Evidence map›Paper›PMID 36758003›Full record

ArticlePloS one2023

Identifying drugs with the greatest increases and decreases in spending per beneficiary using Medicare Part D: A cross-sectional study.

Benazir Hodzic-Santor, Chana A Sacks, Tamara Van Bakel, Michael Fralick

Abstract read
In one paragraph

Article in PloS one, 2023. 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
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0citing papers in PubMed
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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.

Benazir Hodzic-SantorDivision of General Internal Medicine, Department of Medicine, Sinai Health System, Toronto, Ontario, Canada.
Chana A SacksDivision of General Internal Medicine and Mongan Institute, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
Tamara Van BakelLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
Michael FralickDivision of General Internal Medicine, Department of Medicine, Sinai Health System, Toronto, Ontario, Canada.ORCID 0000-0002-2082-2445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceIn the US, there are no effective regulations controlling how much the price of a medication can increase. A patchwork of studies examining the reasons for soaring prices has focused on medications that have received considerable media attention, like insulin, epinephrine, and colchicine.

objectiveTo identify the 50 medications with the greatest increase in average spending per beneficiary and the 50 medications with the greatest decrease in average spending per beneficiary, and to identify the factors associated with spending increases. DESIGN,

participantsThis cross-sectional study used publicly available data from the Medicare Part D Prescription Drug Program from 2014 to 2020. We included drugs dispensed to > 1000 beneficiaries in each study year and excluded those primarily administered intravenously. MAIN MEASURES: Percentage change in average spending per beneficiary from 2014 to 2020 was calculated for each drug. For each drug, we extracted the number of beneficiaries, the number of manufacturers, and the drug-specific total annual spending reported in the Medicare Part D data set. An online database search was conducted to identify the primary clinical indication, the availability of any generic versions, and the date of FDA approval for each drug.

resultsThe 50 medications with the greatest increase in spending per beneficiary had a median increase of 362.4% (interquartile range [IQR]: 286.6%-563.0%), with a cumulative spending of almost $5 billion in 2020 alone. Most drugs with the greatest increases in spending per beneficiary had generic versions available (68%) and were approved by the FDA over 10 years ago (66%). Medications with the greatest increase in spending per beneficiary had a median of 1 manufacturer (IQR: 1-2), while medications with the greatest decrease in spending per beneficiary had a median of 9.5 manufacturers (IQR: 5-14).

conclusionsThis study identified rapidly increasing costs of medications under Medicare Part D. Our findings demonstrate that off-patent medications can skyrocket in price, especially when there are few manufacturers of a given medication.

Indexed as

Medicare Part DPrescription DrugsCross-Sectional StudiesDrugs, GenericHealth ExpendituresUnited StatesDrugs, GenericPrescription Drugs

Identifiers

PMID36758003
PMCPMC9910683

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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.