Reducing psychiatric discharges to homelessness
Bibliographic record
Abstract
In London, Ontario, discharges from psychiatric wards to shelters or NFA occurred 194 times per year. This discovery led to the creation of a pilot project that provided immediate access to a housing advocate and changed normal policies related to housing and start-up fees for a select group of income support recipients. The intervention was successful; seven participants who received this additional assistance were still housed six months later, whereas 6 of 7 who received usual care were still homeless. The goal of the current study was to determine the strengths and areas for improvement of a method to prevent discharge from hospital to NFA and suggest improvements in preparation for wider implementation. Phase 2: intervention to all acute psychiatric patients within a general hospital. Phase 3: intervention to all patients within a specialized tertiary care psychiatric hospital. Intervention included on-ward access to a housing advocate and income support staff which was facilitated through computer linkages to housing and income databases. Findings revealed the success of the intervention across both acute and tertiary sites. All hypotheses were supported: the rate of discharge to homelessness decreased; those accessing the service were poor; and the cost savings from the program exceeded the cost of implementation. Advantages of the approach included: accessibility and convenience of services on site, positive influence on overall treatment plan and feelings of independence and support. Results reveal the positive influence a cross-sectoral approach has on preventing discharge from psychiatric wards to the streets and shelters.
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.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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; both teacher heads agree on what is shown here.
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".