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Record W2944233171

The occurrence of pressure ulcers and psychophysical efficiency in patients with cognitive disorders provided with long-term institutional care in Poland.

2014· article· en· W2944233171 on OpenAlexaboutno aff
Ilona Kuźmicz, Tomasz Brzostek, Maciej Górkiewicz

Bibliographic record

VenueJagiellonian University Repository (Jagiellonian University) · 2014
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)MedicineCognitionLong-term careIntensive care medicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Number of people requiring long-term institutional care is increasing in Poland. Older age, cognitive impairment, multidisease, falls, pressure ulcers, deficits in psychophysical efficiency often occur in patients benefiting from this type of service. The aim of the research was to evaluate the association between pressure ulcers and psychophysical efficiency in patients with cognitive disorders provided long-term institutional care. Study involved 160 persons with cognitive disorders (125 women and 35 men), age between 61–100 years. The study group included 80 patients of long-term care institution and 80 inhabitants of the social welfare home. The standardized Cognitive Assessment Scale (CAS), the Barthel scale, the Edmonton Functional Assessment Tool (EFAT) and the Observational Anxiety and Depression Scale were used as the research tools. The assessment was repeated three times: at the beginning, after three and six months. Respondents who experienced pressure ulcers (N = 28, 17.5%) were characterized by more severely impaired cognitive function (p < 0.001); dysfunction of functional status (p < 0.001), higher symptoms of tension, and anxiety (p = 0, 02) and a lower physical mobility (p < 0.001) than other patients without pressure ulcers. Patients with cognitive disorders provided with a long-term stationary care need systematic assessment of psychophysical activity, as a part of the of the pressure ulcer prevention program.

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 score0.029
Threshold uncertainty score0.886

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.230
Teacher spread0.226 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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