Digital psychosocial intervention for depression among older adults in socioeconomically deprived areas in Brazil (PRODIGITAL-D): protocol for an individually randomised controlled trial.

Behavioural activation Brazil Depression Digital intervention Low- and middle-income countries Process evaluation Psychoeducation Psychosocial intervention Randomised controlled trial

Journal

Trials
ISSN: 1745-6215
Titre abrégé: Trials
Pays: England
ID NLM: 101263253

Informations de publication

Date de publication:
07 Sep 2022
Historique:
received: 03 05 2022
accepted: 02 08 2022
entrez: 7 9 2022
pubmed: 8 9 2022
medline: 11 9 2022
Statut: epublish

Résumé

Depression in older adults is a challenge for health systems in most low- and middle-income countries (LMICs). Digital strategies for the management of this condition have been emerging worldwide, but the effectiveness of most of them is still unclear, especially among older adults. Thus, we aim to assess the effectiveness and cost-effectiveness of a digital psychosocial intervention to treat depression among older adults living in socioeconomically deprived areas in Guarulhos, Brazil. We will conduct a two-arm individually randomised controlled trial with 1:1 allocation ratio. Five hundred older adults aged 60 years or over with depressive symptomatology (9-item Patient Health Questionnaire score, PHQ-9 ≥ 10) and registered with one of the primary care clinics will be recruited to participate in this study. A 6-week digital psychosocial programme, named Viva Vida, will be delivered via WhatsApp to participants allocated to the intervention arm. The Viva Vida will send psychoeducational and behavioural activation audio and visual messages 4 days a week for 6 weeks. The control arm will only receive a single message with general information about depression. The primary outcome will be the proportion of depression recovery (PHQ-9 < 10) assessed at 3 months. The cost-effectiveness of the intervention will be assessed at 5 months. A detailed process evaluation will be used to explore context and important implementation outcomes. This programme was based on the PROACTIVE intervention and designed to be delivered without face-to-face contact. If effective, it could be a simple treatment option, appropriate not only when social distancing is required, but it could also be included as a regular public health programme to initiate depression treatment, particularly in LMICs where resources allocated to mental health are scarce. Registro Brasileiro de Ensaios Clínicos (ReBEC), RBR-4c94dtn. Registered on 22 October 2021 (submitted on 03 August 2021).

Sections du résumé

BACKGROUND BACKGROUND
Depression in older adults is a challenge for health systems in most low- and middle-income countries (LMICs). Digital strategies for the management of this condition have been emerging worldwide, but the effectiveness of most of them is still unclear, especially among older adults. Thus, we aim to assess the effectiveness and cost-effectiveness of a digital psychosocial intervention to treat depression among older adults living in socioeconomically deprived areas in Guarulhos, Brazil.
METHODS METHODS
We will conduct a two-arm individually randomised controlled trial with 1:1 allocation ratio. Five hundred older adults aged 60 years or over with depressive symptomatology (9-item Patient Health Questionnaire score, PHQ-9 ≥ 10) and registered with one of the primary care clinics will be recruited to participate in this study. A 6-week digital psychosocial programme, named Viva Vida, will be delivered via WhatsApp to participants allocated to the intervention arm. The Viva Vida will send psychoeducational and behavioural activation audio and visual messages 4 days a week for 6 weeks. The control arm will only receive a single message with general information about depression. The primary outcome will be the proportion of depression recovery (PHQ-9 < 10) assessed at 3 months. The cost-effectiveness of the intervention will be assessed at 5 months. A detailed process evaluation will be used to explore context and important implementation outcomes.
DISCUSSION CONCLUSIONS
This programme was based on the PROACTIVE intervention and designed to be delivered without face-to-face contact. If effective, it could be a simple treatment option, appropriate not only when social distancing is required, but it could also be included as a regular public health programme to initiate depression treatment, particularly in LMICs where resources allocated to mental health are scarce.
TRIAL REGISTRATION BACKGROUND
Registro Brasileiro de Ensaios Clínicos (ReBEC), RBR-4c94dtn. Registered on 22 October 2021 (submitted on 03 August 2021).

Identifiants

pubmed: 36071463
doi: 10.1186/s13063-022-06623-z
pii: 10.1186/s13063-022-06623-z
pmc: PMC9449935
doi:

Types de publication

Clinical Trial Protocol Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

761

Subventions

Organisme : Medical Research Council
ID : MR/R006229/1
Pays : United Kingdom
Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo
ID : 2017/50094-2
Organisme : MRF
ID : MR/R006229/1
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s).

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Auteurs

Carina Akemi Nakamura (CA)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Marcia Scazufca (M)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil. scazufca@usp.br.

Felipe Azevedo Moretti (FA)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Thiago Vinicius Nadaleto Didone (TVN)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Mariana Mendes de Sá Martins (MM)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Luara Aragoni Pereira (LA)

Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil.

Caio Hudson Queiroz de Souza (CHQ)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Gabriel Macias de Oliveira (GM)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Marcelo Oliveira da Costa (MO)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Marcelo Machado (M)

Debasé Audiovisual, Sao Paulo, Brazil.

Evelyn da Silva Bitencourt (E)

Faculdade de Arquitetura e Urbanismo FAU, Universidade de Sao Paulo, Sao Paulo, Brazil.

Monica Souza Dos Santos (MS)

Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Jamie Murdoch (J)

Department of Population Health Sciences, King's College London, London, UK.

Pepijn van de Ven (P)

Health Research Institute, University of Limerick, Limerick, Ireland.

Nadine Seward (N)

Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

William Hollingworth (W)

Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Tim J Peters (TJ)

Population Health Sciences, Bristol Medical School, and Bristol Dental School, University of Bristol, Bristol, UK.

Ricardo Araya (R)

Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

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Classifications MeSH