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Record W2147248213 · doi:10.12927/hcpol.2014.23940

Media Coverage of Youth Suicides and Its Impact on Paediatric Mental Health Emergency Department Presentations

2014· article· en· W2147248213 on OpenAlexaffvenue
Stephanie L. Leon, Paula Cloutier, Marc‐André Bélair, Mario Cappelli

Bibliographic record

VenueHealthcare policy · 2014
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsEmergency departmentMedicineComplaintMental healthSuicide preventionOccupational safety and healthInjury preventionPsychiatryPoison controlMedical emergencyEmergency medicinePediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: To examine mental health (MH) presentations to the emergency department (ED) of a paediatric hospital following two highly publicized local teen suicides. METHODS: Youths aged 12-18 years with a MH chief complaint and/or diagnosis were included. Differences in frequencies were analyzed using chi-square tests, and relative risks were evaluated using generalized linear modelling. RESULTS: Significant increases in the number of ED presentations were found within the months of the publicized suicides compared to the same months of previous years. No differences were found in symptom acuity, suicidal status and psychiatric hospitalization rates. Significant increases were found in relative risk of presenting to the ED 28 and 90 days post both publicized suicides. CONCLUSIONS: RESULTS suggest there was an association between highly publicized suicides and an increase in the number of MH presentations to the local paediatric ED. Considerations of media's potentially positive role in MH awareness are needed.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.174
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.416
Teacher spread0.361 · 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 teacher head, 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
Published2014
Admission routes2
Has abstractyes

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