Perceived humiliation during admission to a psychiatric emergency service and its relation to socio-demography and psychopathology
Bibliographic record
Abstract
BACKGROUND: There is a lack of empirical studies of patients' level of humiliation during the hospital admission process and its implications for the clinical setting. We wanted to explore associations between self-rated humiliation and socio-demography and psychopathology in relation to admission to a psychiatric emergency unit. METHODS: Consecutively admitted patients (N = 186) were interviewed with several validated instruments. The patients self-rated humiliation by The Cantril Ladder, and 35% of the sample was defined as the high humiliation group. RESULTS: Final multivariate analysis found significant associations between compulsory admission, not being in paid work, high scores on hostility, and on entitlement, and high levels of humiliation. No significant interactions were observed between these variables, and the narcissism score was not a confounder concerning humiliation. CONCLUSIONS: High level of humiliation during the admission process was mainly related to patient factors, but also to compulsory admission which should be avoided as much as possible protecting the self-esteem of the patients.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".