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

Keywords

Statistical learning
Health Analytics
Code:
26/2013
Title:
Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models
Date:
Wednesday 29th May 2013
Author(s):
Ieva, F.; Paganoni, A.M.
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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 arising from administrative databases. 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.
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Health Care Management Science, Special Issue IMA 2013. doi: 10.1007/s10729-013-9264-9;