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Record W2476211998 · doi:10.1590/0034-7167.2016690411i

Association of frailty in hospitalized and institutionalized elderly in the community-dwelling

2016· article· en· W2476211998 on OpenAlexaboutno aff
Suzele Cristina Coelho Fabrício-Wehbe, Rosalina Aparecida Partezani Rodrigues, Vanderlei José Haas, Jack Roberto Silva Fhon, Marina Aleixo Diniz

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2016
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionalisationGerontologySocioeconomic statusMedicineActivities of daily livingAssociation (psychology)PsychologyPopulationPhysical therapyEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: to investigate the association between frailty with hospitalization and institutionalization in a follow-up study of elderly residents. METHOD: the follow-up study was performed in 2008 and 2013 with elderly of both genders, aged 65 years and older who were living in the community-dwelling. The sampling procedure performed was probabilistic, with dual-stage clustering. In 2008, 515 elderly people were interviewed and, in 2013, 262. We used the socioeconomic and demographic data, self-reported morbidity, specific data of hospitalization and institutionalization. Frailty was measured by the Edmonton Frail Scale (EFS), and functional capacity through the Functional Independence Measure. RESULTS: we found the mean gross EFS score was higher among resident elderly who were hospitalized and institutionalized and was statistically significant in both investigated years. CONCLUSION: the confirmation of association between frailty and hospitalization and institutionalization reinforces the importance of the subject, and highlights frailty as an important tool for risk estimates for these adverse events.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.047
GPT teacher head0.324
Teacher spread0.277 · 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

Citations27
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de EnfermagemSame topicFrailty in Older AdultsFrench-language works237,207