Evidence map›Paper›PMID 39739243›Full record

ArticlePharmacoEconomics2025

Value-Based Indication-Specific Pricing and Weighted-Average Pricing: Estimated Price and Cost Savings for Cancer Drugs.

Daniel Tobias Michaeli, Thomas Michaeli

Abstract readEvaluation Study
In one paragraph

Article in PharmacoEconomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Daniel Tobias MichaeliDepartment of Medical Oncology, National Center for Tumor Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 460, 69120, Heidelberg, Germany. danielmichaeli@yahoo.com.ORCID 0000-0003-2913-1867
Thomas MichaeliSchumpeter School of Business and Economics, University of Wuppertal, Wuppertal, Germany.ORCID 0000-0003-0293-9401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFor US Medicare and Medicaid, single drug prices do not reflect the value of supplemental indications. Value-based indication-specific and weighted-average pricing has been suggested for drugs with multiple indications. Under indication-specific pricing, a distinct price is assigned to the differential value a drug offers in each indication. Under weighted-average pricing, a single drug price is calculated that reflects the value and/or volume of each indication. This study estimates price reductions and cost savings for cancer drugs under value-based indication-specific pricing and weighted-average pricing.

methodsWe collected data on US Food and Drug Administration (FDA)-approved cancer drugs and indications (2003-2020) from FDA labels, the Global Burden of Disease study, clinicaltrials.gov, and Medicare and Medicaid. A multivariable regression analysis, informed by characteristics of original indications, was used to predict value-based indication-specific prices for supplemental indications. These indication-specific prices were combined with each indication's prevalence data to estimate value-based weighted-average prices and potential cost savings under each policy.

resultsWe identified 123 cancer drugs with 308 indications. Medicare and Medicaid spent a total of $28.2 billion on these drugs in 2020. Adopting value-based indication-specific pricing would increase drug prices by an average of 3.9%, with cost savings of $3.0 billion (10.6%). However, 43.7% higher prices for ultra-rare diseases would increase spending by 16.8% ($44 million). Adopting value-based weighted-average pricing would reduce prices by an average of 4.6% and spending by $3.0 billion (10.6%). Under weighted-average pricing, prices for and spending on ultra-rare diseases would be reduced by 22.6% and $55 million, respectively.

conclusionsValue-based indication-specific and weighted-average pricing could help to align the value and price of new indications, thereby reducing expenditure on drugs with multiple indications.

Indexed as

Antineoplastic AgentsCost SavingsDrug CostsNeoplasmsHumansMedicaidMedicareUnited StatesUnited States Food and Drug AdministrationAntineoplastic Agents

Identifiers

PMID39739243
PMCPMC11929628

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