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Record W2339399836 · doi:10.1097/won.0000000000000225

Pressure Ulcer Risk in the Incontinent Patient

2016· article· en· W2339399836 on OpenAlexaboutno aff
Charlie Lachenbruch, David O. Ribble, Kirsten Emmons, Catherine VanGilder

Bibliographic record

VenueJournal of Wound Ostomy and Continence Nursing · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUrinary incontinenceFecal incontinenceAcute careObservational studyLong-term careEmergency medicineCohortPhysical therapyIntensive care medicineInternal medicineSurgeryHealth careNursing

Abstract

fetched live from OpenAlex

PURPOSE: To measure the prevalence of incontinence in the 2013-2014 International Pressure Ulcer Prevalence (IPUP) surveys and determine the relative risk of developing a facility-acquired pressure ulcers (FAPUs) by stage and by Braden Scale score groupings. DESIGN: The IPUP survey is an observational, cross-sectional cohort database designed to determine the frequency and severity of pressure ulcers in various populations. SUBJECTS AND SETTING: The survey includes acute care (91.4%), long-term acute care (1.7%), rehabilitation patients (1.7%) and long-term care residents (5.2%). Geographic distribution included 182,832 patients in the United States, 22,282 patients in Canada, and the rest of the world, primarily in Europe and the Middle East. METHODS: We analyzed data from the 2013 and 2014 IPUP surveys to better understand the relationship between incontinence and the frequency and severity of FAPUs. The IPUP survey is an annual voluntary survey of patients who are hospitalized or who reside in long-term care facilities. Data were collected over a 24-hour period within each participating facility. Data collection included limited demographics, presence and stage of pressure ulcers, and pressure ulcer risk assessment score (Braden Scale for Pressure Sore Risk, Braden Q, Norton, Waterlow, and others). In addition, data were collected on pertinent pressure ulcer risk factors including the number of linen layers, use of a pressure redistributing surface, adherence to repositioning schedule, and whether moisture management was provided in the last 24 hours. We aggregated data by urinary, urinary catheter, fecal, fecal management system, double (urinary and fecal), and ostomy incontinence category. If patients were managed by indwelling urinary catheter or fecal management systems, they were considered incontinent in this analysis. In order to analyze ulcers likely to be affected by incontinence, we defined a subset of ulcers as Relevant Pressure Ulcers, which are ulcers that are facility-acquired, non-device-related, and located in the pelvic region. RESULTS: We analyzed 176,689 patients based on data collected between 2013 and 2014. Slightly less than half (n = 83,800; 47%) of patients did not have incontinence, and 92,889 (53%) were deemed to be incontinent. The prevalence of pressure ulcers was 4.1% for continent patients and 16.3% for incontinent patients; the prevalence of FAPUs was 1.6% and 6.0%, respectively. The relative risk for PU development in incontinent patients was higher than predicted by the Braden Scale risk score. As wound severity increased, the odds ratios for pressure ulcer development for incontinent patients versus continent patients also increased, especially in patients with fecal incontinence. CONCLUSIONS: Incontinent patients had higher Braden Scale scores and higher overall and FAPU prevalence. Incontinence was associated with an increased risk for all pressure ulcers, but especially full-thickness injuries.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 communication0.0010.000
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 head0.017
GPT teacher head0.346
Teacher spread0.329 · 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 designNot applicable
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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Citations97
Published2016
Admission routes1
Has abstractyes

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