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Record W1965482773 · doi:10.1186/1753-6561-5-s6-p121

Significant heterogeneity in hand hygiene compliance between different physician groups

2011· article· en· W1965482773 on OpenAlexaff
O Yow, Sandra Callery, Mary Vearncombe

Bibliographic record

VenueBMC Proceedings · 2011
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineCompliance (psychology)HygieneHomogeneousHealth careFamily medicinePathology

Abstract

fetched live from OpenAlex

Designated auditors were trained to perform HH audits in all inpatient and long term care units of our 1185-bed academic tertiary medical centre. The auditors used a standardized validated tool to audit HCW’s HH during their patient interactions. The physician group was separated into 3 categories according to their seniority: staff physician, resident/fellow physician and medical student. When the auditors are unsure which category a physician belongs to, they ask for verbal confirmation. The HH compliance of the three physician groups was compared. Between Oct 2010 and Feb 2011, a total of 8337 HH opportunities were observed. 1292 (15%) opportunities were observed in the physician group: 486 opportunities were observed in staff physicians, 693 in resident/fellow physicians, and 113 in medical students. The overall average hospital compliance was 79%; overall physician group compliance was 65%. Among the physician group, staff physicians compliance was 71%, resident/fellow physicians was 61% and medical students was 67%. The difference between staff physicians and resident/fellow physicians was statistically significant. There is marked heterogeneity in HH compliance between staff physicians and resident/fellow physicians. The capability to detect such differences is important to direct compliance improvement efforts, with the goal of improving overall HH compliance.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.765

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 integrity0.0000.000
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 head0.151
GPT teacher head0.326
Teacher spread0.175 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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