Evidence map›Paper›PMID 42064740›Full record

ArticleHealth affairs scholar2026

Impact on hospitals of price reductions for physician-administered biologics.

James C Robinson, Mark Thomson, Ari D Kosorukov, Christopher M Whaley

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

James C RobinsonUniversity of California, School of Public Health, Berkeley, Berkeley, CA 94720-7360, USA.ORCID https://orcid.org/0000-0003-0056-3017
Mark ThomsonUniversity of California, School of Public Health, Berkeley, Berkeley, CA 94720-7360, USA.ORCID https://orcid.org/0009-0004-4702-3805
Ari D KosorukovUniversity of California, School of Public Health, Berkeley, Berkeley, CA 94720-7360, USA.ORCID https://orcid.org/0009-0001-2747-4391
Christopher M WhaleyBrown University, School of Public Health, Providence, RI 02912, USA.ORCID https://orcid.org/0000-0002-9405-1989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prices of physician-administered drugs and biologics are coming under downward pressures from Medicare price negotiations, Most Favored Nation policies, and competition from biosimilars. These will reduce manufacturer sales revenue but potentially increase revenues for the hospitals that acquire these products at one price and are reimbursed by insurers at a higher price. This paper uses 2020-2024 Blue Cross Blue Shield insurer data on expenditures, pricing, and utilization to estimate the impact of manufacturer price decreases for 20 major biologics. Hospital margins for these 20 products increased from $2.37 billion in 2020 (55% of insurer expenditures) to $2.97 billion in 2024 (59%). A 20% manufacturer price reduction would increase hospital buy-and-bill margins to $4.84 billion, 52% of insurer expenditures, while a 40% reduction would increase hospital margins to $5.97 billion, 64% of insurer expenditures. The shift in insurer expenditures from drug manufacturers to hospitals is estimated to reduce research and development (R&D) investments between $282 and $564 million in 2028. A large share of insurer expenditures for physician-administered drugs and biologics are retained by hospital intermediaries rather than accruing to pharmaceutical manufacturers.

Indexed as

biologicsbiosimilar competitionbuy-and-billhospital marginsInflation Reduction ActMost Favored Nationphysician-administered drugsprice reductionsprivate insurers

Identifiers

PMID42064740
PMCPMC13126657

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.