An Evaluation of Multisystemic Therapy with Australian Families
Bibliographic record
Abstract
This study aims to evaluate the effectiveness of the Multisystemic Therapy (MST) intervention for Australian families invloved with the Specialist Child and Adolescent Mental Health Service (CAMHS). This program was implemented within the Western Australian Department of Health in 2005, and has continually operated two small clinical teams within the Perth metropolitan area since then. This intervention was specifically chosen to improve service access, engagement, and intervention with vulnerable families having young persons with a history of significant and enduring behavioural problems. The study reports on data collected from July 2007 to July 2013 which includes baseline, post-treatment, 6-month, and 12-month follow-up. There were 153 MST families participating in the research at all time points (71% male; 11% Australian Aboriginal; average youth age was 13.6 years). Caregivers completed a set of questionnaires including Child Behaviour Checklist, Parenting Styles and Dimensions Questionnaire, and Depression, Anxiety and Stress Scale. One-way repeated measure ANOVA were used to measure changes over time. Significant caregiver-reported improvements in all measures were reported at post-treatment, and most improvements were maintained at the follow-up periods of 6 and 12 months post-intervention. These preliminary outcomes demonstrate that the 4-5 month MST intervention significantly reduces behavioural problems and emotional difficulties in young Australians and these improvements are generally maintained by caregivers over time. Primary caregivers reported improved skills and mental health functioning that were also maintained over the follow-up period. A proposed randomised controlled trial of the program will address potential placebo and selection bias effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".