Why mental health service delivery needs to align alongside mainstream medical services
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.
Bibliographic record
Abstract
There is significant individual human suffering and economic burden because of untreated mental health and substance use disorders. There is high psychiatric morbidity in primary and secondary medical care. At least one-fifth of patients attending primary care services in western countries pertain to mental health and one-third of patients attending general hospitals have a comorbid mental disorder. Patients with mental disorders have lower life expectancy than the general population due to various medical conditions and reduced access to physical healthcare. There is a suicide every 40 seconds and the vast majority of those who die by suicide have a diagnosable mental disorder. Despite this, most countries spend less than 2% of their health budgets on mental health. Effective treatments exist for mental disorders, however underfunding, poor integration of services, lack of trained health care professionals and stigma often prevent access to effective treatments. Stigma is a significant barrier to seeking help and receiving treatment. Geographical separation of mental health services from general hospital settings may be perpetuating the stigma of mental illness among the population. In this article, we review the key reasons why mental health services globally need to align with mainstream healthcare services and the longstanding reasons that necessitate the need to make mental health a public health priority.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 it