Development of a Framework for the Implementation of Synchronous Digital Mental Health: Realist Synthesis of Systematic Reviews.

digital health eHealth internet-based intervention mHealth mental disorders mental health qualitative research realist review systematic reviews telehealth telemedicine

Journal

JMIR mental health
ISSN: 2368-7959
Titre abrégé: JMIR Ment Health
Pays: Canada
ID NLM: 101658926

Informations de publication

Date de publication:
29 Mar 2022
Historique:
received: 06 11 2021
accepted: 20 01 2022
revised: 18 01 2022
entrez: 29 3 2022
pubmed: 30 3 2022
medline: 30 3 2022
Statut: epublish

Résumé

The use of technologies has served to reduce gaps in access to treatment, and digital health interventions show promise in the care of mental health problems. However, to understand what and how these interventions work, it is imperative to document the aspects related to their challenging implementation. The aim of this study was to determine what evidence is available for synchronous digital mental health implementation and to develop a framework, informed by a realist review, to explain what makes digital mental health interventions work for people with mental health problems. The SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, and Research type) framework was used to develop the following review question: What makes digital mental health interventions with a synchronous component work on people with mental health problems, including depression, anxiety, or stress, based on implementation, economic, quantitative, qualitative, and mixed methods studies? The MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases were searched from January 1, 2015, to September 2020 with no language restriction. A Measurement Tool to Assess Systematic Reviews-2 (AMSTAR-2) was used to assess the risk of bias and Confidence in Evidence from Reviews of Qualitative Research (CERQual) was used to assess the confidence in cumulative evidence. Realist synthesis analysis allowed for developing a framework on the implementation of synchronous digital mental health using a grounded-theory approach with an emergent approach. A total of 21 systematic reviews were included in the study. Among these, 90% (n=19) presented a critically low confidence level as assessed with AMSTAR-2. The realist synthesis allowed for the development of three hypotheses to identify the context and mechanisms in which these interventions achieve these outcomes: (1) these interventions reach populations otherwise unable to have access because they do not require the physical presence of the therapist nor the patient, thereby tackling geographic barriers posed by in-person therapy; (2) these interventions reach populations otherwise unable to have access because they can be successfully delivered by nonspecialists, which makes them more cost-effective to implement in health services; and (3) these interventions are acceptable and show good results in satisfaction because they require less need of disclosure and provide more privacy, comfortability, and participation, enabling the establishment of rapport with the therapist. We developed a framework with three hypotheses that explain what makes digital mental health interventions with a synchronous component work on people with mental health problems. Each hypothesis represents essential outcomes in the implementation process. PROSPERO International Prospective Register of Systematic Reviews CRD42020203811; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020203811. RR2-10.12688/f1000research.27150.2.

Sections du résumé

BACKGROUND BACKGROUND
The use of technologies has served to reduce gaps in access to treatment, and digital health interventions show promise in the care of mental health problems. However, to understand what and how these interventions work, it is imperative to document the aspects related to their challenging implementation.
OBJECTIVE OBJECTIVE
The aim of this study was to determine what evidence is available for synchronous digital mental health implementation and to develop a framework, informed by a realist review, to explain what makes digital mental health interventions work for people with mental health problems.
METHODS METHODS
The SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, and Research type) framework was used to develop the following review question: What makes digital mental health interventions with a synchronous component work on people with mental health problems, including depression, anxiety, or stress, based on implementation, economic, quantitative, qualitative, and mixed methods studies? The MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases were searched from January 1, 2015, to September 2020 with no language restriction. A Measurement Tool to Assess Systematic Reviews-2 (AMSTAR-2) was used to assess the risk of bias and Confidence in Evidence from Reviews of Qualitative Research (CERQual) was used to assess the confidence in cumulative evidence. Realist synthesis analysis allowed for developing a framework on the implementation of synchronous digital mental health using a grounded-theory approach with an emergent approach.
RESULTS RESULTS
A total of 21 systematic reviews were included in the study. Among these, 90% (n=19) presented a critically low confidence level as assessed with AMSTAR-2. The realist synthesis allowed for the development of three hypotheses to identify the context and mechanisms in which these interventions achieve these outcomes: (1) these interventions reach populations otherwise unable to have access because they do not require the physical presence of the therapist nor the patient, thereby tackling geographic barriers posed by in-person therapy; (2) these interventions reach populations otherwise unable to have access because they can be successfully delivered by nonspecialists, which makes them more cost-effective to implement in health services; and (3) these interventions are acceptable and show good results in satisfaction because they require less need of disclosure and provide more privacy, comfortability, and participation, enabling the establishment of rapport with the therapist.
CONCLUSIONS CONCLUSIONS
We developed a framework with three hypotheses that explain what makes digital mental health interventions with a synchronous component work on people with mental health problems. Each hypothesis represents essential outcomes in the implementation process.
TRIAL REGISTRATION BACKGROUND
PROSPERO International Prospective Register of Systematic Reviews CRD42020203811; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020203811.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
RR2-10.12688/f1000research.27150.2.

Identifiants

pubmed: 35348469
pii: v9i3e34760
doi: 10.2196/34760
pmc: PMC9006141
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e34760

Informations de copyright

©David Villarreal-Zegarra, Christoper A Alarcon-Ruiz, GJ Melendez-Torres, Roberto Torres-Puente, Alba Navarro-Flores, Victoria Cavero, Juan Ambrosio-Melgarejo, Jefferson Rojas-Vargas, Guillermo Almeida, Leonardo Albitres-Flores, Alejandra B Romero-Cabrera, Jeff Huarcaya-Victoria. Originally published in JMIR Mental Health (https://mental.jmir.org), 29.03.2022.

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Auteurs

David Villarreal-Zegarra (D)

Escuela de Medicina, Universidad César Vallejo, Trujillo, Peru.
Dirección de Investigación, Desarrollo e Innovación, Instituto Peruano de Orientación Psicológica, Lima, Peru.

Christoper A Alarcon-Ruiz (CA)

Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.

G J Melendez-Torres (GJ)

Peninsula Technology Assessment Group, College of Medicine and Health, University of Exeter, Devon, United Kingdom.

Roberto Torres-Puente (R)

Dirección de Investigación, Desarrollo e Innovación, Instituto Peruano de Orientación Psicológica, Lima, Peru.

Alba Navarro-Flores (A)

Dirección de Investigación, Desarrollo e Innovación, Instituto Peruano de Orientación Psicológica, Lima, Peru.
Georg-August-University Göttingen, International Max Planck Research School for Neurosciences, Göttingen, Germany.

Victoria Cavero (V)

Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.

Juan Ambrosio-Melgarejo (J)

Dirección de Investigación, Desarrollo e Innovación, Instituto Peruano de Orientación Psicológica, Lima, Peru.

Jefferson Rojas-Vargas (J)

Facultad de Psicología, Universidad Nacional Mayor de San Marcos, Lima, Peru.

Guillermo Almeida (G)

Dirección de Investigación, Desarrollo e Innovación, Instituto Peruano de Orientación Psicológica, Lima, Peru.

Leonardo Albitres-Flores (L)

Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
Facultad de Medicina, Universidad Nacional de Trujillo, Trujillo, Peru.

Alejandra B Romero-Cabrera (AB)

Carrera Profesional de Medicina Humana, Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima, Peru.

Jeff Huarcaya-Victoria (J)

Unidad de Psiquiatría de Enlace, Departamento de Psiquiatría, Hospital Nacional Guillermo Almenara Irigoyen, Lima, Peru.
Escuela Profesional de Medicina Humana, Universidad Privada San Juan Bautista, Filial Ica, Peru.

Classifications MeSH