Claims-based measures of comorbid illness severity have generally relied on the diagnoses
listed for a single hospitalization. Unfortunately, such diagnostic information is often limited …

PURPOSE: We evaluated (i) how combining comorbid conditions identified from Medicare
inpatient or physician claims into a single comorbidity index compared with three other …

Important comorbidities recorded on outpatient claims in administrative datasets may be
missed in analyses when only inpatient care is considered. Using the comorbid conditions …

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

The inter-rater reliability, cross-source (Medicare claims versus medical record) agreement,
and ability to predict all-cause mortality of three aggregate comorbidity indices were …

Background: Numerous measures of comorbidity have been developed for health services
research with administrative claims. Objective: We sought to compare the performance of 4 …

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

Comorbidity is an important confounder in epidemiologic studies. The authors compared the
predictive performance of comorbidity scores for use in epidemiologic research with …

Risk adjustment is essential in any study comparing patient outcomes or analyzing the
effectiveness of medical care, especially if patients are not randomly assigned to different …

Background The presence of comorbid medical conditions can significantly affect a cancer
patient's treatment options, quality of life, and survival. However, these important data are …