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Record W7062119294

Self-reported hand hygiene perceptions and barriers among companion animal veterinary clinic personnel in Ontario, Canada

2016· article· en· W7062119294 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed Central · 2016
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsHygienePerceptionCompanion animalHand washingScale (ratio)Personal hygiene
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study was to describe the perceived importance of and barriers to hand hygiene among companion animal clinic staff. An anonymous, voluntary written questionnaire was completed by 356 of approximately 578 individuals (62%) from 49/51 clinics. On a scale of 1 (not important) to 7 (very important), the percentage of respondents who rated hand hygiene as a 5 or higher was at least 82% in all clinical scenarios queried. The most frequently reported reason for not performing hand hygiene was forgetting to do so (40%, 141/353). Specific discussion of hand hygiene practices at work was recalled by 32% (114/354) of respondents. Although veterinary staff seem to recognize the importance of hand hygiene, it should be emphasized more during staff training. Other barriers including time constraints and skin irritation should also be addressed, possibly through increased access to and use of alcohol-based hand sanitizers.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.195
Teacher spread0.184 · 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 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

Citations11
Published2016
Admission routes1
Has abstractyes

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