Predicting risk of hospitalisation or death: a retrospective population-based analysis.

ABSTRACT:

Objectives

Develop predictive models using an administrative healthcare database that provide information for Patient-Centred Medical Homes to proactively identify patients at risk of hospitalisation for conditions that may be impacted through improved patient care.

Design

Retrospective healthcare utilisation analysis with multivariate logistic regression models.

Data

A population-based longitudinal database of residents served by the Emilia-Romagna, Italy, health service in the years 2004-2012 including demographic information and utilisation of health services by 3,726,380 people aged ≥18 years.

Outcome measures

Models designed to predict risk of hospitalisation or death in 2012 for problems that are potentially avoidable were developed and evaluated using th

SUBMITTER: Louis DZ 

PROVIDER: S-EPMC4166245 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature