Evidence map›Paper›PMID 38306091›Full record

ArticleJAMA health forum2024

Associations Between Annual Medicare Part D Low-Income Subsidy Loss and Prescription Drug Spending and Use.

Vicki Fung, Mary Price, David Cheng, Tej A Patel, Zhiyou Yang, John Hsu, Margarita Alegria, Joseph P Newhouse

Open access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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  6. Article
  7. Quality of Treatment Selection for Medicare Beneficiaries With Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  8. Disparity implications of machine-learning-based MTM eligibility criteria.Journal of the American Pharmacists Association : JAPhA
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Vicki FungMassachusetts General Hospital, Boston.
Mary PriceMassachusetts General Hospital, Boston.
David ChengMassachusetts General Hospital, Boston.
Tej A PatelMassachusetts General Hospital, Boston.
Zhiyou YangMassachusetts General Hospital, Boston.
John HsuMassachusetts General Hospital, Boston.
Margarita AlegriaMassachusetts General Hospital, Boston.
Joseph P NewhouseHarvard Medical School, Boston, Massachusetts.
Harvard University · USMassachusetts General Hospital · USPhiladelphia University · US

Funding

Medicare Policy Effects on Mental Health Care DisparitiesR01MD010456 · NIMHD · MASSACHUSETTS GENERAL HOSPITAL · PI COOK, BENJAMIN LE, FUNG, VICKI · 2017 to 2021
$3.2M
The Transition from Medicaid to Medicare and Impacts on Disparities in Coverage and CareR01MD017068 · NIMHD · MASSACHUSETTS GENERAL HOSPITAL · PI Vicki Fung · 2022 to 2026
$3.1M
NIMHD NIH HHS R01 MD010456NIMHD NIH HHS R01 MD017068
6 · The paper itself

Abstract

Importance: The Medicare Part D Low Income Subsidy (LIS) program provides millions of beneficiaries with drug plan premium and cost-sharing assistance. The extent to which LIS recipients experience subsidy losses with annual redetermination cycles and the resulting associations with prescription drug affordability and use are unknown. Objective: To examine how frequently annual LIS benefits are lost among Medicare Part D beneficiaries and how this is associated with prescription drug use and out-of-pocket costs. Design, Setting, and Participants: In this cohort study of Medicare Part D beneficiaries from 2007 to 2018, annual changes in LIS recipients among those automatically deemed eligible (eg, due to dual eligibility for Medicare and Medicaid) and nondeemed beneficiaries who must apply for LIS benefits were analyzed using Medicare enrollment and Part D event data. Subsidy losses were classified in 4 groups: temporary losses (<1 year); extended losses (≥1 year); subsidy reductions (change to partial LIS); and disenrollment from Medicare Part D after subsidy loss. Temporary losses could more likely represent subsidy losses among eligible beneficiaries. Multinomial logit models were used to examine associations between beneficiary characteristics and subsidy loss; linear regression models were used to compare changes in prescription drug cost and use in the months after subsidy losses vs before. Analyses were conducted between November 2022 and November 2023. Exposure: Subsidy loss at the beginning of each year among subsidy recipients in December of the prior year. Main Outcomes and Measures: The main outcomes were out-of-pocket costs and prescription drug fills overall and for 4 classes: antidiabetes, antilipid, antidepressant, and antipsychotic drugs. Results: In 2008, 731 070 full LIS beneficiaries (17%) were not deemed automatically eligible (39% were aged <65 years; 59% were female). Nearly all beneficiaries deemed automatically eligible (≥99%) retained the subsidy annually from 2007 to 2018, compared with 78% to 84% of nondeemed beneficiaries. Among nondeemed beneficiaries, disabled individuals younger than 65 years and racial and ethnic minority groups were more likely to have temporary subsidy losses vs none. Temporary losses were associated with an average 700% increase in out-of-pocket drug costs (+$52.72/mo [95% CI, 52.52-52.92]) and 15% reductions in prescription fills (-0.58 fills/mo [95% CI, -0.59 to -0.57]) overall. Similar changes were found for antidiabetes, antilipid, antidepressant, and antipsychotic prescription drug classes. Beneficiaries who retained their subsidy had few changes. Conclusions and Relevance: The conclusions of this cohort study suggest that efforts to help eligible beneficiaries retain Medicare Part D subsidies could improve drug affordability, treatment adherence, and reduce disparities in medication access.

Indexed as

Medicare Part DPrescription DrugsAgedAntidepressive AgentsCohort StudiesEthnicityFemaleHumansMaleMinority GroupsUnited StatesAntidepressive AgentsPrescription Drugs

Identifiers

PMID38306091
PMCPMC10837747
OpenAlexW4391486531

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.