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Record W7120692753

Intra-hospital immobility as adverse outcome in hospitalized senior health

2021· dissertation· pt· W7120692753 on OpenAlexaboutno aff
Daniela Alves Da Cás

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2021
Typedissertation
Languagept
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsConfusionLogistic regressionDescriptive statisticsEmergency departmentMultivariate analysisProspective cohort studyDescriptive researchScale (ratio)University hospital
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The senior immobility constitutes one of the greatest geriatric syndromes, being responsible for causing adverse outcomes in seniors’ health. Among the outcomes, it is observed that it generates longer hospitalization time, hospitalizations and death. Among the environments with more concern regarding the immobility, it is the hospital environment, which due to its own characteristics as bed dispositions, less mobility, acquired comorbidities, and underlying diseases, increase the frequency of this syndrome. Objective: Evaluate the predictors of intrahospital immobility in seniors. Methods: It is a quantitative study, longitudinal, and descriptive constituted by a prospective cohort. This study is derived from a portion of the project named “Development of a hospitalized senior health care in HUSM” under CAAE “48212915.50000.5346”. The data collection occurred between the months of September 2015 and July 2016, at the Santa Maria’s University Hospital/RS (HUSM). It was included seniors that entered hospital emergency by varying causes and that accepted to participate the study. It was excluded the individuals who were not capable to answer the survey (by cognitive or communication deficit), or by not having a companion at the survey time to provide the necessary data. It was used as descriptive variables: age, sex, admission pathology, period of hospitalization, and complications (pneumonia, fallings, urinary tract infection, deep vein thrombosis, delirium, and urinary incontinence), and as variable of study the intra-hospital immobility, the Identification of Seniors At Risk, Confusion Assessment Method, Edmonton Frail Scale , and calf circumference measurement. The descriptive analysis was performed (frequency, mean and median), chi-squared test, Backward Wald multivariate logistic regression, and Kaplan-Meier survival curve, significant values were considered when p≤ 0,05 (SPSS 21.0). Results: Among the 397 evaluated individuals, it was observed a predominance in early seniors between 60 and 69 (39.7%), male (53.7%). It was observed that the age (p=0.007), fragility indicators (p=0.007), and delirium (p=0.001) during the hospitalization increased the seniors’ chance to have intra-hospital immobility. Conclusion: These data suggest that the intra-hospital immobility is associated with the age, admissions’ pathology, CC values, frail scores, senior risk index, and comorbidity presence and the predictive variables to immobility were the age, frail, and admission delirium indication. In conclusion, it is suggested to consider these in the implementation of prevent measures as for senior’s intra-hospital immobility.

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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