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Predicting factors of pressure ulcers in older Thai stroke patients living in urban communities

2011· article· en· W2162712366 on OpenAlex
Chophaka Suttipong, Siriorn Sindhu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Clinical Nursing · 2011
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)PsychosocialLogistic regressionCross-sectional studyGeriatric Depression ScaleDepression (economics)Physical therapySocial supportGerontologyInternal medicineAnxietyPsychiatryPsychologyDepressive symptoms

Abstract

fetched live from OpenAlex

AIM AND OBJECTIVE: To describe the contributing factors for pressure ulcer development in older Thai stroke patients in an urban community. BACKGROUND: Pressure ulcers are a common problem signifying a source of morbidity and mortality in older stroke patients. In the past, most studies have focused on the physiological factors affecting pressure ulcer development. However, studies related to effect of stroke severity and psychosocial factors in community-based setting have not found. DESIGN: Cross-sectional survey design. METHODS: One hundred and sixty-eight older stroke patients from urban communities in three districts in metropolitan Thailand were recruited for this cross sectional study. Data were collected from the Skin Assessment Tool, the Braden scale, the Canadian Neurological Scale, the Social Support Questionnaire and the Thai Geriatric Depression Scale for each patient. The results were analysed using multiple logistic regression and the chi-square test. RESULTS: Eighty older stroke patients who developed pressure ulcers (47·6%). The participants were aged between 60-93 years. Multiple logistic regression analysis was applied to calculate the odds ratio. The significant predicting factors for pressure ulcers were activity, moisture, nutrition, friction and shearing and depression. Sensory perception, mobility, severity of stroke and social support were not found to be significant predictors. CONCLUSIONS: Physiological factors and depression were found to be significant predicting factors for pressure ulcer development in older stroke patients living in an urban community. RELEVANCE TO CLINICAL PRACTICE: To help prevent pressure ulcers in older stroke patients, the findings suggest that healthcare providers assess activity, moisture, nutrition, friction and shearing, as well as psychological assessment for depression. The results indicate that models for pressure ulcer prevention merit further investigation.

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.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.016
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.124
GPT teacher head0.454
Teacher spread0.330 · 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