Evidence map›Paper›PMID 34353780›Full record

SynthesisRevista Colombiana de psiquiatria2021

Technology-based mental healthcare models: A systematic review of the literature.

Juan Camilo Rosas, María Camila Gómez-Ayala, Arturo Marroquín Rivera, Felipe Botero-Rodríguez, Magda Cepeda, Fernando Suárez-Obando, Sophie M Bartels, Carlos Gómez-Restrepo

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Revista Colombiana de psiquiatria, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Juan Camilo RosasDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia. Electronic address: rosas.juan@javeriana.edu.co.
María Camila Gómez-AyalaDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Arturo Marroquín RiveraDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Felipe Botero-RodríguezDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Magda CepedaDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Fernando Suárez-ObandoDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia; Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Bogotá, Colombia.
Sophie M BartelsCenter for Technology and Behavioral Health, Departamento de Psiquiatría, Geisel School of Medicine at Dartmouth College, United States.
Carlos Gómez-RestrepoDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Bogotá, Colombia; Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.

Funding

Scaling up Science-based Mental Health Interventions in Latin AmericaU19MH109988 · NIMH · DARTMOUTH COLLEGE · PI GOMEZ, CARLOS · 2016 to 2020
$3.5M
NIMH NIH HHS U19 MH109988
6 · The paper itself

Abstract

introductionThis systematic review summarises the existing evidence on the implementation of technology-based mental healthcare models in the primary care setting.

methodsA systematic search was conducted (MEDLINE, Embase, CENTRAL) in August 2019 and studies were selected according to predefined eligibility criteria. The main outcomes were clinical effectiveness, adherence to primary treatment and cost of implementation. SELECTION CRITERIA: Studies with an experimental or quasi-experimental design that evaluated the implementation of technology-based mental healthcare models were included.

resultsFive articles met the inclusion criteria. The models included technological devices such as tablets, cellphones and computers, with programs and mobile apps that supported decision-making in the care pathway. These decisions took place at different times, from the universal screening phase to the follow-up of patients with specific conditions. In general, the studies showed a decrease in the reported symptoms. However, there was great heterogeneity in both the health conditions and the outcomes, which hindered a quantitative synthesis. The assessment of risk of bias showed low quality of evidence.

conclusionThere is not enough evidence to support the implementation of a technology-based mental healthcare model. High quality studies that focus on implementation and effectiveness outcomes are needed to evaluate the impact of technology-based mental healthcare models in the primary care setting.

Indexed as

Cell PhoneMental Health ServicesBiasHumansPrimary Health CareTechnologyAtención primaria de saludCiencia de la implementaciónHealthcare modelImplementation scienceMental healthModelos de atención en saludPrimary healthcareRevisión sistemáticaSalud mentalSystematic review

Identifiers

PMID34353780
PMCPMC9562609

What OpenQuestion holds

Textmetadata
LicenceTDM
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.