Evidence map›Paper›PMID 42241002›Full record

ArticleJAMA network open2026

Supply Chain Events and Risk of Drug Shortage in Canada.

Araniy Santhireswaran, Martin K H Ho, Katherine Callaway Kim, Shanzeh Chaudhry, Katie J Suda, Etienne Gaudette, Lisa Burry, Mina Tadrous

Abstract read
In one paragraph

Article in JAMA network open, 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

8 authors.

Araniy SanthireswaranLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Martin K H HoLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Katherine Callaway KimDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Shanzeh ChaudhryLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Katie J SudaDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Etienne GaudetteInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Lisa BurryLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Mina TadrousLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Drug shortages are an ongoing challenge in health care delivery. Research has focused on factors associated with manufacturer-level shortage reports; however, these reports do not reflect population-level drug availability. It is essential to determine the impact of supply chain events on trends in drug utilization and identify factors associated with decreases in use to ascertain shortage risk and inform future policy prioritization. Objective: To quantify incident shortages following Canadian supply chain events and determine drug characteristics associated with increased shortage risk. Design, Setting, and Participants: This matched cohort study analyzed monthly trends in drug purchasing of Canadian pharmaceutical products from the IQVIA MIDAS database from January 2017 to December 2021 with a 6-month follow-up. Data were analyzed from September 2023 to September 2024. Exposure: Reporting of a supply chain issue in Drug Shortages Canada. Main Outcomes and Measures: The main outcome was an incident shortage, defined as a decrease of 33% or more in purchase volume within 6 months following the supply chain issue. A logistic regression with random effects compared the odds of experiencing an incident shortage for cases and controls. A secondary outcome, shortage intensity, defined as the decrease in purchases multiplied by the duration, was analyzed using a zero-inflated beta regression with random effects. Results: Of 1591 drugs, 972 unique drugs (61%) were exposed to 1919 supply chain events. Incident shortages were observed in 11% of cases (216 drugs), compared with 7% of controls (1271 comparators). Drugs with baseline sales less than $100 000 (odds ratio [OR], 4.01; 95% CI, 3.03-5.30), anti-infective drugs (OR, 3.07; 95% CI, 2.33-4.04), and over-the-counter drugs (OR, 3.05; 95% CI, 2.38-3.90) had greater odds of experiencing an incident shortage. Schedule G drugs, which include controlled drugs (OR, 3.61; 95% CI, 1.66-7.77), drugs with more than 25 unique products available (OR, 2.86; 95% CI, 1.89-4.44), and those with equal dominance in both retail and hospital sectors (OR, 2.43; 95% CI, 1.93-3.01) had the largest magnitudes of association with higher shortage intensity. Conclusions and Relevance: In this study of shortage incidence following Canadian supply chain events, 9 in 10 reported supply chain events did not experience true shortages. These findings highlight a need for a unified shortage definition focusing on real disruptions in supply and can be used to guide policies to manage drug shortages, improve patient outcomes, and enhance health care delivery.

Indexed as

CommerceDrug IndustryCanadaCohort StudiesHumansPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID42241002
PMCPMC13237616

What OpenQuestion holds

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LicenceCC BY
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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.