Evidence map›Paper›PMID 39386264›Full record

ArticleHealth services insights2024

Patterns of Antidepressant and Anxiolytic Use and Spending in 14 European Countries (2012-2021): A Comprehensive Time Series Analysis.

Manuela Martella, Ettore Minutiello, Maria Michela Gianino

Abstract read
In one paragraph

Article in Health services insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Manuela MartellaDepartment of Public Health Sciences and Paediatrics, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0002-4269-6902
Ettore MinutielloDepartment of Public Health Sciences and Paediatrics, University of Turin, Turin, Italy.
Maria Michela GianinoDepartment of Public Health Sciences and Paediatrics, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The assessment of antidepressant and anxiolytic consumption and expenditures represents a reliable barometer of the burden of such mental health disorders and the effectiveness of relative healthcare services. Objectives: The current analysis aims to evaluate trajectories of consumption and expenditures of antidepressant and anxiolytic drugs to define patterns of usage and spending across 14 European countries between 2012 and 2021. Methods: A retrospective longitudinal study was performed based on pooled time series secondary data analysis over 2012/2021. Defined Daily Doses (DDD) per 1000 inhabitants and health expenditure per capita were analysed. Linear and quadratic trends were computed to determine relationships between the variables of interest. Results: Only 2 patterns of consumption/expenditure of antidepressants can be identified: consumption and expenditure both grow; consumption grows, and spending decreases. Consumption and expenditures registered 2 main patterns, decreasing in most European countries and increasing only in 2 cases. Conclusion: Prevailing patterns of consumption and spending show an increase in antidepressants and a decrease in anxiolytics. The variation in consumption of such drugs during this timeframe is attributable to several reasons, such as the epidemiological characteristics of mental disease, for instance, the prevalence and incidence of disorders, the accessibility of drugs and alternative treatments, like psychotherapy, different clinical practices and national guidelines. However, such analyses deserve attention for targeted policies and strategies for promoting mental health.

Indexed as

Antidepressantsanxiolyticsdrug consumptiondrug expendituremental health disorderstrend analysis

Identifiers

PMID39386264
PMCPMC11462615

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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.