Changes in use and utilisation patterns of drugs with reported shortages between 2010 and 2024 in Europe and North America: a network cohort study
Bibliographic record
Abstract
BACKGROUND: Drug shortages can negatively impact patient care. We aimed to estimate the incidence and prevalence of use of medicines with shortages announced by the European Medicines Agency between January, 2013, and September, 2023, and to characterise the users of these drugs. METHODS: In this multinational network cohort study, we used routinely collected data from 52 databases across 18 European countries and the USA covering primary care, secondary care, health insurance claims, and disease registries. We included all participants with a minimum of 365 days of medical history between 2010 and 2024. We estimated annual incidence rates and period prevalence of use of medicines with a reported shortage (n=16), and their key alternatives (n=41). A reduction of 33% or more in incidence or prevalence after the shortage announcement was considered confirmation of a shortage. Additionally, we analysed changes in utilisation in terms of age, sex, indication, duration, and dosage. FINDINGS: Eight drugs had a 33% or higher reduction in incidence and nine drugs had a 33% or higher reduction in prevalence. Varenicline and amoxicillin (alone or combined with clavulanate) were the medicines affected in the highest number of countries and databases. Additionally, we observed changes in the indication of alteplase (pulmonary embolism indication increased in hospitals in Finland and Germany during the shortage period) and sarilumab (rheumatoid arthritis indication decreased in databases in the UK, Spain, Finland, and Sweden); and among incident users of sarilumab, a decrease in the cumulative dose was observed in databases in the Netherlands (from 84 mg in 2020 to 28 mg in 2023) and a reduction in treatment duration was observed in databases in Finland (from 104 days in 2020 to 1 day in 2022) and Belgium (from 71 days in 2020 to 30 days in 2022). INTERPRETATION: This study highlighted changes in incidence and prevalence of use of medicines after shortage announcements, and changes observed in patient care in terms of the indication, duration, or prescribed dose of medicines. Our findings showed that some reductions in use were observed across Europe and the USA, and others differed across countries. More research is needed to reduce the effects of drug shortages globally. FUNDING: Innovative Medicines Initiative 2 Joint Undertaking.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".