Australian older persons mental health inpatient and ambulatory services in 2015–2020 – A descriptive analysis and commentary
Bibliographic record
Abstract
OBJECTIVE: To provide a commentary on Australian state/territory older persons mental health service (OPMHS) expenditure, inpatient and outpatient services and key performance indicators (KPIs). METHOD: Descriptive analysis of data from the Australian Institute of Health and Welfare (AIHW), the Australian Bureau of Statistics and the World Health Organisation. RESULTS: Between 2015-16 and 2019-20, annual expenditure on OPMHS in Australia increased by an average of only 2.3%, compared to 2.9% for all population groups, despite an increase in the number of over 65 year olds. Per capita recurrent expenditure on OPMHS decreased by an average of 1% annually. Australia's total mental health beds increased, whereas OPMHS beds decreased, mainly due to a reduction in non-acute beds. Outcomes for OPMHS admissions were similar to other age groups, except for a longer length of stay and reduced readmission rate. Older Australians accessed ambulatory mental health care at a lower rate and had a lower rate of improvement after a completed episode. CONCLUSIONS: OPMHS expenditure has not increased at commensurate levels compared to other populations. The mental health of people aged over 65 appears to be a neglected policy priority in Australia. The Royal Commission into Aged Care Quality and Safety may herald service and expenditure changes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".