Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models

Francesca Ieva () and Anna Paganoni ()

Health Care Management Science, 2015, vol. 18, issue 2, 166-172

Abstract: In this work we propose the use of a graphical diagnostic tool (the funnel plot) to detect outliers among hospitals that treat patients affected by Acute Myocardial Infarction (AMI). We consider an application to data on AMI hospitalizations recorded in the administrative databases of our regional district. The outcome of interest is the in-hospital mortality, a variable indicating if the patient has been discharged dead or alive. We then compare the results obtained by graphical diagnostic tools with those arising from fitting parametric mixed effects models to the same data. Copyright Springer Science+Business Media New York 2015

Keywords: Funnel plots; Generalized linear mixed models; In-hospital survival; Provider profiling; Acute Myocardial Infarction; MSC 62P10; MSC 90B50 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:kap:hcarem:v:18:y:2015:i:2:p:166-172

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DOI: 10.1007/s10729-013-9264-9

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