Effects of Global Budget Payments on Vulnerable Medicare Subpopulations in Maryland.


Journal

Medical care research and review : MCRR
ISSN: 1552-6801
Titre abrégé: Med Care Res Rev
Pays: United States
ID NLM: 9506850

Informations de publication

Date de publication:
08 2022
Historique:
pubmed: 27 10 2021
medline: 25 6 2022
entrez: 26 10 2021
Statut: ppublish

Résumé

There is little evidence regarding population equity in alternative payment models (APMs). We aimed to determine whether one such APM, the Maryland All-Payer Model (MDAPM), had differential effects on subpopulations of vulnerable Medicare beneficiaries. We utilized Medicare fee-for-service claims for beneficiaries living in Maryland and 48 comparison hospital market areas between 2011 and 2018. We used doubly robust difference-in-difference-in-differences regression models to estimate the differential effects of MDAPM on Medicare beneficiaries by dual eligibility for Medicare and Medicaid, disability as original reason for Medicare entitlement, presence of multiple chronic conditions (MCC), race, and rural residency status. Dual, disabled, and beneficiaries with MCC had greater reductions in expenditures and utilization than their counterparts. Hospitals may have prioritized high-cost, high-need patients as they changed their care delivery practices. The percentage of hospital discharges with 14-day follow-up was significantly lower for disadvantaged subpopulations, including duals, disabled, and non-White.

Identifiants

pubmed: 34698554
doi: 10.1177/10775587211052748
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

535-548

Auteurs

Samuel H Masters (SH)

RTI International, Research Triangle Park, NC, USA.

Regina I Rutledge (RI)

RTI International, Research Triangle Park, NC, USA.

Marisa Morrison (M)

RTI International, Research Triangle Park, NC, USA.

Heather A Beil (HA)

RTI International, Research Triangle Park, NC, USA.

Susan G Haber (SG)

RTI International, Research Triangle Park, NC, USA.

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Classifications MeSH