Evidence map›Paper›PMID 29752675›Full record

ArticlePharmacoEconomics2018

Estimating Drug Costs: How do Manufacturer Net Prices Compare with Other Common US Price References?

T Joseph Mattingly, Joseph F Levy, Julia F Slejko, Nneka C Onwudiwe, Eleanor M Perfetto

Abstract readComparative Study
In one paragraph

Article in PharmacoEconomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

5 authors.

T Joseph MattinglyUniversity of Maryland School of Pharmacy, 20 North Pine Street, N415, Baltimore, MD, 21201, USA. jmattingly@rx.umaryland.edu.ORCID http://orcid.org/0000-0001-7786-5780
Joseph F LevyUniversity of Maryland School of Pharmacy, 20 North Pine Street, N415, Baltimore, MD, 21201, USA.ORCID http://orcid.org/0000-0002-9317-5306
Julia F SlejkoUniversity of Maryland School of Pharmacy, 20 North Pine Street, N415, Baltimore, MD, 21201, USA.ORCID http://orcid.org/0000-0001-6900-9220
Nneka C OnwudiweUS Food and Drug Administration, Silver Spring, MD, USA.
Eleanor M PerfettoUniversity of Maryland School of Pharmacy, 20 North Pine Street, N415, Baltimore, MD, 21201, USA.ORCID http://orcid.org/0000-0001-8150-1058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug costs are frequently estimated in economic analyses using wholesale acquisition cost (WAC), but what is the best approach to develop these estimates? Pharmaceutical manufacturers recently released transparency reports disclosing net price increases after accounting for rebates and other discounts.

objectiveOur objective was to determine whether manufacturer net prices (MNPs) could approximate the discounted prices observed by the U.S. Department of Veterans Affairs (VA).

methodsWe compared the annual, average price discounts voluntarily reported by three pharmaceutical manufacturers with the VA price for specific products from each company. The top 10 drugs by total sales reported from company tax filings for 2016 were included. The discount observed by the VA was determined from each drug's list price, reported as WAC, in 2016. Descriptive statistics were calculated for the VA discount observed and a weighted price index was calculated using the lowest price to the VA (Weighted VA Index), which was compared with the manufacturer index.

resultsThe discounted price as a percentage of the WAC ranged from 9 to 74%. All three indexes estimated by the average discount to the VA were at or below the manufacturer indexes (42 vs. 50% for Eli Lilly, 56 vs. 65% for Johnson & Johnson, and 59 vs. 59% for Merck).

conclusionsManufacturer-reported average net prices may provide a close approximation of the average discounted price granted to the VA, suggesting they may be a useful proxy for the true pharmacy benefits manager (PBM) or payer cost. However, individual discounts for products have wide variation, making a standard discount adjustment across multiple products less acceptable.

Indexed as

CommerceDrug CostsDrug IndustryHumansUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID29752675
PMCPMC6061401

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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.