Evidence map›Paper›PMID 41982629›Full record

ArticleHealth affairs scholar2026

The changing Part D landscape.

Geoffrey Joyce, Beier Chen, Barbara Blaylock

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Geoffrey JoyceLeonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles, CA 90089, United States.ORCID https://orcid.org/0000-0002-6674-0242
Beier ChenDepartment of Pharmaceutical and Health Economics, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90033, United States.ORCID https://orcid.org/0009-0006-6243-0390
Barbara BlaylockBlaylock Health Economics LLC, Reno, NV 89501, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Differences in how Medicare advantage prescription drug plans (MA-PDs) and stand-alone prescription drug plans (PDPs) are financed may contribute to fewer coverage options for traditional Medicare beneficiaries. The Inflation Reduction Act (IRA) capped annual out-of-pocket spending and reduced government reinsurance, thereby placing more cost responsibility on plans and manufacturers and potentially further limiting coverage. Methods: This study draws on 2020-2025 data from the CMS public use files to compare coverage options by cost-sharing categories (defined by mean premium and deductible) across plan types and plan sponsors. Results: A majority of MA-PDs maintained low-premium and low-deductible designs (2020 = 66.0%, 2025 = 62.4%), reflecting cross-subsidies from integrated medical benefits, while enhanced PDPs increasingly pursued low-premium and high-deductible structures (38.2%, 51.5%), and basic/actuarially equivalent (AE) PDPs maintained high-premium and high-deductible structures (66.0%, 65.1%). In 2025, more than half of brand-only drugs in unprotected classes were excluded from Part D formularies (enhanced MA-PDs = 51.8%, enhanced PDPs = 57.3%, basic/AE PDPs = 60.0%), especially in high-spending therapeutic areas. Conclusions: Results reflect increasing consolidation and reduced plan diversity, with potential consequences for access and affordability among traditional Medicare beneficiaries. Policymakers may need to reconsider subsidy and risk-adjustment mechanisms to preserve competition and equitable access across plan types in the evolving Part D marketplace.

Indexed as

Formulary designFormulary exclusionsMedicare advantageMedicare part DPlan consolidation

Identifiers

PMID41982629
PMCPMC13070726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.