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Record W2404098428 · doi:10.1177/216507990505300904

Conversion to Low-Protein, Powder-Free Surgical Gloves: Is it Worth the Cost?

2005· article· en· W2404098428 on OpenAlexaff
Denise M. Komiewicz, Nantiya Chookaew, Maher M. El‐Masri, Kim Mudd, Mary E. Bollinger

Bibliographic record

VenueAAOHN Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicSurgical Sutures and Adhesives
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMcNemar's testMedicineHealth careMedical emergency

Abstract

fetched live from OpenAlex

This study was conducted to determine changes in overall costs associated with conversion to powder-free gloves including cost of workers' compensation cases for natural rubber latex (NRL)-related symptoms and health care workers' glove satisfaction. The study, a 2-year, longitudinal design with retrospective and prospective aspects, was developed to determine health care worker use of powder-free, low-protein NRL gloves, sensitization, cost, and glove satisfaction. Informed consent was obtained from 103 health care workers. Prior to glove conversion, nearly one-half (44%, 36 of 82) of the operating room staff reported symptoms related to NRL exposure. At the end of the 14-month data collection period, only 27% (22 of 82, McNemar test = .007) reported symptoms related to NRL exposure. Additionally, a cost savings of 10,000 dollars per year for gloves was evident with reports of increased user satisfaction. This study demonstrated that conversion to the use of powder-free, low-protein NRL gloves not only reduces health care worker NRL symptoms, but also positively affects the costs of glove purchases and workers' compensation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.019
GPT teacher head0.285
Teacher spread0.266 · 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 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".

Quick stats

Citations15
Published2005
Admission routes1
Has abstractyes

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