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Record W3213893125 · doi:10.3390/adolescents1040036

Opinions on Youth Suicide Risk Screening from Individuals with Neurodevelopmental Disabilities and Their Therapists: A Pilot Study

2021· article· en· W3213893125 on OpenAlexaff
Annabelle M. Mournet, Rachel Greenbaum, Audrey Thurm, Laura Weinheimer, Nathan J. Lowry, Jeffrey A. Bridge, Maryland Pao, Lisa M. Horowitz

Bibliographic record

VenueAdolescents · 2021
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsSurrey Place Centre
FundersNational Institute of Mental Health
KeywordsMedicinePopulationSuicide RiskSuicide preventionPsychiatryMental healthQualitative researchClinical psychologyPsychologyPoison controlMedical emergencyEnvironmental health

Abstract

fetched live from OpenAlex

Background: Individuals with neurodevelopmental disorders (NDD) are at increased risk for suicide, yet little work has been done to address the specific needs for this population. Specifically, there are no validated suicide risk screening instruments and processes for individuals with NDD; this study aimed to assess the opinions of individuals with NDD and their therapists on suicide risk screening in order to inform best practices for screening. Method: A pilot study was launched to qualitatively evaluate processes and instruments that may be used in future studies on suicide screening risk in NDDs. Participants and their therapists were surveyed after filling out suicide risk screening instruments and provided qualitative feedback on their opinions of screening for suicide risk. Results: Most participants (9/15) reported positive experiences of being screened for suicide risk. Additionally, almost all therapists (14/15) were in support of suicide risk screening. Several themes, such as interpersonal benefits, emerged as reasons for supporting screening. Conclusions: The findings from this pilot study provide initial qualitative evidence that many individuals with NDD and their therapists would be comfortable with and are in support of suicide risk screening for this population. Screening tools to guide clinicians on how to ask about suicide risk are needed and appear to be desired by clinicians on the frontlines of mental health treatment for people with NDD.

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 score0.120
Threshold uncertainty score0.878

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 head0.070
GPT teacher head0.305
Teacher spread0.235 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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