Practices countering resident-to-resident aggression and promoting wellness care for older adults in congregate residential facilities: results from a systematic review
Bibliographic record
Abstract
Resident-to-resident aggression (RRA) is an important issue in congregate residential facilities (CRFs) for older adults and has devastating effects. This study aimed to provide an inventory and content analysis of the practices used to counter RRA and promote wellness care for older adults in CRFs. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, original, peer-reviewed research and systematic reviews published in 14 electronic databases and two gray literature sources were examined. Of the 6196 articles identified, 28 met the inclusion criteria. Practices aimed to prevent, track or intervene in RRA, mostly in long-term care centers, but few were evidence-based and ready for widespread implementation. It emerges that continuous training of staff is necessary and that it should prioritize a person-centered approach. CRFs' managers must promote a culture of wellness care and policymakers should consider the prevention practices to improve the quality of life of older adults in CRFs.
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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 | 0.009 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".