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Record W3193711292 · doi:10.1080/0886571x.2021.1964415

Assessing Needs and Outcomes of Children and Youth Receiving Intensive Services

2021· article· en· W3193711292 on OpenAlexaffabout
Laura Theall, Kim Arbeau, Keith A. Willoughby, Jeff St. Pierre, Gwynne Ng, Shannon L. Stewart

Bibliographic record

VenueResidential Treatment for Children & Youth · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern University
Fundersnot available
KeywordsMental healthDisengagement theoryAnxietyPsychologyDistractionClinical psychologyPsychiatryMedicineGerontology

Abstract

fetched live from OpenAlex

This study investigated whether children/youth in Ontario triaged to residential services showed a higher intensity of need than those referred to outpatient services, and whether residential treatment gains were sufficient for transition to community services. Participants included 2053 children/youth assessed at 23 diverse mental health agencies across Ontario using the interRAI™ Child and Youth Mental Health (ChYMH) instrument. Various presenting problems were examined utilizing scales including: Disruptive/Aggressive Behavior, Hyperactive/Distraction, Social Disengagement, Anxiety, and Sleep Difficulties. Analyses were conducted separately for boys and girls.Notable differences were found in the initial assessment, with residential boys scoring higher on all scales than outpatient boys, and residential girls scoring higher on the externalizing scales (Disruptive/Aggressive Behavior, Hyperactive/Distraction) than outpatient girls. Treatment gains at residential discharge included improvements in Anxiety, Social Disengagement, Hyperactive/Distraction and Sleep Difficulties for boys and girls to levels at or below the initial scores of outpatient peers. Disruptive/Aggressive Behavior is still a high need following residential services.The results highlight differences in severity of mental health presentation between children/youth receiving residential and outpatient services, and how multiple agencies in Ontario are providing services that successfully reduce the severity of mental health needs.

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 score0.022
Threshold uncertainty score0.968

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 head0.026
GPT teacher head0.303
Teacher spread0.276 · 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

Citations6
Published2021
Admission routes2
Has abstractyes

Explore more

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