Evidence map›Paper›PMID 32491040›Full record

ReviewRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)

How can we improve antidepressant adherence in the management of depression? A targeted review and 10 clinical recommendations.

Marco Solmi, Alessandro Miola, Giovanni Croatto, Giorgio Pigato, Angela Favaro, Michele Fornaro, Michael Berk, Lee Smith, Joao Quevedo, Michael Maes and 2 more

Abstract readReview
In one paragraph

Review in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Marco SolmiDipartimento di Neuroscienze, Università di Padova, Padova, Italy.ORCID http://orcid.org/0000-0003-4877-7233
Alessandro MiolaDipartimento di Neuroscienze, Università di Padova, Padova, Italy.
Giovanni CroattoDipartimento di Neuroscienze, Università di Padova, Padova, Italy.
Giorgio PigatoAzienda Ospedale Università di Padova, Padova, Italy.
Angela FavaroDipartimento di Neuroscienze, Università di Padova, Padova, Italy.
Michele FornaroDipartimento di psichiatria, Università Federico II, Napoli, Italy.ORCID http://orcid.org/0000-0002-9647-0853
Michael BerkInstitute for Mental and Physical Health and Clinical Translation (IMPACT Strategic Research Centre), School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia.
Lee SmithCambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK.
Joao QuevedoPrograma de Pós-Graduação em Ciências da Saúde, Laboratório de Neurociências, Unidade de Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.ORCID http://orcid.org/0000-0003-3114-6611
Michael MaesIMPACT Strategic Research Centre, Barwon Health, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID http://orcid.org/0000-0002-2012-871X
Christoph U CorrellDepartment of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
André F CarvalhoIMPACT Strategic Research Centre, Barwon Health, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID http://orcid.org/0000-0002-2500-5671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adherence to antidepressants is crucial for optimal treatment outcomes when treating depressive disorders. However, poor adherence is common among patients prescribed antidepressants. This targeted review summarizes the main factors associated with poor adherence, interventions that promote antidepressant adherence, pharmacological aspects related to antidepressant adherence, and formulates 10 clinical recommendations to optimize antidepressant adherence. Patient-related factors associated with antidepressant non-adherence include younger age, psychiatric and medical comorbidities, cognitive impairment, and substance use disorders. Prescriber behavior-related factors include neglecting medical and family histories, selecting poorly tolerated antidepressants, or complex antidepressant regimens. Multi-disciplinary interventions targeting both patient and prescriber, aimed at improving antidepressant adherence, include psychoeducation and providing the patient with clear behavioral interventions to prevent/minimize poor adherence. Regarding antidepressant choice, agents with individually tailored tolerability profile should be chosen. Ten clinical recommendations include four points focusing on the patient (therapeutic alliance, adequate history taking, measurement of depressive symptoms, and adverse effects improved access to clinical care), three focusing on prescribing practice (psychoeducation, individually tailored antidepressant choice, simplified regimen), two focusing on mental health services (improved access to mental health care, incentivized adherence promotion and monitoring), and one relating to adherence measurement (adherence measurement with scales and/or therapeutic drug monitoring).

Indexed as

Antidepressive AgentsDepressionHumansTreatment OutcomeAntidepressive Agents

Identifiers

PMID32491040
PMCPMC8023158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.