Youth Perspectives on Integrated Youth Services: A Discrete Choice Conjoint Experiment
Bibliographic record
Abstract
OBJECTIVE: Integrated youth services (IYS) are an emerging model of care offering a broad range of mental health and social services for youth in one location. This study aimed to determine the IYS service characteristics most important to youth, as well as to determine whether different classes of youth have different service preferences, and if so, what defines these classes. METHODS: Ontario youth aged 14-29 years with mental health challenges were recruited to participate in a discrete choice experiment (DCE) survey. The DCE contained 12 attributes, each represented by 4 levels representing core characteristics of IYS models. To supplement the DCE questions, demographic information was collected and a mental health screener was administered. Preferences were examined, latent class analyses were conducted, and latent classes were compared. RESULTS: As a whole, participants endorsed the IYS model of service delivery. Among 274 youth, there were three latent classes: 1) the Focused Service (37.6%) latent class prioritized efficient delivery of mental health services. 2) The Holistic Services (30.3%) latent class prioritized a diverse array of mental health and social services delivered in a timely fashion. 3) The Responsive Services (32.1%) latent class prioritized services that matched the individual needs of the youth being served. Differences between classes were observed based on sociodemographic and clinical variables. CONCLUSIONS: IYS is an acceptable model of care, in that it prioritizes components that reflect youth preferences. The differences in preference profiles of different groups of youth point to the need for flexible models of service delivery. Service design initiatives should take these preferences into account, designing services that meet the needs and preferences of a broad range of youth. Working locally to co-design services with the youth in the target population who wish to be engaged will help meet the needs of youth.
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".