Evidence map›Paper›PMID 37644739›Full record

ArticleThe Milbank quarterly2023

Improving Food and Drug Administration-Centers for Medicare and Medicaid Services Coordination for Drugs Granted Accelerated Approval.

Peter J Neumann, Elliott Crummer, James D Chambers, Sean R Tunis

Abstract read
In one paragraph

Article in The Milbank quarterly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors.

Peter J NeumannCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center.ORCID 0000-0003-1226-4073
Elliott CrummerCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center.
James D ChambersCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center.
Sean R TunisCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center.

Funding

Arnold Ventures 22-07016
6 · The paper itself

Abstract

Policy Points The increasing number of drugs granted accelerated approval by the Food and Drug Administration (FDA) has challenged the Medicare program, which often pays for expensive therapies despite substantial uncertainty about benefits and risks to Medicare beneficiaries. We recommend several administrative and legislative approaches for improving FDA-Centers for Medicare and Medicaid Services (CMS) coordination around accelerated-approval drugs, including promoting earlier discussions among the FDA, the CMS, and drug companies; strengthening Medicare's coverage with evidence development program; linking Medicare payment to evidence generation milestones; and ensuring that the CMS has adequate staffing and resources to evaluate new therapies. These activities can help improve the integrity; transparency; and efficiency of approval, coverage, and payment processes for drugs granted accelerated approval. CONTEXT: The Food and Drug Administration (FDA)'s accelerated-approval pathway expedites patient access to promising treatments. However, increasing use of this pathway has challenged the Medicare program, which often pays for expensive therapies despite substantial uncertainty about benefits and risks to Medicare beneficiaries. We examined approaches to improve coordination between the FDA and Centers for Medicare and Medicaid Services (CMS) for drugs granted accelerated approval.

methodsWe argue that policymakers have focused on expedited pathways at the FDA without sufficient attention to complementary policies at the CMS. Although differences between the FDA and CMS decisions are to be expected given the agencies' different missions and statutory obligations, procedural improvements can ensure that Medicare beneficiaries have timely access to novel therapies that are likely to improve health outcomes. To inform policy options and recommendations, we conducted semistructured interviews with stakeholders to capture diverse perspectives on the topic.

findingsWe recommend ten areas for consideration: clarifying the FDA's evidentiary standards; strengthening FDA authorities; promoting earlier discussions among the FDA, the CMS, and drug companies; improving Medicare's coverage with evidence development program; tying Medicare payment for accelerated-approval drugs to evidence generation milestones; issuing CMS guidance on real-world evidence; clarifying Medicare's "reasonable and necessary" criteria; adopting lessons from international regulatory-reimbursement harmonization efforts; ensuring that the CMS has adequate staffing and expertise; and emphasizing equity.

conclusionsBetter coordination between the FDA and CMS could improve the transparency and predictability of drug approval and coverage around accelerated-approval drugs, with important implications for patient outcomes, health spending, and evidence generation processes. Improved coordination will require reforms at both the FDA and CMS, with special attention to honoring the agencies' distinct authorities. It will require administrative and legislative actions, new resources, and strong leadership at both agencies.

Indexed as

Drug ApprovalMedicareAgedCenters for Medicare and Medicaid Services, U.S.HumansPharmaceutical PreparationsUnited StatesUnited States Food and Drug AdministrationPharmaceutical Preparationsaccelerated approvalCenters for Medicare and Medicaid Servicescoverage with evidence developmentFood and Drug AdministrationMedicareprescription drugsrandomized clinical trialsreal world evidence

Identifiers

PMID37644739
PMCPMC10726896

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.