Being Equally Well: A national policy roadmap to better physical health care and longer lives for people living with serious mental illness
Bibliographic record
Abstract
A new report from 60 leading Australian health experts recommends major improvements to primary healthcare services in Australia to stop people with serious mental illnesses from dying between 14 and 23 years earlier than other Australians. Nearly 80% of people with serious mental illness die prematurely of chronic physical health conditions that could be effectively managed and often prevented. The Federal Health Minister Greg Hunt launched the Australian Health Policy Collaboration’s (AHPC) "Being Equally Well" roadmap report. Developed in partnership with GPs, psychiatrists, mental-health consumers and carers, and other health professionals, the roadmap lays out changes to how medical services can work, including: - implementing shared care between psychiatrists and GPs, and with pharmacists to manage mental and physical health together - mental health nurse navigators, to support people in navigating the complex health system - Medicare Benefits Scheme funding for GPs to set up dedicated supports to ensure regular health checks and screening as well as treatment of chronic conditions - ending gap payments for medication, including for cardiovascular diseases risk reduction medication and nicotine patches - establishing a federally funded national clinical quality registry to support and monitor improvements in life expectancy for people with serious mental illnesses and - establishing a national Office for Quality in Physical and Mental Healthcare Outcomes.
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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 | 0.028 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.011 | 0.019 |
| Open science | 0.005 | 0.026 |
| Research integrity | 0.030 | 0.031 |
| Insufficient payload (model declined to judge) | 0.035 | 0.010 |
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".