Evidence map›Paper›PMID 38413052›Full record

ArticleBMJ mental health2024

Prescriptions of antidepressants and anxiolytics in France 2012-2022 and changes with the COVID-19 pandemic: interrupted time series analysis.

David De Bandt, Sarah R Haile, Louise Devillers, Bastien Bourrion, Dominik Menges

Abstract read
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Article in BMJ mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

5 authors.

David De BandtGeneral Practice, Versailles Saint-Quentin-en-Yvelines University Faculty of Science, Montigny le Bretonneux, France david.debandt@gmail.com.ORCID http://orcid.org/0000-0003-3031-5604
Sarah R HaileEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Louise DevillersGeneral Practice, Versailles Saint-Quentin-en-Yvelines University Faculty of Science, Montigny le Bretonneux, France.
Bastien BourrionGeneral Practice, Versailles Saint-Quentin-en-Yvelines University Faculty of Science, Montigny le Bretonneux, France.
Dominik MengesEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-5970-1846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety have increased in prevalence since the start of the COVID-19 pandemic.

objectiveTo evaluate the consumption of antidepressants and anxiolytics from 2012 to 2022 and the pandemic's potential impact in France.

methodsWe conducted an interrupted time series analysis of routine drug sales data (Medic'AM) from all French outpatient pharmacies from 2012 to 2022. We investigated trends in defined daily doses of antidepressants and anxiolytics sold per 1000 inhabitants (DDD/TID) and related expenditures before and after pandemic onset and in relation with stringency of pandemic mitigation measures. Analyses were performed descriptively and using segmented linear regression, autoregressive and autoregressive integrated moving average models.

findingsFrom 2012 to 2019, overall monthly antidepressant sales increased (+0.02 DDD/TID) while monthly anxiolytic sales decreased (-0.07 DDD/TID). With pandemic onset, there was a relevant and persisting trend increase (+0.20 DDD/TID per month) for antidepressant sales overall, with an estimated excess of 112.6 DDD/TID sold from May 2020 until December 2022. Anxiolytic sales were elevated from February 2020 throughout the pandemic but returned to expected levels by December 2022, with an estimated excess of 33.8 DDD/TID. There was no evident association between stringency and antidepressant or anxiolytic sales.

conclusionsThis study showed a protracted trend increase in the consumption of antidepressants since pandemic onset, while increases in anxiolytic consumption were temporary. CLINICAL IMPLICATIONS: We provide evidence that the COVID-19 pandemic may have had long-lasting consequences on the prevalence and treatment of depression and anxiety disorders, requiring further actions by researchers and policy-makers to address this potential public mental health crisis.

Indexed as

Anti-Anxiety AgentsCOVID-19Antidepressive AgentsDrug PrescriptionsFranceHumansInterrupted Time Series AnalysisPandemicsAnti-Anxiety AgentsAntidepressive AgentsAnxiety disordersCOVID-19Data Interpretation, StatisticalDepression & mood disorders

Identifiers

PMID38413052
PMCPMC10900346

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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.