Evidence map›Paper›PMID 39971876›Full record

ArticleJournal of general internal medicine2025

Exploring the Lack of Transparency in Prescription Drug Costs: Contributors and Avenues for Reform.

Rachel Bernard, Caroline Sloan

Abstract readEditorial
In one paragraph

Article in Journal of general internal medicine, 2025. 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

2 authors.

Rachel BernardDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. rbernard@mcw.edu.ORCID 0000-0001-9129-5083
Caroline SloanDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

Funding

Improving medication adherence and disease control for patients with multimorbidity: the role of price transparency toolsK23AG076889 · NIA · DUKE UNIVERSITY · PI Caroline Ellen Sloan · 2023 to 2026
$717k
NIA NIH HHS K23 AG076889
6 · The paper itself

Abstract

The USA spent $722.5 billion on prescription drugs in 2023. The USA retail prescription drug payment and delivery system is notoriously opaque, which has historically made it nearly impossible for prescribing clinicians and their patients to predict the out-of-pocket cost of a particular drug at the pharmacy. This system involves drug manufacturers (i.e., pharmaceutical companies), insurers, pharmacy benefit managers (PBMs), prescribers (i.e., physicians and advanced practice providers), and consumers (i.e., patients). In this article, we provide a brief overview of the roles of and transactions among each of these entities. We focus in particular on areas where financial transparency is lacking. We then describe several targets for policy reform that gained momentum in the first Trump Administration, the Biden Administration, and the 118th Congress. These targets include increased transparency of pharmacy benefit managers' interactions, improved implementation of clinician-facing out-of-pocket cost estimators such as real-time benefit tools, and disclosure of drug prices to patients via direct-to-consumer pharmacies and direct-to-consumer advertising. Clinicians and their professional societies should use their powerful voices to advocate for increased transparency of a prescription drug system that costs the USA hundreds of billions of dollars each year.

Indexed as

Drug CostsHealth Care ReformPrescription DrugsDrug IndustryHumansUnited StatesPrescription Drugs

Identifiers

PMID39971876
PMCPMC12343444

What OpenQuestion holds

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Registered trials

None linked

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.