Evidence map›Paper›PMID 38578641›Full record

ArticleJAMA network open2024

Drug Shortages Prior to and During the COVID-19 Pandemic.

Katherine Callaway Kim, Scott D Rothenberger, Mina Tadrous, Inmaculada Hernandez, Walid F Gellad, Joshua W Devine, Tina B Hershey, Lisa M Maillart, Katie J Suda

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Thrombolysis for pulmonary embolism: A network meta-analysis.Journal of the Intensive Care Society · 2026
    Article
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  6. Article
  7. Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. National Drug Shortages: Remedial Executive and Legislative Initiatives.Journal of the American Board of Family Medicine : JABFM · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Treatment Effects of the Integrated Perinatal Diabetes Education and Management Program.Diabetes spectrum : a publication of the American Diabetes Association · 2025
    Article
  20. Macro- and micro-influencers of antimicrobial costs…What do stewardship programs need to know?Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Katherine Callaway KimDepartment of Medicine, Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Scott D RothenbergerDepartment of Medicine, Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Mina TadrousLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Inmaculada HernandezSchool of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla.
Walid F GelladDepartment of Medicine, Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Joshua W DevineDes Moines University, Department of Public Health, Des Moines, Iowa.
Tina B HersheyDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Lisa M MaillartDepartment of Industrial Engineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, Pennsylvania.
Katie J SudaDepartment of Medicine, Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Funding

Impact of COVID-19 on Drug ShortagesR01HS027985 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SUDA, KJ · 2021 to 2025
$2.1M
AHRQ HHS R01 HS027985
6 · The paper itself

Abstract

Importance: Drug shortages are a chronic and worsening issue that compromises patient safety. Despite the destabilizing impact of the COVID-19 pandemic on pharmaceutical production, it remains unclear whether issues affecting the drug supply chain were more likely to result in meaningful shortages during the pandemic. Objective: To estimate the proportion of supply chain issue reports associated with drug shortages overall and with the COVID-19 pandemic. Design, Setting, and Participants: This longitudinal cross-sectional study used data from the IQVIA Multinational Integrated Data Analysis database, comprising more than 85% of drug purchases by US pharmacies from wholesalers and manufacturers, from 2017 to 2021. Data were analyzed from January to May 2023. Exposure: Presence of a supply chain issue report to the US Food and Drug Administration or the American Society of Health-Systems Pharmacists (ASHP). Main Outcomes and Measures: The main outcome was drug shortage, defined as at least 33% decrease in units purchased within 6 months of a supply chain issue report. Random-effects logistic regression models compared the marginal odds of shortages for drugs with vs without reports. Interaction terms assessed heterogeneity prior to vs during the COVID-19 pandemic and by drug characteristics (formulation, age, essential medicine status, clinician- vs self-administered, sales volume, and number of manufacturers). Results: A total of 571 drugs exposed to 731 supply chain issue reports were matched to 7296 comparison medications with no reports. After adjusting for drug characteristics, 13.7% (95% CI, 10.4%-17.8%) of supply chain issue reports were associated with subsequent drug shortages vs 4.1% (95% CI, 3.6%-4.8%) of comparators (marginal odds ratio [mOR], 3.7 [95% CI, 2.6-5.1]). Shortages increased among both drugs with and without reports in February to April 2020 (34.2% of drugs with supply chain issue reports and 9.5% of comparison drugs; mOR, 4.9 [95% CI, 2.1-11.6]), and then decreased after May 2020 (9.8% of drugs with reports and 3.6% of comparison drugs; mOR, 2.9 [95% CI, 1.6-5.3]). Significant associations were identified by formulation (parenteral mOR, 1.9 [95% CI, 1.1-3.2] vs oral mOR, 5.4 [95% CI, 3.3-8.8]; P for interaction = .008), WHO essential medicine status (essential mOR, 2.2 [95% CI, 1.3-5.2] vs nonessential mOR, 4.6 [95% CI, 3.2-6.7]; P = .02), and for brand-name vs generic status (brand-name mOR, 8.1 [95% CI, 4.0-16.0] vs generic mOR, 2.4 [95% CI, 1.7-3.6]; P = .002). Conclusions and Relevance: In this national cross-sectional study, supply chain issues associated with drug shortages increased at the beginning of the COVID-19 pandemic. Ongoing policy work is needed to protect US drug supplies from future shocks and to prioritize clinically valuable drugs at greatest shortage risk.

Indexed as

COVID-19Cross-Sectional StudiesDrugs, GenericHumansPandemicsPharmaceutical PreparationsUnited StatesDrugs, GenericPharmaceutical Preparations

Identifiers

PMID38578641
PMCPMC10998160

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.