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Record W4362691914 · doi:10.1177/10398562231165845

Child and Adolescent Mental Health Services in Australia: A descriptive analysis between 2015–16 and 2019–20

2023· article· en· W4362691914 on OpenAlex
Matthew Brazel, Stephen Allison, Tarun Bastiampillai, Steve Kisely, Jeffrey CL Looi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralasian Psychiatry · 2023
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineMental healthMental health servicePer capitaWelfarePopulationAmbulatoryDepression (economics)Population healthPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide analysis and commentary on Australian state/territory child and adolescent mental health service (CAMHS) expenditure, inpatient and ambulatory structure and key performance indicators. METHOD: Data from the Australian Institute of Health and Welfare and the Australian Bureau of Statistics were descriptively analysed. RESULTS: Between 2015-16 and 2019-20, overall CAMHS expenditure increased by an average annual rate of 3.6%. Per capita expenditure increased at a higher rate than for other subspeciality services. CAMHS admissions had a higher cost per patient day, shorter length of stay, higher readmission rate and lower rates of significant improvement. Adolescents aged 12-17 had high community CAMHS utilisation, based on proportion of population coverage and number of service contacts. CAMHS outpatient outcomes were similar to other age-groups. There were high rates of 'Mental disorder not otherwise specified', depression and adjustment/stress-related disorders as principal diagnoses in community CAMHS episodes. CONCLUSIONS: CAMHS inpatient admissions had lower rates of significant improvement and higher 14-day readmission rates than other ages. Australia's young population had a high outpatient CAMHS contact rate. Evidence-based modelling of CAMHS providers and outcomes may inform future service improvement.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.019
GPT teacher head0.313
Teacher spread0.293 · 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