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Identifying chronic conditions in Medicare claims data: evaluating the Chronic Condition Data Warehouse algorithm.

Yelena Gorina¹, Ellen A Kramarow

¹Centers for Disease Control and Prevention, National Center for Health Statistics, Office of Analysis and Epidemiology, 3311 Toledo Road, Room 6332, Hyattsville, MD 20782, USA.

Health Services Research

|June 9, 2011

Summary

The Chronic Condition Data Warehouse (CCW) algorithm accurately identifies some chronic conditions but may underestimate others, like arthritis, potentially affecting prevalence estimates in Medicare data.

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Area of Science:

Gerontology
Health Services Research
Biostatistics

Background:

Medicare beneficiary data is crucial for understanding chronic conditions in older adults.
The Chronic Condition Data Warehouse (CCW) algorithm is a key tool for identifying these conditions.
Accurate identification of chronic conditions is essential for health policy and research.

Purpose of the Study:

To evaluate the accuracy and limitations of the CCW algorithm in identifying chronic conditions among Medicare beneficiaries.
To assess the algorithm's performance for various chronic diseases and its reliance on historical claims data.
To determine the adequacy of CCW reference periods for different analytical needs.

Main Methods:

Utilized linked data from the NHANES I Epidemiologic Follow-up Study (NHEFS) and Medicare claims (1991-2000).
Estimated the proportion of preexisting chronic conditions correctly identified by the CCW algorithm.
Analyzed the number of years of claims data required to detect preexisting conditions.

Main Results:

The CCW algorithm identified 69% of preexisting diabetes cases but only 17% of preexisting arthritis cases.
Identified cases included a combination of preexisting and newly diagnosed conditions.
Algorithm performance varied significantly across different chronic conditions.

Conclusions:

The CCW algorithm may underestimate the prevalence of chronic conditions with lower healthcare utilization, such as arthritis.
The defined reference periods within the CCW may be insufficient for comprehensive analysis of all chronic conditions.
Further refinement of the CCW algorithm may be needed for accurate chronic disease surveillance in older populations.