Objective: To compare the performance of the Elixhauser, Charlson, and RxRisk-V
comorbidity indices and several simple count measurements, including counts of …

OBJECTIVE: To compare the ability of commonly used measures of medical comorbidity
(ambulatory care groups [ACGs], Charlson comorbidity index, chronic disease score …

The value of using health insurance claim database is continuously rising in healthcare
research. In studies where comorbidities act as a confounder, comorbidity adjustment holds …

Comorbidity, additional disease beyond the condition under study that increases a patient's
total burden of illness, is one dimension of health status. For investigators working with …

Objective. To compare the ability of different models to predict prospectively whether
someone will incur high medical expenditures. Data Source. Using nationally representative …

Background: Predicting health care costs for individuals and populations is essential for
managing care. However, the comparative power of diagnostic and drug data for predicting …

Background: Identifying appropriate comorbidity data sources is a key consideration in
health services and outcomes research. Objective: Using cancer patients as an example, we …

OBJECTIVE: The performance of standard comorbidity scores to control confounding is
poorly defined in health care utilization data across elderly populations. We sought to …

Objective: We extend the literature on comorbidity measurement by developing 2 indices,
based on the Elixhauser Comorbidity measures, designed to predict 2 frequently reported …

Objectives. This study attempts to develop a comprehensive set of comorbidity measures for
use with large administrative inpatient datasets. Methods. The study involved clinical and …