Evidence map›Paper›PMID 41737499›Full record

ArticleHealth affairs scholar2026

The timeliness of health plan drug coverage policy changes to FDA label revisions.

Daniel E Enright, Molly T Beinfeld, Claire H Brennan, Yichen Lin, James D Motyka, Jonathan D Campbell, James D Chambers

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Daniel E EnrightCenter for the Evaluation of Value and Risk, Institute for Clinical Research and Health Policy Studies,Tufts Medical Center, Boston, MA 02111, United States.
Molly T BeinfeldCenter for the Evaluation of Value and Risk, Institute for Clinical Research and Health Policy Studies,Tufts Medical Center, Boston, MA 02111, United States.
Claire H BrennanCenter for the Evaluation of Value and Risk, Institute for Clinical Research and Health Policy Studies,Tufts Medical Center, Boston, MA 02111, United States.ORCID https://orcid.org/0009-0004-5797-0881
Yichen LinCenter for the Evaluation of Value and Risk, Institute for Clinical Research and Health Policy Studies,Tufts Medical Center, Boston, MA 02111, United States.
James D MotykaNational Pharmaceutical Council, Washington, DC 20006, United States.ORCID https://orcid.org/0009-0006-9216-0141
Jonathan D CampbellNational Pharmaceutical Council, Washington, DC 20006, United States.ORCID https://orcid.org/0000-0001-6539-1258
James D ChambersCenter for the Evaluation of Value and Risk, Institute for Clinical Research and Health Policy Studies,Tufts Medical Center, Boston, MA 02111, United States.ORCID https://orcid.org/0000-0001-5696-4894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Health plan coverage policies determine specialty drug access and should reflect evolving standards of care; however, the timeliness of policy updates remains unclear. Methods: We used the Tufts Medical Center Specialty Drug Evidence and Coverage (SPEC) Database to evaluate how quickly US commercial health plans updated coverage following Food and Drug Administration (FDA) label changes from 2019 to 2022. We calculated time from label revision to policy update using Kaplan-Meier methods, with new indications for existing drugs as a comparator, and applied Cox proportional hazards models to assess factors associated with update speed. Results: We identified 79 label expansions and 8 contractions across 1279 policies and excluded 421 already aligned with the revised label or using sufficiently broad language. Among 858 remaining decisions, the median time to policy update following label revisions was 29.7 weeks (95% CI: 26.9-33.6), compared to 13.4 weeks for new indications. Coverage updates were faster for label contractions vs expansions (hazard ratio [HR] = 1.30; Conclusion: Despite many policies already aligning with FDA label revisions, coverage updates were often slow and inconsistent. Improving timeliness may improve equitable access to care.

Indexed as

FDA label revisionshealth plan coverage policiespatient access to carepolicy update timelinessspecialty drugs

Identifiers

PMID41737499
PMCPMC12927503

What OpenQuestion holds

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Registered trials

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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.