The practical goals of inpatient forensic mental health services in Sweden – A qualitative comparative analysis of met and unmet rehabilitative needs in the transition to outpatient care
Bibliographic record
Abstract
Forensic mental health services (FMHS) seek to alleviate mental illness and reduce the risk of (violent) recidivism, but they may also be understood to be responsible for supporting patients with many other aspects of their often challenging lives. In practice, the task of an inpatient institution such as FMHS is concluded when the patient can transition to outpatient care, a move which is governed by law. Therefore, the practical goals are at least partly set by legal criteria for transition to outpatient care. Using qualitative comparative analysis, this study identifies systematic patterns of rehabilitative needs as assessed by clinicians that differentiate between FMHS patients who are deemed ready for outpatient care and those who are not. It also identifies how such systematic patterns align with legal criteria governing the transition to outpatient care. We find systematic patterns of rehabilitative needs that are associated with being considered ready for outpatient care and that these patterns map meaningfully onto the legislative criteria for forensic psychiatric care in Sweden. Mental health needs, violence risk needs, and needs associated with social functioning all bear on readiness for outpatient care but only in conjunction with one of the other. The results indicate that the transition to forensic outpatient care in Sweden depends on aspects outside the core objectives of non-recidivism and mental health, and rest on efforts by actors external to FMHS. This places high demands on clarity of institutional boundaries and the role of social functioning needs in decisions about compulsory care.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".