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Record W6959593661 · doi:10.11575/prism/44907

What do central venous catheter-associated bloodstream infections have to do with bundles?

2005· other· en· W6959593661 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2005
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGrassrootsSAFERHealth carePsychological interventionPatient safetyAction (physics)Public health

Abstract

fetched live from OpenAlex

Interest in the patient safety agenda continues to grow in North America. In the United States (US), the Institute for Healthcare Improvement (IHI) has begun a campaign to make health care safer and more effective by encouraging hospitals to implement interventions they believe can avoid 100,000 deaths between January 2005 and July 2006 (1). The IHI, a not-for-profit organization founded in 1991, promotes the improvement of health by advancing the quality and value of health care (2). Three of the six areas for action chosen by the IHI for their '100,000 Lives Campaign' relate to prevention of nosocomial infections: central line infections, surgical site infections and ventilator-associated pneumonia. In Canada, a grassroots patient safety campaign modelled after the IHI's '100,000 Lives Campaign' has formed (3). This 'Safer Healthcare Now!' campaign focuses on the same six strategies chosen for the '100,000 Lives Campaign'. Across the country, hospitals are being invited to join the 'Safer Healthcare Now!' campaign.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.005
GPT teacher head0.191
Teacher spread0.186 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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