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Pressure Ulcer-Related Pain in Nursing Home Residents with Cognitive Impairment

2013· article· en· W2048465761 on OpenAlexaff
Hyochol Ahn, Joyce Stechmiller, Ann L. Horgas

Bibliographic record

VenueAdvances in Skin & Wound Care · 2013
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMedicineMinimum Data SetDementiaCognitive impairmentCognitionContinuing educationCompetence (human resources)Nursing homesPhysical therapyNursingPopulationPsychiatryDiseaseInternal medicine

Abstract

fetched live from OpenAlex

In Brief PURPOSE: To enhance the learner’s competence by providing research about pressure ulcer-related pain in nursing home residents with cognitive impairment. TARGET AUDIENCE: This continuing education activity is intended for physicians and nurses with an interest in skin and wound care. OBJECTIVES: After participating in this educational activity, the participant should be better able to: 1. Explain this study’s methodology and tools. 2. Predict levels of pressure ulcer pain in a nursing home population with dementia. OBJECTIVE: The objective of this study was to examine how pain is reported in cognitively impaired nursing home residents with pressure ulcers using the Minimum Data Set 2.0 data set. The study design was cross-sectional, comparative stratified by 3 levels of cognitive impairment and 4 stages of PrUs. PARTICIPANTS: There were 56,577 participants in the study. This continuing education activity examines the relationship between level of cognitive impairment and pain severity in nursing home residents with pressure ulcers using the MDS 2.0 data set.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.356
Teacher spread0.349 · 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.

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

Citations16
Published2013
Admission routes1
Has abstractyes

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