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Record W2112427922 · doi:10.1186/s12913-015-1060-4

Program manager perspectives on the service system to meet the needs of youth with concurrent disorders: findings from a Canadian national survey

2015· article· en· W2112427922 on OpenAlexafffundabout
Joanna Henderson, Gloria Chaim, Stephanie Luca, E. B. Brownlie, Susan E. Rosenkranz, Tracey A. Skilling, Joseph H. Beitchman

Bibliographic record

VenueBMC Health Services Research · 2015
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchHealth CanadaNational Mental Health Commission
KeywordsMental healthOutreachStakeholderMedicineService providerService (business)NursingPsychiatryMedical educationPublic relationsBusinessPolitical scienceMarketing

Abstract

fetched live from OpenAlex

BACKGROUND: Concurrent mental health and substance use issues are a serious problem for adolescents and transition-aged youth. Service providers across sectors must be involved in informing system change to meet youth needs. This study examines stakeholder perspectives on services for youth with concurrent disorders including 1) clinical issues in youth services; 2) priority system issues; and 3) optimal knowledge translation strategies to enhance researcher-stakeholder communication. METHODS: A database of youth clinical services across Canada was developed. Program managers (n = 481) at cross-sectoral (mental health, addictions, justice, child welfare, advocacy, and outreach) youth-serving (aged 12-24) programs were invited to complete an online survey; 232 responded. Survey questions concerned youth needs, program characteristics, priorities for service system enhancement; and usual and preferred knowledge translation methods. RESULTS: Across service sectors, the mean estimated proportion of youth using services with concurrent mental health and substance use problems was 55%. Program managers reported routine screening for mental health and substance use concerns (66%), referring to other agencies to meet the concurrent disorder needs of youth (54%), offering specific programming for concurrent disorders (42%), and program evaluation (48%). Notably, mental health programs were significantly less likely to offer concurrent disorders services than addictions programs. Where services do exist, most are targeted at youth aged 12-18 years, with fewer services available for transition-aged youth. Endorsement of various system change goals exceeded 80%, with a particular emphasis on improving access to services (49%), ensuring a continuum of services for varying levels of severity (37%), and improved integration across sectors (36%). Preferred knowledge exchange methods were workshops and websites for receiving information; and focus groups or surveys, rather than intensive participation on research teams, to inform research. CONCLUSIONS: There is a high need to build capacity across most sectors for meeting the needs of youth with co-occurring mental health and substance use problems, especially for transition-aged youth. In addition, limits in program evaluation should be addressed. Innovative knowledge exchange strategies are needed to better meet the needs of youth with concurrent disorders. Although service providers expressed readiness to participate in service enhancement and knowledge translation activities, effective, feasible approaches must integrate strategies likely to result in desired clinical outcomes, given clinical workload challenges.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.050
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.006
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.119
GPT teacher head0.408
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2015
Admission routes3
Has abstractyes

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