REVIEW OF COMORBIDITY MEASURES TO PREDICT ECONOMIC OUTCOMES IN REAL-LIFE DATABASE STUDIES

Author(s)

Guelfucci F1, Bessou A2, Aballea S1
1Creativ-Ceutical, Paris, France, 2National School For Statistics and Information Analysis (ENSAI), BRUZ, France

OBJECTIVES: Generic comorbidity measures developed to predict mortality and/or healthcare costs are often used as adjustment covariates in observational studies comparing health expenditures between different therapeutic strategies. The objective of this review is to identify available measures, and assess their performance for prediction of economic outcomes using large longitudinal patient databases. METHODS: We conducted a comprehensive literature search in MEDLINE, until April 2015. All methodological papers describing a new comorbidity measure or assessing their ability to predict economic outcomes using administrative data or electronic medical records were selected. We search for additional studies through references lists of selected articles. We extracted information on the conditions for using each index and predictive performance. RESULTS:

Conference/Value in Health Info

2015-11, ISPOR Europe 2015, Milan, Italy

Value in Health, Vol. 18, No. 7 (November 2015)

Code

PRM59

Topic

Real World Data & Information Systems

Topic Subcategory

Reproducibility & Replicability

Disease

Multiple Diseases

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×