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Differences in the Measurement of Comorbidities Based on ICD-10-CM Coding Definitions Using Medicare Advantage Encounter Data and Fee-For-Service Claims

Datos Bibliográficos

ID9099985
AutoresEmilie D Duchesneau (0000-0002-0974-8539, Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, autor de correspondencia), Allison Musty (Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, autor de correspondencia), Elyse Miller (Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, autor de correspondencia), Anna Kuzma (Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC), Anna G Kuzma (Wake Forest University, autor de correspondencia), Bailey Reutinger (Department of Surgery, Section on Hypertension, Wake Forest University School of Medicine, Winston-Salem, NC), Til Stürmer (0000-0002-9204-7177, University of North Carolina at Chapel Hill), Amresh Hanchate (0000-0002-7038-4463, Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC), Dae Hyun Kim (0000-0002-7313-2384, Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA), Michael Webster-Clark (Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC), Michael Webster‐Clark (0000-0002-8079-8504, Wake Forest University, autor de correspondencia), Meng-Yun Lin (Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC), Jennifer L Lund (0000-0002-1108-0689, University of North Carolina at Chapel Hill)
Año2026
Volumen64
Número3
Páginas143-152
Fecha de publicación2026-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000002282
PMID41557539
OpenAlexW7125136732
IdiomaEN
Referencias citadas35

BACKGROUND: Medicare Advantage (MA) encounter data became available for research in 2019; data quality concerns remain. OBJECTIVES: We evaluated the consistency of ICD-10-CM comorbidity coding between MA and Fee-For-Service (FFS) data. METHODS: We used round 7 (2017) of the National Health and Aging Trends Study (NHATS) linked to Medicare enrollment, MA encounter, and FFS claims (2016-2017). We included participants continuously enrolled in MA or FFS for 1 year before round 7. Comorbidities were identified using ICD-10-CM codes from the Gagne combined comorbidity index. Demographic, socioeconomic, and clinical covariates from NHATS for FFS beneficiaries were standardized to resemble those for MA beneficiaries. We estimated crude and standardized comorbidity prevalence differences (PDs) between MA and FFS beneficiaries. RESULTS: Among 5158 beneficiaries (MA: 40%, FFS: 60%), MA beneficiaries were more likely to be Black, Hispanic, and socioeconomically disadvantaged. After standardization, comorbidity prevalence was similar between groups. Peripheral vascular disorder (PD=7.2%, 95% CI: 3.8%-10.6%) and renal failure (PD=3.7%, 95% CI: 0.9%-6.5%) were more common in MA beneficiaries; fluid/electrolyte disorders (PD=-3.2%, 95% CI: -5.5 to -1.0%) and deficiency anemias (PD=-5.0%, 95% CI: -7.6 to -2.3%) were more common in FFS beneficiaries. Other PDs were less than 3 percentage points. CONCLUSIONS: Discrepancies in comorbidity prevalence may reflect true differences or coding variations influenced by provider incentives, documentation standards, or diagnostic priorities. Comorbidity prevalence was largely consistent between MA encounters and FFS claims, supporting the reliability of MA encounter data for aging research. Additional validation studies should address remaining discrepancies

Coding (social sciences) · Comorbidity · Diagnosis code · Documentation · Medicare Advantage · MEDLINE · Reliability (semiconductor) · Chronic Disease Management Strategies · Healthcare Policy and Management · Medical Coding and Health Information

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