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Record W2074483970 · doi:10.3396/ijic.v3i2.2378

Reducing hospital acquired Clostridium difficile associated diarrhoea in an acute care facility

2007· article· en· W2074483970 on OpenAlexaboutno aff
Dan Costello

Bibliographic record

VenueInternational journal of infection control · 2007
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsClostridium difficileMedicineTimelineInfection controlOutbreakIntensive care medicineC difficileAcute careMedical emergencyAttack rateEmergency medicineHealth careMicrobiologyEconomic growth

Abstract

fetched live from OpenAlex

Hospital acquired Clostridium difficile associated diarrhoea (CDAD) was determined to be a longstanding historical concern at Nanaimo Regional General Hospital, with an infection rate nearly double the Canadian national average for similar sized facilities. During 2004/2005, a significant outbreak of CDAD fuelled an urgent response. The facilities, Infection Prevention & Control (IP&C) program deficiencies, and organizational culture issues were considered as strategies for improvement were contemplated. The multifaceted programmatic approach and partnerships with key stakeholders and patrons were instrumental in successfully reducing nosocomial CDAD and sustaining this low rate. The timeline for this initiative was 18 months beginning in July, 2005, with evaluation completed in December, 2006.

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 score0.107
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.319
Teacher spread0.307 · 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
Published2007
Admission routes1
Has abstractyes

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