Identifying Chronic Conditions in Medicare Claims Data: Evaluating the Chronic Condition Data Warehouse Algorithm

Identifying and Classifying Children With Chronic Conditions Using Administrative Data

Objective.—To identify and categorize children with chronic health conditions using administrative data. Methods.—The Clinical Risk Groups (CRGs) system is used to classify children, aged 0–18 years, in a mid-sized health plan into mutually exclusive categories and severity groups. Enrollees are categorized into 9 health status groups— healthy, significant acute, and 7 chronic conditions—and ar...

Methods for identifying 30 chronic conditions: application to administrative data

BACKGROUND Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive and apply a new scheme for using administrative data to identify the presence of chronic conditions and multimorbidity. METHODS We identified validated algorithms that use ICD...

Identifying diabetics in Medicare claims and survey data: implications for health services research

BACKGROUND Diabetes health services research often utilizes secondary data sources, including survey self-report and Medicare claims, to identify and study the diabetic population, but disagreement exists between these two data sources. We assessed agreement between the Chronic Condition Warehouse diabetes algorithm for Medicare claims and self-report measures of diabetes. Differences in health...

Linking individual medicare health claims data with work-life claims and other administrative data

BACKGROUND Researchers investigating health outcomes for populations over age 65 can utilize Medicare claims data, but these data include no direct information about individuals' health prior to age 65 and are not typically linkable to files containing data on exposures and behaviors during their worklives. The current paper is a proof-of-concept, of merging employers' administrative data and p...

A minimum data set for chronic venous disease