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Record W2993353895 · doi:10.1371/journal.pone.0225548

Assessing service and treatment needs and barriers of youth who use illicit and non-medical prescription drugs in Northern Ontario, Canada

2019· article· en· W2993353895 on OpenAlexafffundabout
Cayley Russell, Maria Neufeld, Pamela Sabioni, Thepikaa Varatharajan, Farihah Ali, Sarah Miles, Joanna Henderson, Benedikt Fischer, Jürgen Rehm

Bibliographic record

VenuePLoS ONE · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsPublic Health OntarioUniversity of TorontoSimon Fraser UniversityToronto General HospitalCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchSächsische Landesbibliothek – Staats- und Universitätsbibliothek Dresden
KeywordsMedical prescriptionFocus groupHarm reductionMedicineMental healthQualitative researchHarmParticipatory action researchIllicit drugFamily medicineEnvironmental healthNursingPublic healthPsychiatryPsychologyBusinessDrugSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Illicit drug use rates are high among Canadian youth, and are particularly pronounced in Northern Ontario. The availability and accessibility of effective substance use-related treatments and services are required to address this problem, especially among rural and remote Northern communities. In order to assess specific service and treatment needs, as well as barriers and deterrents to accessing and utilizing services and treatments for youth who use illicit drugs in Northern Ontario, we conducted the present study. METHODS: This study utilized a mixed-methods design and incorporated a community-based participatory research approach. Questionnaires were administered in conjunction with audio-recorded semi-structured interviews and/or focus groups with youth (aged 14-25) who live in Northern Ontario and use illicit drugs. Interviews with 'key informants' who work with the youth in each community were also conducted. Between August and December 2017, the research team traveled to Northern Ontario communities and carried out data collection procedures. RESULTS: A total of 102 youth and 35 key informants from eleven different Northern Ontario communities were interviewed. The most commonly used drugs were prescription opioids, cocaine and crack-cocaine. Most participants experienced problems related to their drug use, and reported 'fair' mental and physical health status. Qualitative analyses highlighted an overall lack of services; barriers to accessing treatment and services included lack of motivation, stigmatization, long wait-lists and transportation/mobility issues. Articulated needs revolved around the necessity of harm reduction-based services, low-threshold programs, specialized programming, and peer-based counselling. CONCLUSIONS: Although each community varied in terms of drug use behaviors and available services, an overall need for youth-specific, low-threshold services was identified. Information gathered from this study can be used to help inform rural and remote communities towards improving treatment and service system performance and provision.

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 score0.069
Threshold uncertainty score0.522

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 head0.039
GPT teacher head0.257
Teacher spread0.218 · 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

Citations45
Published2019
Admission routes3
Has abstractyes

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