IMPLICATIONS OF RESIDENT AND ENVIRONMENTAL CHARACTERISTICS ON RESIDENT-TO-RESIDENT AGGRESSION
Bibliographic record
Abstract
Abstract This study examines factors associated with resident-to-resident aggression (RRA) in long term care facilities in Hong Kong. A total of 800 personal care worker participated. Participants averaged 42.03 years of age (SD=7.63), were mostly female (92.7%), married (79.1%) and reported an average of 6.28 years of experience in long term care. 96.9 percent of the participants provided care to residents with dementia but 58.9% considered the training they received insufficient. RRA was common: All participants reported having witnessed verbal aggression (100%), 18% disruptive behaviors, 11.8% physical violence, and 3.1% sexual aggression. The following analysis used a subset of 412 participant from 29 long term care facilities where environmental assessments were conducted. General linear model analysis showed that RRA was associated with both resident and environmental characteristics. Victims’ neuropsychiatry symptoms, perpetrator male gender and neuropsychiatric symptoms were associated with higher RRA. Separation of residents with and without dementia, inappropriate use of nursing unit for residents as measured by Therapeutic Environment Screening Survey for Nursing Homes (TESS-NH), lack of functional and attractiveness courtyard, less cleanliness of spaces, insufficient lighting and insufficient orientation / cueing as measured by Professional Environmental Assessment Procedure (PEAP) were also associated with higher RRA. There is an urgent need to prevent and intervene RRA in long term care facilities. Improving management of neuropsychiatric symptoms and creating a supportive and accommodating environment could be helpful in this regard.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".