Clinicians’ perceptions of the implementation of the Structured Assessment of Protective Factors for violence risk (SAPROF) on an inpatient forensic unit
Bibliographic record
Abstract
The Structured Assessment of PROtective Factors for Violence Risk (SAPROF) is an assessment tool that examines protective factors when assessing for violence risk. There is limited research on clinicians’ perceptions of the use and implementation of risk assessment tools, and this study aimed to examine the experiences of clinicians using the SAPROF in a low secure forensic rehabilitation inpatient unit in Canada. An exploratory research design was used, and five clinicians participated in semi-structured interviews. Data was analyzed using a thematic approach and three central themes were identified: understanding of the patient from a strengths-based point of view, providing clinicians with a focus on how to help the patient, and bringing in opportunities to collaborate as a team. The findings highlight the additional value of the SAPROF as tool in helping forensic teams to adopt strengths based approaches to risk assessment, enhancing treatment planning and inter-professional collaboration. Keywords: strengths, risk assessment, SAPROF, consensus scoring, recovery
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".