Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysis

Introduction Common mental disorders, including depression, anxiety and related somatic health symptoms, are leading causes of disability worldwide. Especially in low-resource settings, psychosocial interventions delivered by non-specialist providers through task-sharing modalities proved to be vali...

Full description

Bibliographic Details
Main Authors: Toshi A Furukawa, Eirini Karyotaki, Pim Cuijpers, Vikram Patel, Marianna Purgato, Davide Papola, Marit Sijbrandij, Federico Tedeschi, Corrado Barbui, Efthimiou Orestis
Format: Article
Language:English
Published: BMJ Publishing Group 2023-11-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/13/11/e077037.full
_version_ 1797435083832950784
author Toshi A Furukawa
Eirini Karyotaki
Pim Cuijpers
Vikram Patel
Marianna Purgato
Davide Papola
Marit Sijbrandij
Federico Tedeschi
Corrado Barbui
Efthimiou Orestis
author_facet Toshi A Furukawa
Eirini Karyotaki
Pim Cuijpers
Vikram Patel
Marianna Purgato
Davide Papola
Marit Sijbrandij
Federico Tedeschi
Corrado Barbui
Efthimiou Orestis
author_sort Toshi A Furukawa
collection DOAJ
description Introduction Common mental disorders, including depression, anxiety and related somatic health symptoms, are leading causes of disability worldwide. Especially in low-resource settings, psychosocial interventions delivered by non-specialist providers through task-sharing modalities proved to be valid options to expand access to mental healthcare. However, such interventions are usually eclectic multicomponent interventions consisting of different combinations of evidence-based therapeutic strategies. Which of these various components (or combinations thereof) are more efficacious (and for whom) to reduce common mental disorder symptomatology is yet to be substantiated by evidence.Methods and analysis Comprehensive search was performed in electronic databases MEDLINE, Embase, PsycINFO and the Cochrane Register of Controlled Trials—CENTRAL from database inception to 15 March 2023 to systematically identify all randomised controlled trials that compared any single component or multicomponent psychosocial intervention delivered through the task-sharing modality against any active or inactive control condition in the treatment of adults suffering from common mental disorders. From these trials, individual participant data (IPD) of all measured outcomes and covariates will be collected. We will dismantle psychosocial interventions creating a taxonomy of components and then apply the IPD component network meta-analysis (IPD-cNMA) methodology to assess the efficacy of individual components (or combinations thereof) according to participant-level prognostic factors and effect modifiers.Ethics and dissemination Ethics approval is not applicable for this study since no original data will be collected. Results from this study will be published in peer-reviewed journals and presented at relevant conferences.
first_indexed 2024-03-09T10:42:07Z
format Article
id doaj.art-f2ee90edd21e42b5b13a0e23d94df4de
institution Directory Open Access Journal
issn 2044-6055
language English
last_indexed 2024-03-09T10:42:07Z
publishDate 2023-11-01
publisher BMJ Publishing Group
record_format Article
series BMJ Open
spelling doaj.art-f2ee90edd21e42b5b13a0e23d94df4de2023-12-01T13:40:07ZengBMJ Publishing GroupBMJ Open2044-60552023-11-01131110.1136/bmjopen-2023-077037Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysisToshi A Furukawa0Eirini Karyotaki1Pim Cuijpers2Vikram Patel3Marianna Purgato4Davide Papola5Marit Sijbrandij6Federico Tedeschi7Corrado Barbui8Efthimiou Orestis9Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto University, Kyoto, JapanDepartment of Clinical, Neuro and Developmental Psychology, WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsDepartment of Clinical, Neuro and Developmental Psychology, WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USAWHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neuroscience, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, Verona, ItalyDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USADepartment of Clinical, Neuro and Developmental Psychology, WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsWHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neuroscience, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, Verona, ItalyWHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neuroscience, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, Verona, ItalyInstitute of Primary Health Care (BIHAM), University of Bern, Bern, SwitzerlandIntroduction Common mental disorders, including depression, anxiety and related somatic health symptoms, are leading causes of disability worldwide. Especially in low-resource settings, psychosocial interventions delivered by non-specialist providers through task-sharing modalities proved to be valid options to expand access to mental healthcare. However, such interventions are usually eclectic multicomponent interventions consisting of different combinations of evidence-based therapeutic strategies. Which of these various components (or combinations thereof) are more efficacious (and for whom) to reduce common mental disorder symptomatology is yet to be substantiated by evidence.Methods and analysis Comprehensive search was performed in electronic databases MEDLINE, Embase, PsycINFO and the Cochrane Register of Controlled Trials—CENTRAL from database inception to 15 March 2023 to systematically identify all randomised controlled trials that compared any single component or multicomponent psychosocial intervention delivered through the task-sharing modality against any active or inactive control condition in the treatment of adults suffering from common mental disorders. From these trials, individual participant data (IPD) of all measured outcomes and covariates will be collected. We will dismantle psychosocial interventions creating a taxonomy of components and then apply the IPD component network meta-analysis (IPD-cNMA) methodology to assess the efficacy of individual components (or combinations thereof) according to participant-level prognostic factors and effect modifiers.Ethics and dissemination Ethics approval is not applicable for this study since no original data will be collected. Results from this study will be published in peer-reviewed journals and presented at relevant conferences.https://bmjopen.bmj.com/content/13/11/e077037.full
spellingShingle Toshi A Furukawa
Eirini Karyotaki
Pim Cuijpers
Vikram Patel
Marianna Purgato
Davide Papola
Marit Sijbrandij
Federico Tedeschi
Corrado Barbui
Efthimiou Orestis
Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysis
BMJ Open
title Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysis
title_full Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysis
title_fullStr Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysis
title_full_unstemmed Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysis
title_short Dismantling and personalising task-sharing psychosocial interventions for common mental disorders: a study protocol for an individual participant data component network meta-analysis
title_sort dismantling and personalising task sharing psychosocial interventions for common mental disorders a study protocol for an individual participant data component network meta analysis
url https://bmjopen.bmj.com/content/13/11/e077037.full
work_keys_str_mv AT toshiafurukawa dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT eirinikaryotaki dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT pimcuijpers dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT vikrampatel dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT mariannapurgato dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT davidepapola dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT maritsijbrandij dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT federicotedeschi dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT corradobarbui dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis
AT efthimiouorestis dismantlingandpersonalisingtasksharingpsychosocialinterventionsforcommonmentaldisordersastudyprotocolforanindividualparticipantdatacomponentnetworkmetaanalysis