Developing and validating a novel multisource comorbidity score from administrative data: a large population-based cohort study from Italy.

ABSTRACT:

Objective

To develop and validate a novel comorbidity score (multisource comorbidity score (MCS)) predictive of mortality, hospital admissions and healthcare costs using multiple source information from the administrative Italian National Health System (NHS) databases.

Methods

An index of 34 variables (measured from inpatient diagnoses and outpatient drug prescriptions within 2 years before baseline) independently predicting 1-year mortality in a sample of 500 000 individuals aged 50 years or older randomly selected from the NHS beneficiaries of the Italian region of Lombardy (training set) was developed. The corresponding weights were assigned from the regression coefficients of a Weibull survival model. MCS performance was evaluated by using an internal (ie, another sample

SUBMITTER: Corrao G 

PROVIDER: S-EPMC5770918 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature