Predictive risk modelling in the Spanish population: a cross-sectional study.

ABSTRACT:

Background

An increase in chronic conditions is currently the greatest threat to human health and to the sustainability of health systems. Risk adjustment systems may enable population stratification programmes to be developed and become instrumental in implementing new models of care.The objectives of this study are to evaluate the capability of ACG-PM, DCG-HCC and CRG-based models to predict healthcare costs and identify patients that will be high consumers and to analyse changes to predictive capacity when socio-economic variables are added.

Methods

This cross-sectional study used data of all Basque Country citizens over 14 years of age (n = 1,964,337) collected in a period of 2 years. Data from the first 12 months (age, sex, area deprivation index, diagnoses, procedures,

SUBMITTER: Orueta JF 

PROVIDER: S-EPMC3750562 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature