Evidence map›Paper›PMID 32125403›Full record

ArticleJAMA2020

Changes in List Prices, Net Prices, and Discounts for Branded Drugs in the US, 2007-2018.

Inmaculada Hernandez, Alvaro San-Juan-Rodriguez, Chester B Good, Walid F Gellad

Abstract read
In one paragraph

Article in JAMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 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

72 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Factors associated with the author-reported cost-effectiveness threshold in high-income countries: systematic review and multivariable modelling.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Pooled it
  2. Pooled it
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  4. Review
  5. A Retrospective Post-Marketing Surveillance Study on TGlobulin25Iranian journal of medical sciences · 2026
    Article
  6. Review
  7. Article
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  9. Effects of Part D Senior Savings Model on healthcare costs among the Medicare population.Journal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain · 2025
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Inmaculada HernandezDepartment of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania.
Alvaro San-Juan-RodriguezDepartment of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania.
Chester B GoodCenter for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, Pennsylvania.
Walid F GelladCenter for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Patient and System-Level Determinants of Oral Anticoagulation Use in Atrial FibrillationK01HL142847 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HERNANDEZ, INMACULADA · 2018 to 2022
$798k
NHLBI NIH HHS K01 HL142847
6 · The paper itself

Abstract

Importance: Most studies that have examined drug prices have focused on list prices, without accounting for manufacturer rebates and other discounts, which have substantially increased in the last decade. Objective: To describe changes in list prices, net prices, and discounts for branded pharmaceutical products for which US sales are reported by publicly traded companies, and to determine the extent to which list price increases were offset by increases in discounts. Design, Setting, and Participants: Retrospective descriptive study using 2007-2018 pricing data from the investment firm SSR Health for branded products available before January 2007 with US sales reported by publicly traded companies (n = 602 drugs). Net prices were estimated by compiling company-reported sales for each product and number of units sold in the US. Exposures: Calendar year. Main Outcomes and Measures: Outcomes included list and net prices and discounts in Medicaid and other payers. List prices represent manufacturers' price to wholesalers or direct purchasers but do not account for discounts. Net prices represent revenue per unit of the product after all manufacturer concessions are accounted for (including rebates, coupon cards, and any other discount). Means of outcomes were calculated each year for the overall sample and 6 therapeutic classes, weighting each product by utilization and adjusting for inflation. Results: From 2007 to 2018, list prices increased by 159% (95% CI, 137%-181%), or 9.1% per year, while net prices increased by 60% (95% CI, 36%-84%), or 4.5% per year, with stable net prices between 2015 and 2018. Discounts increased from 40% to 76% in Medicaid and from 23% to 51% for other payers. Increases in discounts offset 62% of list price increases. There was large variability across classes. Multiple sclerosis treatments (n = 4) had the greatest increases in list (439%) and net (157%) prices. List prices of lipid-lowering agents (n = 11) increased by 278% and net prices by 95%. List prices of tumor necrosis factor inhibitors (n = 3) increased by 166% and net prices by 73%. List prices of insulins (n = 7) increased by 262%, and net prices by 51%. List prices of noninsulin antidiabetic agents (n = 10) increased by 165%, and net prices decreased by 1%. List price increases were lowest (59%) for antineoplastic agents (n = 44), but discounts only offset 41% of list price increases, leading to 35% increase in net prices. Conclusions and Relevance: In this analysis of branded drugs in the US from 2007 to 2018, mean increases in list and net prices were substantial, although discounts offset an estimated 62% of list price increases with substantial variation across classes.

Indexed as

Costs and Cost AnalysisDrug CostsFees, PharmaceuticalMedicaidRetrospective StudiesUnited States

Identifiers

PMID32125403
PMCPMC7054846

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.