Objective To predict future medical expenditures, health care utilization, and mortality in
Switzerland using an updated chronic disease score (CDS), a chronic morbidity measure …

Purpose Health status is sometimes quantified by chronic condition (CC) scores calculated
from medical administrative data. We sought to modify two pharmacy‐based comorbidity …

Using population-based automated pharmacy data, patterns of use of selected prescription
medications during a 1 year time period identified by a consensus judgement process were …

Background Estimating the morbidity of a population is strategic for health systems to
improve healthcare. In recent years administrative databases have been increasingly used …

Background Valid methods of predicting resource utilization in primary care populations are
needed. We compared the predictive validity of a method based on diagnoses from …

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

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 …

Objective: We sought to evaluate several statistical modeling approaches in predicting
prospective total annual health costs (medical plus pharmacy) of health plan participants …

Background: Current research on the added value of self-reported health measures for risk
equalization modeling does not include all types of self-reported health measures; and/or is …

BACKGROUND: Nonfilling of prescribed medications is a worldwide problem of serious
concern. Studies of health care costs and utilization associated with medication …