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Differences in the Measurement of Comorbidities Based on ICD-10-CM Coding Definitions Using Medicare Advantage
Emilie D Duchesneau1, Allison Musty1, Elyse Miller1,2
1Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC.
Medicare Advantage (MA) encounter data shows largely consistent comorbidity prevalence compared to Fee-For-Service (FFS) claims. This supports MA data reliability for aging research, though some coding variations warrant further study.
Area of Science:
- Gerontology
- Health Services Research
- Biostatistics
Background:
- Medicare Advantage (MA) encounter data, available since 2019, presents opportunities for research.
- Concerns regarding the quality and consistency of MA encounter data persist.
- Understanding comorbidity coding in MA versus traditional Fee-For-Service (FFS) is crucial for accurate health research.
Purpose of the Study:
- To evaluate the consistency of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) comorbidity coding between Medicare Advantage (MA) and Fee-For-Service (FFS) data.
- To assess the reliability of MA encounter data for research purposes by comparing it with FFS claims data.
Main Methods:
- Utilized data from the National Health and Aging Trends Study (NHATS) linked with Medicare enrollment, MA encounter, and FFS claims (2016-2017).
- Included participants with continuous enrollment in MA or FFS for one year prior to the study.
- Identified comorbidities using ICD-10-CM codes and estimated prevalence differences (PDs) after standardizing demographic and clinical covariates.
Main Results:
- After standardization, comorbidity prevalence was largely similar between MA and FFS beneficiaries.
- Peripheral vascular disorder and renal failure were more prevalent in MA beneficiaries.
- Fluid/electrolyte disorders and deficiency anemias showed higher prevalence in FFS beneficiaries, with other differences being minor.
Conclusions:
- Comorbidity prevalence is largely consistent between MA encounters and FFS claims, supporting MA data reliability for aging research.
- Observed discrepancies may stem from true differences or variations in coding practices influenced by provider incentives and documentation.
- Further validation studies are recommended to address remaining coding discrepancies.
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