Evidence map›Paper›PMID 40123227›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

The Association of 340B Program Drug Margins with Covered Entity Characteristics.

Robert J Nordyke, James Motyka, Julie A Patterson

Erratum issuedAbstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

3 authors.

Robert J NordykePetauri LLC, formerly National Pharmaceutical Council, Washington, DC, USA.
James MotykaNational Pharmaceutical Council, Washington, DC, USA.
Julie A PattersonNational Pharmaceutical Council, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 340B Drug Pricing Program aims to help facilities serving low-income and uninsured patients to stretch scarce resources by allowing covered entities to purchase outpatient drugs at federally mandated discounted rates while often receiving reimbursement for them at higher rates by commercial payers and Medicare. Despite increasing focus on the expansion and impact of the program, profit margins under 340B have not been fully explored. We aimed to examine drug-, facility-, and geographic-level factors that influence drug margins among 340B covered entities. We conducted a cross-sectional analysis of predictors of facility-level 340B margins for 5 drug classes in a multivariable regression model using 2021 data linked across multiple proprietary and public datasets. Regression results show that drug, facility characteristics, and geographic healthcare market-level characteristics influence drug margins under the 340B program. Adjusted 340B margins were higher in hospital outpatient departments than free-standing offices (ie, hospital-affiliated physician offices and independent, 340B eligible clinics) and among covered entities in more concentrated (ie, less competitive) markets. Covered entity market power, quantified by a facility-level measure of non-340B drug margins indicating pricing power, and area wealth were both associated with higher 340B drug margins. Margins on 340B drugs were higher among facilities in stronger bargaining positions and those serving wealthier areas. These findings add to the growing body of literature on expansions of the 340B program into more affluent communities, informing calls for reforms to ensure the 340B program serves low-income and uninsured patients.

Indexed as

Drug CostsCross-Sectional StudiesHumansMedically UninsuredMedicarePovertyUnited States340Bdrug marginhospitalmarket concentrationprovider behavior

Identifiers

PMID40123227
PMCPMC11938891

What OpenQuestion holds

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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.