Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30)
Abstract
Objectives
To develop an algorithm for identifying inpatients at high risk of re-admission to a National Health Service (NHS) hospital in England within 30 days of discharge using information that can either be obtained from hospital information systems or from the patient and their notes.Design
Multivariate statistical analysis of routinely collected hospital episode statistics (HES) data using logistic regression to build...Paper Details
Title
Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30)
Published Date
Jan 1, 2012
Journal
Volume
2
Issue
4
Pages
e001667 - e001667
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History