MétaCan
Menu
← Back to cohort
Record W4308681888 · doi:10.2196/40286

Adapting DIALOG+ in a School Setting—A Tool to Support Well-being and Resilience in Adolescents Living in Postconflict Areas During the COVID-19 Pandemic: Protocol for a Cluster Randomized Exploratory Study

2022· article· en· W4308681888 on OpenAlexvenueno aff
Carlos Gómez–Restrepo, María José Sarmiento-Suárez, Magda Alba-Saavedra, Victoria Bird, Stefan Priebe, Francois van Loggerenberg

Bibliographic record

VenueJMIR Research Protocols · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
FundersEconomic and Social Research CouncilBarts CharityUK Research and Innovation
KeywordsMental healthPsychological interventionPopulationPsychologyPsychological resilienceCluster randomised controlled trialMedical educationApplied psychologyMedicineSocial psychologyPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Colombia has a long history of an armed conflict that has severely affected communities with forced internal displacement and violence. Victims of violence and armed conflicts have higher rates of mental health disorders, and children and adolescents are particularly affected. However, the mental health needs of this population are often overlooked, especially in low- and middle-Income countries, where scarcity of resources exacerbates the problem that has been further compounded by the global COVID-19 pandemic. Thus, special attention should be paid to the development of interventions that target this population. OBJECTIVE: Our research aims to adapt an existing patient-centered digital intervention called DIALOG+ from a clinical setting to an educational setting using stakeholders' (teachers' and students') perspectives. We aim to evaluate the feasibility, acceptability, and estimated effect of implementing this intervention as a tool for the identification and mobilization of personal and social resources to mitigate the impact of social difficulties and to promote mental well-being. METHODS: We will conduct an exploratory mixed methods study in public schools of postconflict areas in Tolima, Colombia. The study consists of 3 phases: adaptation, exploration, and consolidation of the DIALOG+ tool. The adaptation phase will identify possible changes that the intervention requires on the basis of data from focus groups with teachers and students. The exploration phase will be an exploratory cluster randomized trial with teachers and school counselors to assess the acceptability, feasibility, and estimated effect of DIALOG+ for adolescents in school settings. Adolescents' data about mental health symptoms and wellness will be collected before and after DIALOG+ implementation. During this phase, teachers or counselors who were part of the intervention group will share their opinions through the think-aloud method. Lastly, the consolidation phase will consist of 2 focus groups with teachers and students to discuss their experiences and to understand acceptability. RESULTS: Study recruitment was completed in March 2022, and follow-up is anticipated to last through November 2022. CONCLUSIONS: This exploratory study will evaluate the acceptability, feasibility, and estimated effect of DIALOG+ for adolescents in postconflict school settings in Colombia. The use of this technology-supported tool aims to support interactions between teachers or counselors and students and to provide an effective student-centered communication guide. This is an innovative approach in both the school and the postconflict contexts that could help improve the mental health and wellness of adolescents in vulnerable zones in Colombia. Subsequent studies will be needed to evaluate the effectiveness of DIALOG+ in an educational context as a viable option to reduce the gap and inequities of mental health care access. TRIAL REGISTRATION: ISRCTN Registry ISRCTN14396374; https://www.isrctn.com/ISRCTN14396374?q=ISRCTN14396374. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40286.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.037
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.022
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0030.002
Science and technology studies0.0040.003
Scholarly communication0.0030.003
Open science0.0030.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0370.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.237
GPT teacher head0.567
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Research Protocols→Same topicCOVID-19 and Mental Health→French-language works237,207→