Unknown

Dataset Information

Using electronic health records to predict costs and outcomes in stable coronary artery disease.


ABSTRACT:

Objectives

To use electronic health records (EHR) to predict lifetime costs and health outcomes of patients with stable coronary artery disease (stable-CAD) stratified by their risk of future cardiovascular events, and to evaluate the cost-effectiveness of treatments targeted at these populations.

Methods

The analysis was based on 94 966 patients with stable-CAD in England between 2001 and 2010, identified in four prospectively collected, linked EHR sources. Markov modelling was used to estimate lifetime costs and quality-adjusted life years (QALYs) stratified by baseline cardiovascular risk.

Results

For the lowest risk tenth of patients with stable-CAD, predicted discounted remaining lifetime healthcare costs and QALYs were £62 210 (95% CI £33 724 to £90 043) and 12.

SUBMITTER: Asaria M 

PROVIDER: S-EPMC4849559 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature