Evidence map›Paper›PMID 33062034›Full record

ReviewAnnals of general psychiatry2020

How to improve adherence to antidepressant treatments in patients with major depression: a psychoeducational consensus checklist.

Bernardo Dell'Osso, Umberto Albert, Giuseppe Carrà, Maurizio Pompili, Maria Giulia Nanni, Massimo Pasquini, Nicola Poloni, Andrea Raballo, Fabio Sambataro, Gianluca Serafini and 4 more

Abstract readReview
In one paragraph

Review in Annals of general psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  14. The Dropout Rates and Associated Factors in Patients with Mood Disorders in Long-term Naturalistic Treatment.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
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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

14 authors.

Bernardo Dell'OssoDepartment of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy.
Umberto AlbertDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy.
Giuseppe CarràDepartment of Medicine and Surgery, University of Milan Bicocca, Milan, Italy.ORCID 0000-0002-6877-6169
Maurizio PompiliDept. of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Maria Giulia NanniInstitute of Psychiatry, Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy.
Massimo PasquiniDepartment of Human Neurosciences-Faculty of Medicine and Dentistry-SAPIENZA University of Rome, Rome, Italy.
Nicola PoloniDepartment of Medicine and Surgery, Section of Psychiatry, University of Insubria, Varese, Italy.
Andrea RaballoSection of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Perugia, Italy.
Fabio SambataroSection of Psychiatry, Department of Neuroscience, University of Padova, Padua, Italy.
Gianluca SerafiniInstitute of Psychiatry, Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy.
Caterina ViganòDepartment of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy.ORCID 0000-0001-7937-1266
Koen DemyttenaereCenter for Public Health Psychiatry, KU Leuven, Leuven, Belgium.
Roger S McIntyreMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON Canada.
Andrea FiorilloDepartment of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies conducted in primary care as well as in psychiatric settings show that more than half of patients suffering from major depressive disorder (MDD) have poor adherence to antidepressants. Patients prematurely discontinue antidepressant therapy for various reasons, including patient-related (e.g., misperceptions about antidepressants, side-effects, and lack of tolerability), clinician-related (e.g., insufficient instruction received by clinicians about the medication, lack of shared decision-making, and follow-up care), as well as structural factors (e.g., access, cost, and stigma). The high rate of poor adherence to antidepressant treatments provides the impetus for identifying factors that are contributing to noncompliance in an individual patient, to implement a careful education about this phenomenon. As adherence to antidepressants is one of the major unmet needs in MDD treatment, being associated with negative outcomes, we sought to identify a series of priorities to be discussed with persons with MDD with the larger aim to improve treatment adherence. To do so, we analyzed a series of epidemiological findings and clinical reasons for this phenomenon, and then proceeded to define through a multi-step consensus a set of recommendations to be provided by psychiatrists and other practitioners at the time of the first (prescription) visit with patients. Herein, we report the results of this initiative.

Indexed as

AdherenceAntidepressantsConcordanceConsensusMajor depressive disorder

Identifiers

PMID33062034
PMCPMC7552507

What OpenQuestion holds

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LicenceCC BY
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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.