An evaluation of the variability of episiotomy rates across hospitals: the case of Sardinia

Authors

  • Massimo Cannas Department of Economics and Management, University of Cagliari
  • Emiliano Sironi Department of Statistical Sciences, Catholic University (Milan)

Keywords:

Episiotomy, Variation in intervention rates across hospitals, Multilevel models.

Abstract

The aim of this paper is to assess the extent of variation in the use of episiotomy across hospitals and to evaluate how much of this variation can be explained by case-mix factors. Using ocial hospital abstracts on deliveries occurred in the hospitals of the Italian region of Sardinia during 2009, we implement a multilevel logistic model in order to predict the likelihood of an episiotomy from a set of covariates which includes both socio-demographic and clinical indices. Results suggest that, with the exception of education, socio-demographic variables were not signicant in determining episiotomy while several clinical predictors were signicant. Our main nding is that almost half of the variation in episiotomy rates remains unexplained after conditioning on clinical indicators and socio-demographic factors.

Author Biographies

Massimo Cannas, Department of Economics and Management, University of Cagliari

Emiliano Sironi, Department of Statistical Sciences, Catholic University (Milan)

Downloads

Published

28-12-2013