Proton-pump inhibitors (PPI) are one of the most prescribed medication worldwide. Even if they are largely recognized as a safe drug, long-term use can lead to an increased risk of collateral disease. Funnel plots have been proposed as a useful tool for assessing and visualizing surveillance data about PPI prescriptions. We studied a way to operate funnel plot analyses on both raw PPI patient rates and adjusted rates considering the effects of risk factors. Taking as a case study the German region of Saarland during 2010, 2013 and 2016, we showed that funnel plots of raw rates and of risk adjusted rates lead to partially different conclusions that can be proficiently compared and discussed.

Proton-Pump Inhibitor Provider Profiling via Funnel Plots and Poisson Regression

Dario Delle Vedove;Francesca Ieva;Anna Maria Paganoni
2020

Abstract

Proton-pump inhibitors (PPI) are one of the most prescribed medication worldwide. Even if they are largely recognized as a safe drug, long-term use can lead to an increased risk of collateral disease. Funnel plots have been proposed as a useful tool for assessing and visualizing surveillance data about PPI prescriptions. We studied a way to operate funnel plot analyses on both raw PPI patient rates and adjusted rates considering the effects of risk factors. Taking as a case study the German region of Saarland during 2010, 2013 and 2016, we showed that funnel plots of raw rates and of risk adjusted rates lead to partially different conclusions that can be proficiently compared and discussed.
Book of short papers - SIS 2020
9788891910776
Funnel Plot,Poisson Regression, Proton-PumpInhibitor, Public Health, Provider Profiling, Over-Dispersion, Outliers
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1149747
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