Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis
Introduction: Current evidence reveals concerning rates of non-adherence to antidepressant treatment, possibly influenced by various relevant determinants such as sociodemographic factors or those related to the health system and their professionals. The aim of this paper is to review the scientific...
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Frontiers Media S.A.
2024-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2024.1327155/full |
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author | Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Diego Infante-Ventura Diego Infante-Ventura Diego Infante-Ventura Diego Hernández-González Yadira González-Hernández Yadira González-Hernández Beatriz González de León Amado Rivero-Santana Amado Rivero-Santana Amado Rivero-Santana Isabel Hurtado Isabel Hurtado Francisco Javier Acosta Artiles Francisco Javier Acosta Artiles |
author_facet | Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Diego Infante-Ventura Diego Infante-Ventura Diego Infante-Ventura Diego Hernández-González Yadira González-Hernández Yadira González-Hernández Beatriz González de León Amado Rivero-Santana Amado Rivero-Santana Amado Rivero-Santana Isabel Hurtado Isabel Hurtado Francisco Javier Acosta Artiles Francisco Javier Acosta Artiles |
author_sort | Tasmania Del Pino-Sedeño |
collection | DOAJ |
description | Introduction: Current evidence reveals concerning rates of non-adherence to antidepressant treatment, possibly influenced by various relevant determinants such as sociodemographic factors or those related to the health system and their professionals. The aim of this paper is to review the scientific evidence on sociodemographic and clinical predictors of adherence to pharmacological treatment in patients diagnosed with a depressive disorder.Methods: a systematic review (SR) was conducted. The search for a previous SR was updated and de novo searches were performed in Medline, EMBASE, Web of Science (WoS) and PsycInfo (last 10 years). The risk of bias was assessed using the Cochrane tool for non-randomized studies—of Exposure (ROBINS-E). Meta-analyses were conducted.Results: Thirty-nine studies (n = 2,778,313) were included, 24 of them in the meta-analyses. In the initiation phase, no association of adherence was found with any of the predictors studied. In the implementation and discontinuation phases, middle-aged and older patients had better adherence rates and lower discontinuation rates than younger ones. White patients adhered to treatment better than African-American patients.Discussion: Age and ethnicity are presented as the predictive factors of pharmacological adherence. However, more research is needed in this field to obtain more conclusive results on other possible factors.Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023414059], identifier [CRD42023414059] |
first_indexed | 2024-03-08T12:24:03Z |
format | Article |
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issn | 1663-9812 |
language | English |
last_indexed | 2024-03-08T12:24:03Z |
publishDate | 2024-01-01 |
publisher | Frontiers Media S.A. |
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spelling | doaj.art-3bc456ba75574605880f575bf9d3ad732024-01-22T11:26:29ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122024-01-011510.3389/fphar.2024.13271551327155Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysisTasmania Del Pino-Sedeño0Tasmania Del Pino-Sedeño1Tasmania Del Pino-Sedeño2Tasmania Del Pino-Sedeño3Tasmania Del Pino-Sedeño4Diego Infante-Ventura5Diego Infante-Ventura6Diego Infante-Ventura7Diego Hernández-González8Yadira González-Hernández9Yadira González-Hernández10Beatriz González de León11Amado Rivero-Santana12Amado Rivero-Santana13Amado Rivero-Santana14Isabel Hurtado15Isabel Hurtado16Francisco Javier Acosta Artiles17Francisco Javier Acosta Artiles18Canary Islands Health Research Institute Foundation (FIISC), Santa Cruz de Tenerife, SpainEvaluation Unit (SESCS), Canary Islands Health Service (SCS), Santa Cruz de Tenerife, SpainResearch Network on Chronicity, Primary Care and Prevention and Health Promotion (RICAPPS), Tenerife, SpainFaculty of Health Sciences, Universidad Europea de Canarias, Tenerife, SpainDepartment of Clinical Psychology, Psychobiology and Methodology, University of La Laguna, Tenerife, SpainCanary Islands Health Research Institute Foundation (FIISC), Santa Cruz de Tenerife, SpainEvaluation Unit (SESCS), Canary Islands Health Service (SCS), Santa Cruz de Tenerife, SpainDepartment of Clinical Psychology, Psychobiology and Methodology, University of La Laguna, Tenerife, SpainFaculty of Health Sciences, Universidad Europea de Canarias, Tenerife, SpainCanary Islands Health Research Institute Foundation (FIISC), Santa Cruz de Tenerife, SpainEvaluation Unit (SESCS), Canary Islands Health Service (SCS), Santa Cruz de Tenerife, SpainMultiprofessional Teaching Unit of Family and Community Care La Laguna-Tenerife Norte, Management of Primary Care of Tenerife, Santa Cruz de Tenerife, SpainCanary Islands Health Research Institute Foundation (FIISC), Santa Cruz de Tenerife, SpainEvaluation Unit (SESCS), Canary Islands Health Service (SCS), Santa Cruz de Tenerife, SpainResearch Network on Chronicity, Primary Care and Prevention and Health Promotion (RICAPPS), Tenerife, SpainResearch Network on Chronicity, Primary Care and Prevention and Health Promotion (RICAPPS), Tenerife, SpainThe Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Valencia, SpainDepartment of Mental Health, General Management of Health care Programs, Canary Islands Health Service, Las Palmas de Gran Canaria, SpainDepartment of Psychiatry, Insular University Hospital of Gran Canaria, Las Palmas de Gran Canaria, SpainIntroduction: Current evidence reveals concerning rates of non-adherence to antidepressant treatment, possibly influenced by various relevant determinants such as sociodemographic factors or those related to the health system and their professionals. The aim of this paper is to review the scientific evidence on sociodemographic and clinical predictors of adherence to pharmacological treatment in patients diagnosed with a depressive disorder.Methods: a systematic review (SR) was conducted. The search for a previous SR was updated and de novo searches were performed in Medline, EMBASE, Web of Science (WoS) and PsycInfo (last 10 years). The risk of bias was assessed using the Cochrane tool for non-randomized studies—of Exposure (ROBINS-E). Meta-analyses were conducted.Results: Thirty-nine studies (n = 2,778,313) were included, 24 of them in the meta-analyses. In the initiation phase, no association of adherence was found with any of the predictors studied. In the implementation and discontinuation phases, middle-aged and older patients had better adherence rates and lower discontinuation rates than younger ones. White patients adhered to treatment better than African-American patients.Discussion: Age and ethnicity are presented as the predictive factors of pharmacological adherence. However, more research is needed in this field to obtain more conclusive results on other possible factors.Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023414059], identifier [CRD42023414059]https://www.frontiersin.org/articles/10.3389/fphar.2024.1327155/fulladherenceantidepressantsdepressiondepressive disordersociodemographic predictorsclinical predictors |
spellingShingle | Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Tasmania Del Pino-Sedeño Diego Infante-Ventura Diego Infante-Ventura Diego Infante-Ventura Diego Hernández-González Yadira González-Hernández Yadira González-Hernández Beatriz González de León Amado Rivero-Santana Amado Rivero-Santana Amado Rivero-Santana Isabel Hurtado Isabel Hurtado Francisco Javier Acosta Artiles Francisco Javier Acosta Artiles Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis Frontiers in Pharmacology adherence antidepressants depression depressive disorder sociodemographic predictors clinical predictors |
title | Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis |
title_full | Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis |
title_fullStr | Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis |
title_full_unstemmed | Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis |
title_short | Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis |
title_sort | sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders a systematic review with a meta analysis |
topic | adherence antidepressants depression depressive disorder sociodemographic predictors clinical predictors |
url | https://www.frontiersin.org/articles/10.3389/fphar.2024.1327155/full |
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