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Record W2047969685 · doi:10.1371/journal.pone.0053435

The Journey of Addiction: Barriers to and Facilitators of Drug Use Cessation among Street Children and Youths in Western Kenya

2013· article· en· W2047969685 on OpenAlexaff
Lonnie Embleton, Lukoye Atwoli, David Ayuku, Paula Braitstein

Bibliographic record

VenuePLoS ONE · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of TorontoPublic Health Ontario
FundersNational Institutes of HealthEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUnited States Agency for International Development
KeywordsAddictionDrugMedicineSmoking cessationPsychiatryFamily medicineGerontology

Abstract

fetched live from OpenAlex

This mixed-methods study examined barriers to and facilitators of street children's drug use cessation in Eldoret, Kenya utilizing a cross-sectional survey and focus group discussions with a community-based sample of street-involved children and youth. The primary objective of this study was to describe factors that may assist or impede cessation of drug use that can be utilized in developing substance use interventions for this marginalized population. In 2011, 146 children and youth ages 10-19 years, classified as either children on the street or children of the street were recruited to participate in the cross-sectional survey. Of the 146 children that participated in the survey 40 were invited to participate in focus group discussion; 30 returned voluntarily to participate in the discussions. Several themes were derived from children's narratives that described the barriers to and facilitators of drug cessation. Specifically, our findings reveal the strength of the addiction to inhalants, the dual role that peers and family play in substance use, and how the social, cultural, and economic context influence or impede cessation. Our findings demonstrate the need to integrate community, family and peers into any intervention in addition to traditional medical and psychological models for treatment of substance use dependence.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.305
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations54
Published2013
Admission routes1
Has abstractyes

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Same venuePLoS ONESame topicHomelessness and Social IssuesFrench-language works237,207