Assessing service and treatment needs of young people who use illicit and non-medical prescription drugs living in Northern Ontario, Canada
Bibliographic record
Abstract
<ns4:p> <ns4:bold>Background:</ns4:bold> The use of illicit and prescription drugs for non-medical purposes among youth and young adults living in Northern Ontario communities is a major public health concern. This problem is amplified in that there is insufficient knowledge on the types of services and treatment centers available for and utilized by young people with substance use issues in Northern Ontario. This needs assessment study aims to examine the service and treatment needs of youth and young adults who use drugs in Northern Ontario communities. </ns4:p> <ns4:p> <ns4:bold>Methods/Design:</ns4:bold> A mixed-methods study design will be used to assess the service and treatment needs of youth and young adults (aged 14-25) who have used one or more illicit drug (excluding cannabis) and/or psychoactive prescription drug for non-medical purposes for at least 3 months and on at least 10 days in the last month. Participants will be recruited from approximately ten Northern, remote and rural communities across Northern Ontario using a mobile research lab. Eligible study candidates from each community will be asked to partake in a focus group and questionnaire exploring service and treatment utilization and needs. We will additionally collect basic socio-demographic information as well as examine patterns of problematic drug use. Interviews with service providers and community organizers will also be conducted in each community. </ns4:p> <ns4:p> <ns4:bold>Discussion</ns4:bold> : Findings from our study will highlight the availability, accessibility and utilization of existing services; identify the gaps and barriers in current service provision; and provide insight into the service and treatment needs of youth and young adults who use drugs in Northern Ontario communities. Assessing the needs of young people who use drugs will allow service providers, community organizers and health policymakers to improve addiction-related services and treatment centers in Northern Ontario. </ns4:p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".