What is known about pathways to mental health care for Australian Aboriginal young people?: a narrative review
Bibliographic record
Abstract
OBJECTIVES: To (1) gain an understanding of current trajectories of Aboriginal young people through the mental health care system in Australia; (2) summarize what mental health care pathways have been developed or evaluated to guide mental health care delivery for Aboriginal young people; and (3) identify barriers and facilitators to the adoption of effective mental health care pathways for Aboriginal young people. METHODS: Databases, including, AMED, Embase, Global Health, Health and Psychosocial Instruments, Healthstar, MEDLINE, PsychINFO via Ovid, CINAHL via EBSCO, The Cochrane Library, Indigenous Collections, Informit and Health Systems Evidence, were searched to identify evidence concerning mental health service delivery for Aboriginal young people in a primary care setting. RESULTS: We did not identify any reports or publications explicitly describing the current trajectories of Aboriginal young people through the mental health care system in Australia. Furthermore, we were unable to locate any mental health-related treatment pathways which had been explicitly developed or modified to meet the needs of Aboriginal young people. The use of appropriate assessment tools, engagement of family and community, flexibility, and central coordination have been identified in the literature as potential facilitators of culturally appropriate mental health service delivery for Aboriginal children and adolescents. CONCLUSIONS: Aboriginal children and adolescents may face additional difficulties navigating the mental health care system in Australia due to complex socio-cultural factors and the dearth of culturally appropriate and effective mental-health related treatment pathways. Additional research regarding (1) practice trends in Aboriginal settings and (2) how Aboriginal child and adolescent mental health can be improved is urgently needed to inform clinical practice and improve mental health service access and outcomes for Aboriginal young people in Australia.
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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 | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".