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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: J Am Geriatr Soc. 2017 Feb 15;65(4):712–720. doi: 10.1111/jgs.14539

Table 1.

Characteristics of Chronic Condition Classification Measures

Chronic Condition Data Warehouse (CCW) Charlson Comorbidity Index (CCI) Johns Hopkins Adjusted Clinical Groups® (ACG®) Case-Mix Systema Medicare Advantage Special Needs Plan Chronic Conditions (c-SNP)
Total Possible Chronic Conditions (n) 21 (19 for men, 20 for women) 17 119 15
Timeframe Total years of Medicare enrollment 1 year 1 year 1 year
Original Purpose Prevalence/Cohort Identification for Research Purposes Mortality Prediction Prevalence/Cohort Identification for Research Purposesa Select Medicare Advantage beneficiaries eligible for enhanced clinical services
Reference Centers for Medicare and Medicaid Services (2005) Klabunde et al (2000) Johns Hopkins University (2009) Pope et al (2011), Centers for Medicare and Medicaid Servicesb
a

Expanded Diagnoses Clusters™ (EDCs™) are intended to be used for investigating the epidemiology of diseases within populations in contrast to the Johns Hopkins Adjusted Clinical Groups® Case-Mix System Aggregated Diagnosis Groups™ (ADGs®), which are actuarial cells designed for risk prediction modeling that include information about condition duration, severity, diagnostic certainty, etiology, and specialty care required.

b

The c-SNPs were derived from Hierarchical Condition Categories (HCCs) (version 22) using a previously published strategy for deriving c-SNPs from version 12 HCCs.16 We used the Taylor Flag34 for dementia since dementia is a c-SNP condition that does not have an equivalent HCC in the HCC community claims model. The 15 c-SNP conditions are currently being used by Medicare Advantage health insurance plans to identify beneficiaries eligible for enhanced care coordination services via physician verification of eligibility criteria rather than from claims data algorithms.21