Cost-Effectiveness of Services for Mentally Ill Homeless People: The Application of Research to Policy and Practice
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
OBJECTIVE: About one-quarter of homeless Americans have serious mental illnesses. This review synthesizes research findings on the cost-effectiveness of services for this population and their relevance for policy and practice. METHOD: Service interventions for seriously mentally ill homeless people were grouped into three overlapping categories: 1) outreach, 2) case management, and 3) housing placement and transition to mainstream services. Data were reviewed both from experimental studies with high internal validity and from observational studies, which better reflect typical community practice. RESULTS: In most studies, specialized interventions are associated with significantly improved outcomes, most consistently in the housing domain, but also in mental health status and quality of life. These programs are also associated with increased use of many types of health service and housing assistance, resulting in increased costs in most cases. The value of these programs to the public thus depends on whether their greater effectiveness is deemed to be worth their additional cost. CONCLUSIONS: Innovative programs for seriously mentally ill homeless people are effective and are also likely to increase costs in many cases. Their value ultimately depends on the moral and political value society places on caring for its least-well-off members.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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