Abstract TP80: Differences in Access to Post Acute Care Services Between Traditional Medicare and Medicare Advantage Beneficiaries in Michigan

Abstract

Introduction: In recent years, Medicare Advantage (MA) enrollment in the US has increased dramatically relative to traditional Medicare (TM). There is evidence to suggest that MA stroke patients are less likely to receive inpatient rehabilitation facility (IRF) based care in favor of home health. To evaluate potential gaps in quality of care, we compared post-acute care use patterns following hospitalization for acute stroke between TM and MA populations. Methods: We probabilistically linked data from Michigan’s Get With The Guidelines-Stroke registry and Michigan Value Collaborative multipayer claims data registry for 16,231 TM and MA beneficiaries discharged alive following acute stroke (ICD-10 I61-I63) between 2016-2020. We used discharge claims to identify the initial discharge destination classified as home, home health, IRF, skilled nursing facility (SNF) or other. Unadjusted differences in proportions and time trends between TM and MA populations were assessed using chi square statistical tests. Results: TM and MA-insured patients constituted 75.1% and 24.9% of the 16,231 stroke discharges, respectively. Compared with TM, MA beneficiaries were older (77.4 vs 75.8, P <0.001), less likely to be female (50.3% vs 55.3%, P <0.001), and more likely to be white (87.0% vs 82.4%, P <0.001). Over the study period, the proportion of MA patients increased from 21.2% in 2016 to 32.4% in 2020 ( P <0.001) (Table). Overall, significant differences in discharge destination were due to more MA patients discharged to home and home health ( P <0.001). Despite significant differences between MA and TM populations, there were no consistent time trends in discharge patterns. However, the exception was in 2020 where increased utilization of home health was accompanied by decreases in IRF and SNF discharge. Conclusions: We did not find clinically meaningful differences in discharge patterns between TM and MA populations. Changes in 2020 were likely attributed to COVID-19.