FUNCTIONAL OUTCOME IN HOME HEALTH AMONG TRADITIONAL MEDICARE AND MEDICARE ADVANTAGE BENEFICIARIES WITH DEMENTIA

Abstract This study examines the difference in functional outcomes among Traditional Medicare (TM) and Medicare Advantage (MA) beneficiaries with Alzheimer’s disease and related dementias (ADRD) during a home health admission, which is unknown. This cohort study used data from the 2019 Outcome and Assessment Information Set (OASIS) and Medicare claims (Home Health (HH) and inpatient), enrollment, and Chronic Condition Warehouse (CCW) files from the CMS. Functional outcome was measured as a change in the composite ADL score (grooming, bathing, toileting, dressing, walking, transferring, ambulation, and hygiene) from HH admission to discharge. A binary logistic model with an outcome variable (1/0: if the composite score was ≤0 (improvement or static) at discharge (1), and 0 if score >0 (decline) from HH admission to discharge) was estimated. The independent predictor was a binary indicator of MA enrollment (if enrolled ≥1 month in 2019). The ADRD cohort was identified based on CCW criteria and ICD-10 codes from inpatient and HH claims. The analysis included 81,735 Medicare beneficiaries; 30.5% had MA, and 69.5% had TM. There was no difference in the number of HH visits between TM and MA enrollees (2.14 vs. 2.13; P=0.39). Adjusting for patients’ demographics, total number of diagnoses, and availability of caregiving support, MA enrollees were 26% less likely to report improvement or maintenance of ADL composite score (95% CI: 0.71-0.77) than TM. A less favorable outcome for MA enrollees highlights the importance of addressing the inefficient use of home health services among people with ADRD in MA.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2024-12-01
DOI
https://doi.org/10.1093/geroni/igae098.3572
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FUNCTIONAL OUTCOME IN HOME HEALTH AMONG TRADITIONAL MEDICARE AND MEDICARE ADVANTAGE BENEFICIARIES WITH DEMENTIA

Rashmita Basu
Innovation in Aging
Health and Wellbeing Research
article

FUNCTIONAL OUTCOME IN HOME HEALTH AMONG TRADITIONAL MEDICARE AND MEDICARE ADVANTAGE BENEFICIARIES WITH DEMENTIA

Rashmita Basu
article en

Abstract

Abstract This study examines the difference in functional outcomes among Traditional Medicare (TM) and Medicare Advantage (MA) beneficiaries with Alzheimer’s disease and related dementias (ADRD) during a home health admission, which is unknown. This cohort study used data from the 2019 Outcome and Assessment Information Set (OASIS) and Medicare claims (Home Health (HH) and inpatient), enrollment, and Chronic Condition Warehouse (CCW) files from the CMS. Functional outcome was measured as a change in the composite ADL score (grooming, bathing, toileting, dressing, walking, transferring, ambulation, and hygiene) from HH admission to discharge. A binary logistic model with an outcome variable (1/0: if the composite score was ≤0 (improvement or static) at discharge (1), and 0 if score >0 (decline) from HH admission to discharge) was estimated. The independent predictor was a binary indicator of MA enrollment (if enrolled ≥1 month in 2019). The ADRD cohort was identified based on CCW criteria and ICD-10 codes from inpatient and HH claims. The analysis included 81,735 Medicare beneficiaries; 30.5% had MA, and 69.5% had TM. There was no difference in the number of HH visits between TM and MA enrollees (2.14 vs. 2.13; P=0.39). Adjusting for patients’ demographics, total number of diagnoses, and availability of caregiving support, MA enrollees were 26% less likely to report improvement or maintenance of ADL composite score (95% CI: 0.71-0.77) than TM. A less favorable outcome for MA enrollees highlights the importance of addressing the inefficient use of home health services among people with ADRD in MA.

Innovation in AgingVol. 8(Supplement_1)
East Carolina University (US)
Openalex Percentile: Top 56%
Health and Wellbeing Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.