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
2020-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
