A predictive model of hospitalization cost after cerebral aneurysm clipping.

ABSTRACT:

Background

Cost containment is the cornerstone of the Affordable Care Act. Although studies have compared the cost of cerebral aneurysm clipping (CAC) and coiling, they have not focused on identification of drivers of cost after CAC, or prediction of its magnitude. The objective of the present study was to develop and validate a predictive model of hospitalization cost after CAC.

Methods

We performed a retrospective study involving CAC patients who were registered in the Nationwide Inpatient Sample (NIS) database from 2005 to 2010. The two cohorts of ruptured and unruptured aneurysms underwent 1:1 randomization to create derivation and validation subsamples. Regression techniques were used for the creation of a parsimonious predictive model.

Results

Of the 7798 patien

SUBMITTER: Bekelis K 

PROVIDER: S-EPMC5224932 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature