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Record W4378713585 · doi:10.1590/0034-7167-2022-0278

Risk of violence and frailty syndrome among older adults treated at a hospital service

2023· article· en· W4378713585 on OpenAlexaboutno aff
Jefferson da Silva Soares, Ana Carolina dos Santos, Renata Clemente dos Santos, Gleicy Karine Nascimento de Araújo-Monteiro, Bárbara Maria Lopes da Silva Brandão, Rafaella Queiroga Souto

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsGerontologyMedicineService (business)Injury preventionHuman factors and ergonomicsSuicide preventionPoison controlMedical emergencyBusiness

Abstract

fetched live from OpenAlex

OBJECTIVES: to assess the association between risk of violence and frailty syndrome among hospitalized older adults. METHODS: quantitative, analytical and cross-sectional research, carried out with older adults in two university hospitals. Data collection was performed using the Brazil Old Age Schedule, Hwalek-Sengstock Elder Abuse Screening Test and Edmonton Frail Scale instruments. It was analyzed using descriptive statistics and inferential statistics. RESULTS: risk of violence was higher among women (68.9%), over 70 years old (64.7%), with more than 3 years of study (68.9%), without relationship (67.1%), who do not work (65.1%) and with income above 1 minimum wage (65.2%). There is a significant association between risk of violence and frailty (72.3%; p<0.001) and a positive correlation between the instrument scores (r=0.350; p-value<0.001). CONCLUSIONS: risk of violence was associated with being female and frailty. The study is expected to encourage further discussions related to the theme and nursing practice.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.292
Teacher spread0.272 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de EnfermagemSame topicElder Abuse and NeglectFrench-language works237,207