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Record W7120612778

Violence and fragility in the elderly attended at a prompt care unit

2017· dissertation· pt· W7120612778 on OpenAlexaboutno aff
Renata Gonçalves Martello dos [UNIFESP] Santos

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2017
Typedissertation
Languagept
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsVulnerability (computing)Informed consentExploratory researchPopulationResearch ethicsElderly peopleSample (material)Data collectionOccupational safety and health
DOInot available

Abstract

fetched live from OpenAlex

Violence against the elderly is considered a multifaceted and constantly muted phenomenon. It is understood that elderly in vulnerability and fragile are more predisposed to become victims of violence, however, there are still few researches that seek to evidence the existence of this correlation. The purpose of this study is to evaluate the correlation between the risk of violence and the frailty in the elderly attended at a Care Unit. This is a cross-sectional, descriptive and exploratory study with a quantitative approach. It was developed in the city of Campina Grande, in a Emergency Care Unit, after approval of the Ethics and Research Committee of the Federal University of Rio Grande do Norte under CAAE No. 69857317.2.0000.5537. The population was composed of all the elderly attending the Unit, in the months of August and September 2017. The sample of 146 elderly individuals was calculated according to the calculation of finite population with a sampling error of 0.08. We included people aged 60 or over, who were in care and with physical and emotional conditions to respond to the instruments. The following were used: the sample characterization tool and the Edmonton Scales and the screening of violence against the elderly. The data collection took place after the consent of the institution, and followed the norms set forth in resolution no. 466/12 of the National Health Council and by signing the Term of Free and Informed Consent. Data were analyzed through SPSS, version 20.0 through non-parametric tests. The results indicated the predominance of married and widowed elderly people, with low education (56.16%), male, up to 73 years old (53.42%), living in the city of Campina Grande (78.08%) and (64.38%) attended at the Emergency Care Unit classified in the green area of risk, being the most acute complaint, with (82.19%). Most of the elderly were classified as fragile (47.95%) and at increased risk for violence (69.86%). Through the chi-square test (X2) and fisher's exact test, and the significance level for p-value <0.05, we observed a statistical relationship between the level of fragility and age, and the area of classification of care, while the risk of violence presented statistical significance for the age group. After the Spearman correlation test, with a significance level of 5%, the study showed evidence of a statistically significant correlation between the increased degree of frailty and the risk for violence in the elderly. The hypothesis of the study confirms that the fragility syndrome increases the vulnerability of the elderly being at risk of violence. In addition, it demonstrates the importance of the use of health professionals in the practice of instruments that evaluate these diseases for the purpose of early detection and to reduce their impact on the family, care services and the elderly.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.298
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes1
Has abstractyes

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