II. Cost-Effectiveness Analysis of Psychiatric Deinstitutionalization
Bibliographic record
Abstract
BACKGROUND: The cost-effectiveness of the eventual deinstitutionalization of patients with severe and persistent mental disorders who are currently hospitalized in long-term care remains a controversial matter. METHODS: A retrospective cohort of 96 pairs of psychiatric hospital patients with 1 member deinstitutionalized between 1989 and 1998 was followed up for nearly 10 years. All use of medical and social services was documented. Patients were evaluated at the start and end of the study on various clinical and social dimensions, as well as on quality of life. RESULTS: On several dimensions, deinstitutionalized patients scored more positively than did those patients still hospitalized. The lower daily cost of living accommodations for deinstitutionalized patients easily offsets the cost of services required for treatment in the community. CONCLUSION: Deinstitutionalization, as implemented in the hospital studied, remains for many patients a less costly option than continued hospitalization and is likely to improve their mental state and well-being.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".