Fifteen per cent of people treated for mental health disorders are homeless
Bibliographic record
Abstract
Folsom DP, Hawthorne W, Lindamer L, et al . Prevalence and risk factors for homelessness and utilization of mental health services among 10,340 patients with serious mental illness in a large public mental health system. Am J Psychiatry 2005;162:370–6.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What is the prevalence of homelessness in people treated for mental health disorders? ### ![Graphic][5] Design: Cross sectional study. ### ![Graphic][6] Setting: Adult Mental Health Services database in San Diego County, USA, for the fiscal year 1999–2000. ### ![Graphic][7] Population: 10 340 adults with a diagnosis of schizophrenia, bipolar disorder, or major depression, who received treatment at least once during the year, and had data available for ethnicity, living situation, and Global Assessment of Functioning (GAF) score. People in jail or locked psychiatric facilities were excluded. ### ![Graphic][8] Assessment: People were … [1]: {openurl}?query=rft.jtitle%253DAmerican%2BJournal%2Bof%2BPsychiatry%26rft.stitle%253DAm.%2BJ.%2BPsychiatry%26rft.aulast%253DFolsom%26rft.auinit1%253DD.%2BP.%26rft.volume%253D162%26rft.issue%253D2%26rft.spage%253D370%26rft.epage%253D376%26rft.atitle%253DPrevalence%2Band%2BRisk%2BFactors%2Bfor%2BHomelessness%2Band%2BUtilization%2Bof%2BMental%2BHealth%2BServices%2BAmong%2B10%252C340%2BPatients%2BWith%2BSerious%2BMental%2BIllness%2Bin%2Ba%2BLarge%2BPublic%2BMental%2BHealth%2BSystem%26rft_id%253Dinfo%253Adoi%252F10.1176%252Fappi.ajp.162.2.370%26rft_id%253Dinfo%253Apmid%252F15677603%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1176/appi.ajp.162.2.370&link_type=DOI [3]: /lookup/external-ref?access_num=15677603&link_type=MED&atom=%2Febmental%2F8%2F4%2F118.atom [4]: /lookup/external-ref?access_num=000227210800024&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".