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Record W3046768016

Mental health interventions for rural adolescents: a scoping review

2019· review· en· W3046768016 on OpenAlexaff
Sophia den Otter Moore

Bibliographic record

VenueGlobal Health: Annual Review · 2019
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMental healthPsychological interventionStigma (botany)MedicinePopulationHealth careMEDLINEIntervention (counseling)Rural areaPsychiatryNursingEnvironmental healthPsychologyEconomic growthPolitical science
DOInot available

Abstract

fetched live from OpenAlex

It is estimated that less than half of adolescents in rural and remote communities receive the mental health support they need due to barriers including limited access to mental health services and care providers, poorer quality mental healthcare, higher transportation costs to services, and stigma. The purpose of this scoping review is to identify mental health interventions that have been implemented and evaluated in the literature specifically for rural adolescents between ages 10-19. A search of Medline was conducted. Of the 62 included studies, a majority were located in high income countries, focused on problematic substance use, were delivered in schools and through tele-health. The results suggest that while there have been diverse efforts to develop mental health interventions in this population, there are limited efforts to bring more specialized mental health services directly to rural communities, and rather a reliance on task shifting and tele-health for these needs. Finally, there is a need for more intervention research targeting high burden disorders among adolescents like anxiety and mood disorders, and more support for intervention activities in low and middle income countries.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.399
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.114
GPT teacher head0.516
Teacher spread0.402 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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