Afif N. Kulaylat,Dorothy V. Rocourt,Abigail B. Podany,Brett W. Engbrecht,Marianne Twilley,Mary C. Santos,Robert E. Cilley,Christopher S. Hollenbeak,Peter W. Dillon +8 more
TL;DR: Given the increasing trend of C difficile infection among hospitalized surgical patients, there is substantial opportunity for reduction of inpatient burden and associated costs in this potentially preventable nosocomial infection.
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Optimizing Outcomes of Colorectal Cancer Screening
Reinier Meester
- 04 Jan 2017
TL;DR: Advanced modeling, informed by empirical data, was used to identify areas for improvement of screening programs and includes studies on the effect of the test used for screening, long-term adherence with screening, the quality of colorectal examinations, time to diagnostic examination, and risk-stratified screening.
Vorsorgekoloskopie – ein Erfolgsmodell in Deutschland
Hermann Brenner
- 01 Jan 2020
TL;DR: In Deutschland, the Vorsorgekoloskopie wurde eingefuhrt in 2002, bei mittlerweile mehr als 50 % and hinter den USA im internationalen Vergleich an zweiter Stelle.
1
[Screening colonoscopy--a success story].
TL;DR: In this paper, a Vorsorgekoloskopie in Anspruch verhindert werden, wie gut wird dieses Angebot in der Bevolkerung angenommen?
Trends in Adenoma Detection Rates During the First 10 Years of the German Screening Colonoscopy Program.
Hermann Brenner,Lutz Altenhofen,Jens Kretschmann,Thomas Rösch,Christian Pox,Christian Stock,Michael Hoffmeister +6 more
TL;DR: A steady and strong increase in rate of detection of nonadvanced adenomas in both sexes and all age groups is observed in Germany from 2003 through 2012, although the effects of secular trends in colorectal neoplasm prevalence cannot be excluded.
References
Reliability of adenoma detection rate is based on procedural volume
TL;DR: How a confidence interval (CI)-based approach can suggest minimum numbers for ADR calculations and provide a reasonable method for comparing ADRs and the mean number of adenomas per procedure (MAP) when relying on limited numbers of procedures is illustrated.
Approximate cross-validatory predictive checks in disease mapping models.
TL;DR: An importance sampling approximation is considered that can be improved upon through replication of both random effects and data and may aid the criticism of any Bayesian hierarchical model.
A hierarchical modelling framework for identifying unusual performance in health care providers
TL;DR: This work outlines a broad three‐stage strategy of exploratory detection of unusual providers, detailed modelling robust to potential outliers and confirmation of unusual performance, illustrated by using two detailed examples.
Process quality and incidence of acute complications in a series of more than 230,000 outpatient colonoscopies.
TL;DR: Outpatient colonoscopy is a safe procedure with a low risk of acute complications and improving bowel preparation enhances completeness, and sedation/analgesia is conducive to both completeness and the lowering of the risk of severe complications.
•Book
Bayesian Statistical Modelling
Peter Congdon
- 02 May 2001
TL;DR: In this article, Congdon's Bayesian Statistical Modelling is used as a reference source for Bayesian models and literature, and a large number of models, e.g., for standard distributions, classification, regression, hierarchical pooling of information, missing data, correlated data, multivariate data, time series, spatial data, longitudinal data, measurement error, life table and survival analysis.
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