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Record W4206911422 · doi:10.21203/rs.3.rs-1239811/v1

Exploring How to Enhance Care and Pathways Between the Emergency Department and Integrated Youth Services for Young People With Mental Health and Substance Use Concerns.

2022· preprint· en· W4206911422 on OpenAlexafffundabout
Krista Glowacki, Madelyn Whyte, Jade Weinstein, Kirsten Marchand, David Barbic, Frank Scheuermeyer, Steve Mathias, Skye Barbic

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsProvidence Health Care Research InstituteProvidence Health CareUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsMental healthSnowball samplingThematic analysisEmergency departmentReferralPsychologyInterpersonal communicationPhoneNursingMedicinePsychiatryQualitative researchSociologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Background: Integrated youth services (IYS) provide multidisciplinary care (including mental, physical, and social) prioritizing the needs of young people and their families. Despite a significant rise in emergency department (ED) visits by young Canadians with mental health and substance use (MHSU) concerns over the last decade, there remains a profound disconnect between EDs and MHSU integrated youth services. The first objective of this study was to better understand the assessment, treatment, and referral of young people (ages 12-24 years) presenting to the ED with MHSU concerns. The second objective was to explore how to improve the transition from the ED to IYS for young people with MHSU concerns. Methods: We conducted semi-structured one-on-one video and phone interviews with stakeholders in British Columbia, Canada in the summer of 2020. Snowball sampling was utilized, and participants (n=26) were reached, including ED physicians (n=6), social workers (n=4), nurses (n=2), an occupational therapist (n=1); a counselor (n=1); staff/leadership in IYS organizations (n=4); mental health/family workers (n=3); peer support workers (n=2), and parents (n=3). A thematic analysis (TA) was conducted using a deductive and inductive approach conceptually guided by the Social Ecological Model.Results: We identified three overarching themes, and factors to consider at all levels of the Social Ecological Model. At the interpersonal level inadequate communication between ED staff and young people affected overall care and contributed to negative experiences. At the organizational level, we identified considerations for assessments and the ED and the hospital (wait times, staffing issues, and the physical space). At the community level, the environment of IYS and other community services were important including wait times and hours of operation. Policy level factors identified include inadequate communication between services (e.g., different charting systems and documentation). Conclusions: This study provides insight into important long-term systemic issues and more immediate factors that need to be addressed to improve the delivery of care for young people with MHSU challenges. This research supports intervention development and implementation in the ED for young people with MHSU concerns.

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)0.012
metaresearch head score (Gemma)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0140.005
Scholarly communication0.0060.005
Open science0.0020.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.330
GPT teacher head0.484
Teacher spread0.153 · 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

Citations3
Published2022
Admission routes3
Has abstractyes

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