ArticleSchool psychology (Washington, D.C.)2025
Enhancing accessibility and scalability of school-based programs to improve youth attention and behavior: Open feasibility trial of the remote CLS-R-FUERTE program in Mexico.
Article in School psychology (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Language-dependent expression of anxiety and depression symptoms in Japanese-English bilinguals.Clinical psychological science : a journal of the Association for Psychological Science · 2026Article
- Implementation of a Multi-Site Digitally-Enhanced School Clinician Training and ADHD/ODD Intervention Program in Mexico: Randomized Controlled Trial of CLS-R-FUERTE.Journal of technology in behavioral science · 2024Article
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
Neurodevelopmental disorders of inattention and disruptive behavior, such as attention-deficit/hyperactivity disorder and oppositional defiant disorder, are among the most common youth mental health conditions across cultures. There is a need to develop more accessible school-based intervention and training programs, as well as create a system with clinical research capacity for scalable school clinician training and evaluation, to support students with attention and behavior concerns worldwide. We adapted the collaborative life skills program for Mexico (i.e., CLS-FUERTE) for remote delivery (i.e., CLS-R-FUERTE) and conducted a three-school open trial with
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Registered trials
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.