Experiencing violence in a psychiatric setting: Generalized hypervigilance and the influence of caring in the fear experienced
Bibliographic record
Abstract
BACKGROUND: Exposure to violence in the mental health sector both affects employees and has implications for the quality of care provided. OBJECTIVE: This phenomenological study aims to describe and understand the ways in which acts of aggression from a patient might affect workers in a psychiatric institute, their relationships with the patients and the services offered. METHODS: Two semi-structured interviews were conducted with each of the 15 participants from various professions within a psychiatric hospital. RESULTS: Our analysis reveals four themes: hypervigilance, caring, specific fear toward the aggressor and generalized fear of all patients. A state of hypervigilance is found among all participants. An emphasis on caring is present among the majority and unfolds as a continuum, ranging from being highly caring to showing little or no caring. A feeling of fear is expressed and is influenced by the participant's place on the caring continuum. Caring workers developed a specific fear of their aggressor, whereas those showing little or no caring developed a generalized fear of all patients. Following a violent event, caring participants maintained this outlook, whereas those demonstrating little to no caring were more inclined to disinvest from all patients. CONCLUSIONS: Hypervigilance and fear caused by experiences of violence impact the quality of care provided. Considerable interest should thus be paid to caring, which can influence fear and its effects.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".