Understanding Mental Health Service User Experiences of Restraint through Debriefing: A Qualitative Analysis
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: To examine debriefing data to understand experiences before, during, and after a restraint (seclusion, chemical, and physical) event from the perspective of inpatients at a large urban mental health and addiction hospital. METHOD: Audits were conducted on a purposeful sample of inpatient charts containing post-restraint event inpatient debrief forms (n = 55). Qualitative data from the forms were analyzed thematically. RESULTS: Loss of autonomy and related anger, conflict with staff and other inpatients, and unmet needs were the most common factors precipitating restraint events. Inpatients often reported that increased communication with staff could have prevented restraint. Inpatients described having had various negative emotional states and responses during restraint events, including fear and rejection. Post-restraint, inpatients often desired to leave the unit for fresh air or to engage in leisure activities. CONCLUSIONS: To our knowledge, our study is the first to use debriefing form data to explore mental health inpatients' experiences of restraint. Inpatients view restraint negatively and do not experience it as a therapeutic intervention. Debriefing, guided by a form, is useful for understanding the inpatient's experience of restraint, and should be used to re-establish the therapeutic relationship and to inform plans of care. In addition, individual and collective inpatient perspectives should inform alternatives to restraint.
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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 | 0.003 | 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 | 0.000 | 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 it