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Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach

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Statistical Models for Data Analysis

Abstract

In this work, we develop Bayes rules for several families of loss functions for hospital report cards under a Bayesian semiparametric hierarchical model. Moreover, we present some robustness analysis with respect to the choice of the loss function, focusing on the number of hospitals our procedure identifies as “unacceptably performing”. The analysis is carried out on a case study dataset arising from MOMI2 (Month MOnitoring Myocardial Infarction in MIlan) survey on patients admitted with ST-Elevation Myocardial Infarction to the hospitals of Milan Cardiological Network. The major aim of this work is the ranking of the health-care providers performances, together with the assessment of the role of patients’ and providers’ characteristics on survival outcome.

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Author information

Authors and Affiliations

  1. Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milano, Italy

    Alessandra Guglielmi, Francesca Ieva & Anna Maria Paganoni

  2. CNR IMATI Milano, via Bassini 15, 20133, Milano, Italy

    Fabrizio Ruggeri

Authors
  1. Alessandra Guglielmi
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  2. Francesca Ieva
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  3. Anna Maria Paganoni
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  4. Fabrizio Ruggeri
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Corresponding author

Correspondence to Alessandra Guglielmi .

Editor information

Editors and Affiliations

  1. Department of Economics, and Management, University of Pavia, Via San Felice 7, Pavia, 27100, Italy

    Paolo Giudici

  2. Department of Economics, and Business, University of Catania, Corso Italia 55, Catania, 95129, Italy

    Salvatore Ingrassia

  3. , Department of Statistics, University of Rome "La Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy

    Maurizio Vichi

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© 2013 Springer International Publishing Switzerland

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Guglielmi, A., Ieva, F., Paganoni, A.M., Ruggeri, F. (2013). Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach. In: Giudici, P., Ingrassia, S., Vichi, M. (eds) Statistical Models for Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00032-9_17

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