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Record W2566850938 · doi:10.1017/ice.2016.308

Unit-Specific Rates of Hand Hygiene Opportunities in an Acute-Care Hospital

2016· article· en· W2566850938 on OpenAlexaffabout
Angela Han, Laurie J. Conway, Christine Moore, Liz McCreight, Kelsey Ragan, Jannice So, Emily Borgundvaag, Brenda L. Coleman, Allison McGeer

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2016
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsPublic Health OntarioUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineHygieneObservational studyAcute careEmergency medicineIntensive care unitHealth careMedical emergencyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE To explore the frequency of hand hygiene opportunities (HHOs) in multiple units of an acute-care hospital. DESIGN Prospective observational study. SETTING The adult intensive care unit (ICU), medical and surgical step-down units, medical and surgical units, and the postpartum mother-baby unit (MBU) of an academic acute-care hospital during May-August 2013, May-July 2014, and June-August 2015. PARTICIPANTS Healthcare workers (HCWs). METHODS HHOs were recorded using direct observation in 1-hour intervals following Public Health Ontario guidelines. The frequency and distribution of HHOs per patient hour were determined for each unit according to time of day, indication, and profession. RESULTS In total, 3,422 HHOs were identified during 586 hours of observation. The mean numbers of HHOs per patient hour in the ICU were similar to those in the medical and surgical step-down units during the day and night, which were higher than the rates observed in medical and surgical units and the MBU. The rate of HHOs during the night significantly decreased compared with day (P92% of HHOs on medical and surgical units, compared to 67% of HHOs on the MBU. CONCLUSIONS Assessment of hand hygiene compliance using product utilization data requires knowledge of the appropriate opportunities for hand hygiene. We have provided a detailed characterization of these estimates across a wide range of inpatient settings as well as an examination of temporal variations in HHOs. Infect Control Hosp Epidemiol 2017;38:411-416.

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)0.001
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 score0.084
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.072
GPT teacher head0.357
Teacher spread0.284 · 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

Citations7
Published2016
Admission routes2
Has abstractyes

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