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Record W4401187662 · doi:10.1111/add.16623

School‐based interventions targeting substance use among young people in low‐and‐middle‐income countries: A scoping review

2024· review· en· W4401187662 on OpenAlexafffund
Abdul Cadri, Ameena Nizar Beema, Tibor Schuster, Tracie A. Barnett, Emmanuel Asampong, Alayne M. Adams

Bibliographic record

VenueAddiction · 2024
Typereview
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsMcGill University
FundersFaculty of Medicine, McGill University
KeywordsPsychological interventionMedicineData extractionPopulationRandomized controlled trialSystematic reviewMEDLINEYoung adultEnvironmental healthPsychiatryGerontology

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: Globally, harmful substance use is among the leading causes of premature deaths in the general population, and most of these behaviours are initiated during pre-adolescence to young adulthood. Preventing the onset or reducing the prevalence of substance use among young people is thus a global health priority. Diverse school-based interventions have been implemented in low-and-middle-income countries (LMICs); however, evidence regarding their theoretical underpinnings and core components is lacking. The aim of this scoping review was to identify the underlying (social/behavioural) theories, models or frameworks (TMF) and core (practical) components of school-based interventions in LMICs aimed at preventing the onset or reducing the prevalence of substance use among young people. METHODS: Using the Joanna Briggs Institute (JBI) guidance for conducting scoping reviews, we searched scientific literature databases for articles published from 1995 to 2022. A further search was conducted using the reference lists of included articles. We selected randomized and non-randomized trials of school-based interventions in LMICs that aimed at preventing the onset or reducing the prevalence of substance use among young people. We used Covidence software to screen titles and abstracts, as well as full texts. We then extracted the data and analysed it using a descriptive content analysis approach. Two reviewers conducted the screening, extraction and data analysis and discussed discrepancies, and clarified doubts and uncertainties through consultation with the other team members. FINDINGS: A total of 58 articles were included in the review. Most articles (63.8%) used either a single or combination of two or more TMFs to inform their interventions. The most widely used TMF was social learning theory followed by theory of planned behaviour. We identified six core components of substance use prevention interventions: education, school environment, school policy, parental involvement, peer engagement and counselling. CONCLUSION: This scoping review outlines the core components of school-based substance use prevention interventions used in low-and-middle-income countries and the common theories, models or frameworks that underpin the design of those interventions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.353
Teacher spread0.295 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations6
Published2024
Admission routes2
Has abstractyes

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