Evidence map›Paper›PMID 39088333›Full record

ArticleJournal of managed care & specialty pharmacy2024

Total cost of care of Medicare Advantage beneficiaries participating in an appointment-based model in a national pharmacy chain.

Heidi Luder, Josilaida Lawrence, Shirley Musich, Jennifer Friderici, Katherine Andrade, Casey Reed, Jinma Ren, Rachel Halpern

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Heidi LuderPfizer Inc., New York, NY.
Josilaida LawrenceOptum Life Sciences, Eden Prairie, MN.
Shirley MusichOptum Life Sciences, Eden Prairie, MN.
Jennifer FridericiOptum Life Sciences, Eden Prairie, MN.
Katherine AndradeOptum Life Sciences, Eden Prairie, MN.
Casey ReedPfizer Inc., New York, NY.
Jinma RenPfizer Inc., New York, NY.
Rachel HalpernOptum Life Sciences, Eden Prairie, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe appointment-based model (ABM) is a pharmacy service to improve medication-related health outcomes. ABM involves medication synchronization and medication review, plus other services such as medication reconciliation, medication therapy management, vaccine administration, and multimedication packaging. ABM can improve medication adherence, but the economic impact is unknown.

objectiveTo assess the effect of a national pharmacy chain's ABM program for Medicare Advantage beneficiaries on total cost of care (TCOC).

methodsThis study analyzed administrative claims data from April 7, 2017, through February 29, 2020, for Medicare Advantage beneficiaries with Part D using a propensity score-matched cohort design. The national pharmacy chain provided a list of ABM participants. Eligibility criteria for the ABM and control (non-ABM) groups included age 65 years or older on the index date (initial participation, ABM; random fill date, control) and continuous enrollment from at least 6 months pre-index (baseline) date through at least 6 months post-index (follow-up) date. Medical inflation-adjusted (2020) TCOC was calculated as the sum of all health care spending from Medicare Advantage beneficiaries with Part D plan and patient paid amounts, standardized to per patient per month (PPPM), during the follow-up period. Secondary outcomes included medication adherence calculated across prevalent maintenance therapeutic classes using proportion of days covered (PDC).

resultsEach group contained 5,225 patients with balanced characteristics after matching: 64% female, 73% White, mean age 75 years, mean Quan-Charlson comorbidity index score 0.9, and hypertension and dyslipidemia, each >65%. Median baseline all-cause PPPM health care costs in the ABM and control groups, respectively, were $517 and $548 ($221 and $234 medical, $135 and $164 pharmacy). Baseline PDC of at least 80% was 83% in the ABM group and, similarly, 84% in the control group. The mean (SD) follow-up was 604 (155) days for the ABM group and 598 (151) days for the control group. During the follow-up period, the median PPPM TCOC for the ABM group was $656 and was $723 for the control group (

conclusionsThe ABM program was associated with significantly lower follow-up median total costs (medical and pharmacy), driven primarily by pharmacy costs. More patients were adherent in the ABM program. Payers and pharmacies can use this evidence to assess ABM programs for their members.

Indexed as

Health Care CostsMedicare Part CMedication AdherenceAgedAged, 80 and overAppointments and SchedulesCohort StudiesFemaleHumansMaleMedicare Part DMedication Therapy ManagementPharmaceutical ServicesUnited States

Identifiers

PMID39088333
PMCPMC11293760

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.