Evidence map›Paper›PMID 40356005›Full record

ArticleActas espanolas de psiquiatria2025

Adherence to Antipsychotics, COVID-19 and Stigma: A Rainbow After the Storm?

Luiz Dratcu, Xavier Boland

Abstract read
In one paragraph

Article in Actas espanolas de psiquiatria, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Luiz DratcuAcute Inpatient Psychiatry, Maudsley Hospital, South London and Maudsley NHS Foundation Trust, SE5 8AZ London, UK.
Xavier BolandLiaison Psychiatry Service, Lewisham Hospital, South London and Maudsley NHS Foundation Trust, SE5 8AZ London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor adherence to antipsychotic treatment is the main reason for relapse and admission in patients with severe mental illness (SMI). In addition to apprehensions about side effects, factors for non-adherence include the stigma of mental illness, which also extends to its treatment and which is further compounded by negative perceptions of antipsychotics within the medical profession itself. By reinforcing misconceptions around antipsychotics, warnings at the outbreak of pandemic associating antipsychotic use with coronavirus disease 2019 (COVID-19) related risks could have discouraged antipsychotic prescribing when it was otherwise indicated and also disrupted adherence of SMI patients to the treatment they need. Several studies on risk of antipsychotic use during the pandemic adopted inappropriate inclusion criteria and reached conclusions that proved misleading, particularly if applied to SMI patients. Methodological flaws included ill-defined cohort groups and not accounting for adherence to treatment or clinical indication for antipsychotic prescribing. Conversely, reports from the clinical setting, which were later corroborated in clinical studies, have shown that adherence to antipsychotics may actually protect from COVID-19, thus indicating that the benefits of adhering to antipsychotic treatment extend beyond controlling psychotic symptoms alone. Evidence emerging from the COVID-19 experience adds to the view that adherence to second generation antipsychotics in SMI offers a therapeutic effect to both mental and physical health. This validation of modern antipsychotics as a vital medical asset can prove a turning point in the fight to dispel the stigma of SMI and its treatment.

Indexed as

Antipsychotic AgentsCOVID-19Medication AdherenceMental DisordersPsychotic DisordersSocial StigmaHumansAntipsychotic Agents

Identifiers

PMID40356005
PMCPMC12069920

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.