Ontology highlight
ABSTRACT: Objective
To improve the predictions provided by Medicare's Hospital Compare (HC) to facilitate better informed decisions regarding hospital choice by the public.Data sources/setting
Medicare claims on all patients admitted for Acute Myocardial Infarction between 2009 through 2011.Study design
Cohort analysis using a Bayesian approach, comparing the present assumptions of HC (using a constant mean and constant variance for all hospital random effects), versus an expanded model that allows for the inclusion of hospital characteristics to permit the data to determine whether they vary with attributes of hospitals, such as volume, capabilities, and staffing. Hospital predictions are then created using directly standardized estimates to facilitate comparisons between ho
SUBMITTER: Silber JH
PROVIDER: S-EPMC4874942 | biostudies-literature | 2016 Jun
REPOSITORIES: biostudies-literature