Risk adjustment for cesarean delivery rates: how many variables do we need? An observational study using administrative databases.

ABSTRACT:

Background

Various studies indicate that inter-hospital comparisons have to take case mix into account and that risk adjustment procedures are necessary to control for potential predictors of cesarean delivery (CD). Different data sources have been used to retrieve information on potential predictors of CD. The aim of this study was to compare the discrimination capacity and fit of predictive models of CD created using different sources and to assess whether more complex models improve inter-hospital comparisons.

Methods

We created 4 predictive models of CD. One model included only variables from Hospital Discharge Records of the index hospitalization, one included also information from previous hospitalizations, one also clinical variables from birth certificates (BC) and o

SUBMITTER: Stivanello E 

PROVIDER: S-EPMC3554564 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature