Evidence map›Paper›PMID 42137647›Full record

ArticleHealth affairs scholar2026

Trends in prescription drug coverage restrictions in Medicare, Medicaid, and commercial insurance plans, 2011-2019.

Michael Anne Kyle, Pragya Kakani, Samantha L Burn, Luca Maini

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

4 authors.

Michael Anne KyleDepartment of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0001-9199-6904
Pragya KakaniDepartment of Population Health Sciences, Weill Cornell Medical College, New York, NY 10022, USA.
Samantha L BurnDepartment of Economics and Public Policy, Imperial College Business School, London SW7 2AZ, UK.ORCID https://orcid.org/0000-0003-2143-3553
Luca MainiDepartment of Health Care Policy, Harvard Medical School, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-8125-0831

Funding

Tradeoffs in the Design of Public Long-Term Care BenefitsP01AG032952 · NIA · HARVARD MEDICAL SCHOOL · PI Leila S. Agha · 2009 to 2026
$39.0M
NIA NIH HHS P01 AG032952
6 · The paper itself

Abstract

Introduction: Access to prescription drugs is an enduring challenge in patient care. Payers often rely on coverage restrictions to balance access and cost. Methods: We assessed coverage restrictions for a comprehensive set of branded retail drugs without generic competitors from 2011 to 2019 across the four largest US market segments (Medicare, Medicaid, employer-sponsored, and health insurance exchanges) using CMS and Managed Market Insight and Technology (MMIT) data. Results: Between 2011 and 2019, for the nationally representative beneficiary, the share of drugs excluded from formularies increased from 7.5% to 13.4%, the share of drugs subject to administrative restrictions such as prior authorization or step therapy increased from 18.1% to 43.7%, and the share of drugs on non-preferred tiers decreased from 57.8% to 42.2%. The share of drugs with any coverage restriction increased from 69.7% to 79.0%. Health plans and drugs subject to federal coverage mandates saw much larger increases in prior authorization and increases in non-preferred status. Conclusion: These dynamics suggest that future research should study the tradeoffs between partial and full coverage restrictions for patient utilization, spending, and well-being.

Indexed as

access to carebenefit designcoverage restrictionspharmaceutical policyprior authorizationutilization management

Identifiers

PMID42137647
PMCPMC13169174

What OpenQuestion holds

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LicenceCC BY-NC
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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.