TY - JOUR
T1 - Identification of Heart Failure Events in Medicare Claims
T2 - The Atherosclerosis Risk in Communities (ARIC) Study
AU - Kucharska-Newton, Anna M.
AU - Heiss, Gerardo
AU - Ni, Hanyu
AU - Stearns, Sally C.
AU - Puccinelli-Ortega, Nicole
AU - Wruck, Lisa M.
AU - Chambless, Lloyd
N1 - Publisher Copyright:
© 2016 Elsevier Inc. All rights reserved.
PY - 2016
Y1 - 2016
N2 - Background We examined the accuracy of Medicare heart failure (HF) diagnostic codes in the identification of acute decompensated (ADHF and chronic stable (CSHF) HF. Methods and Results Hospitalizations were identified from medical discharge records for Atherosclerosis Risk in Communities (ARIC) study participants with linked Medicare Provider Analysis and Review (MedPAR) files for the years 2005-2009. The ARIC study classification of ADHF and CSHF, based on adjudicated review of medical records, was considered to be the criterion standard. A total 8,239 ARIC medical records and MedPAR records meeting fee-for-service (FFS) criteria matched on unique participant ID and date of discharge (68.5% match). Agreement between HF diagnostic codes from the 2 data sources found in the matched records for codes in any position (κ > 0.9) was attenuated for primary diagnostic codes (κ < 0.8). Sensitivity of HF diagnostic codes found in Medicare claims in the identification of ADHF and CSHF was low, especially for the primary diagnostic codes. Conclusion Matching of hospitalizations from Medicare claims with those obtained from abstracted medical records is incomplete, even for hospitalizations meeting FFS criteria. Within matched records, HF diagnostic codes from Medicare show excellent agreement with HF diagnostic codes obtained from medical record abstraction. The Medicare data may, however, overestimate the occurrence of hospitalized ADHF or CSHF.
AB - Background We examined the accuracy of Medicare heart failure (HF) diagnostic codes in the identification of acute decompensated (ADHF and chronic stable (CSHF) HF. Methods and Results Hospitalizations were identified from medical discharge records for Atherosclerosis Risk in Communities (ARIC) study participants with linked Medicare Provider Analysis and Review (MedPAR) files for the years 2005-2009. The ARIC study classification of ADHF and CSHF, based on adjudicated review of medical records, was considered to be the criterion standard. A total 8,239 ARIC medical records and MedPAR records meeting fee-for-service (FFS) criteria matched on unique participant ID and date of discharge (68.5% match). Agreement between HF diagnostic codes from the 2 data sources found in the matched records for codes in any position (κ > 0.9) was attenuated for primary diagnostic codes (κ < 0.8). Sensitivity of HF diagnostic codes found in Medicare claims in the identification of ADHF and CSHF was low, especially for the primary diagnostic codes. Conclusion Matching of hospitalizations from Medicare claims with those obtained from abstracted medical records is incomplete, even for hospitalizations meeting FFS criteria. Within matched records, HF diagnostic codes from Medicare show excellent agreement with HF diagnostic codes obtained from medical record abstraction. The Medicare data may, however, overestimate the occurrence of hospitalized ADHF or CSHF.
KW - Heart failure
KW - Medicare claims
KW - diagnostic codes
KW - validation
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U2 - 10.1016/j.cardfail.2015.07.013
DO - 10.1016/j.cardfail.2015.07.013
M3 - Article
C2 - 26211720
AN - SCOPUS:84940888146
SN - 1071-9164
VL - 22
SP - 48
EP - 55
JO - Journal of Cardiac Failure
JF - Journal of Cardiac Failure
IS - 1
ER -