Evidence map›Paper›PMID 41923042›Full record

ArticleBMC public health2026

Antidepressant discontinuation in France from an intersectional perspective: a discrete-time survival analysis within the MAIHDA framework.

Eugenia Alcalde, George Leckie, Emmanuel Wiernik, Vladimir Jolidon, Laurent Rigal

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Eugenia AlcaldeCentre de Recherche en Epidémiologie Et Santé Des Populations (CESP), Institut National de La Santé Et de La Recherche Médicale (INSERM) U1018, 16 Avenue Paul Vaillant Couturier, Villejuif, 94807, France. eugenia.alcalde@inserm.fr.ORCID http://orcid.org/0009-0008-4295-7130
George LeckieCentre for Multilevel Modelling, School of Education, University of Bristol, Bristol, UK.
Emmanuel WiernikUniversité Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, INSERM UMS 011, Population-Based Cohorts Unit, Paris, France.
Vladimir JolidonDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Cambridge, USA.
Laurent RigalCentre de Recherche en Epidémiologie Et Santé Des Populations (CESP), Institut National de La Santé Et de La Recherche Médicale (INSERM) U1018, 16 Avenue Paul Vaillant Couturier, Villejuif, 94807, France.

Funding

Economic and Social Research Council ES/X011313/1HORIZON EUROPE European Research Council 856478Swiss National Science Foundation 222070
6 · The paper itself

Abstract

backgroundAntidepressant (AD) discontinuation before remission is common in depression care, despite guidelines recommending continuation for six months after remission to prevent relapse. Evidence suggests that socially disadvantaged groups are more likely to discontinue treatment despite higher depression severity, which may contribute to widening inequalities in mental health care. Most studies focus on single social characteristics rather than considering complex intersecting social identities. This study examines AD discontinuation over the first year of treatment across intersectional social strata.

methodsWe analysed data from AD users in the French CONSTANCES cohort (N = 44,268; 64% women) linked to the national drug reimbursement register (2007–2021). We assessed AD discontinuation using discrete time survival analysis within a Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) framework across 36 intersectional social strata based on unique combinations of gender, education, generation, and migration background.

resultsSocial inequities in AD discontinuation between intersectional strata slightly increased over time. Men or women intersecting lower education, younger generations, and migrant backgrounds had a 44% predicted probability of remaining on treatment at month 1 and 12% at month 11. Men or women with higher education, non-migrant status, and belonging to Generation X or the Boomers, had a 66% predicted probability of remaining on treatment at month 1 and 28% at month 11, indicating longer treatment durations.

conclusionsWhile AD discontinuation may sometimes reflect remission, it is also shaped by intersectional social contexts. Our findings show that AD discontinuation is socially patterned, and this could inform comprehensive policies and programs aimed at supporting individuals from social strata that may experience more difficulties in sustaining treatment.

Indexed as

Antidepressive AgentsDepressionDrug MonitoringAdultAgedFemaleFranceHumansMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsSurvival AnalysisAntidepressive AgentsAntidepressantsDiscontinuationIntersectionalityMAIHDASurvival analysis

Identifiers

PMID41923042
PMCPMC13169745

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