“We need to build a better bridge”: findings from a multi-site qualitative analysis of opportunities for improving opioid treatment services for youth
Bibliographic record
Abstract
BACKGROUND: Adolescence and young adulthood is an important period for substance use initiation and related harms. In the context of the ongoing opioid crisis, the risks for youth (ages 16-29) who use opioids are particularly heightened. Despite recommendations to adopt a developmentally appropriate and comprehensive approach to reduce opioid-related harms among youth, data continue to show that youth are not adequately engaged in opioid treatments and encounter many barriers. The aim of this study is to identify youth-centered opportunities for improving opioid treatment services. METHODS: This paper reports multi-site qualitative findings from youth participating in the 'Improving Treatment Together' project, a community-based participatory project being conducted in British Columbia and Alberta, two western Canadian provinces that have been dramatically impacted by the opioid crisis. Qualitative data were collected during three workshops with youth who used opioids and accessed opioid treatment services in the prior 12 months. These workshops were conducted in three communities following the core elements of human-centered co-design. A multi-site qualitative analysis was conducted to identify within- and between-site themes surrounding youths' needs for improving opioid treatment service experiences and outcomes. RESULTS: Three overarching needs themes were identified from across the communities. The first reflected youths' difficulties finding and staying connected to opioid treatment services, with the overarching need theme suggesting opportunities to reduce organizational and systems-related barriers to care, such as waiting times and wider information about service availability. The second area of need was rooted in youths' feelings of judgment when accessing services. Consequently, opportunities to increase respectful and empathic interactions were the overarching need. The final theme was more nuanced across communities and reflected opportunities for an individualized approach to opioid treatment services that consider youths' unique basic safety, social, and health needs. CONCLUSIONS: This study identifies fundamental directions for the operationalization and implementation of youth-centered opioid treatment services. These directions are contextualized in youths' lived experiences accessing services in their local communities, with overarching themes from across sites strengthening their transferability to other settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".