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Record W4389568613 · doi:10.1080/08946566.2023.2283746

Practices countering resident-to-resident aggression and promoting wellness care for older adults in congregate residential facilities: results from a systematic review

2023· review· en· W4389568613 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Elder Abuse & Neglect · 2023
Typereview
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Sherbrooke
Fundersnot available
KeywordsCRFSBest practiceAggressionMedicineInclusion (mineral)GerontologyElder abuseGrey literatureSystematic reviewSuicide preventionHuman factors and ergonomicsPoison controlMEDLINENursingPsychologyEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.386
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it