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Record W2398937701

A comparison of infection control program resources, activities, and antibiotic resistant organism rates in Canadian acute care hospitals in 1999 and 2005: pre- and post-severe acute respiratory syndrome.

2009· article· en· W2398937701 on OpenAlexaffabout
Dick E Zoutman, B Douglas Ford

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsKingston General HospitalQueen's University
Fundersnot available
KeywordsMedicineInfection controlAcute careOutbreakClostridium difficileAntibioticsVancomycin-resistant EnterococcusEmergency medicinePneumoniaStaphylococcus aureusInternal medicineIntensive care medicineHealth carePediatricsVancomycinBiologyMicrobiologyVirology
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The Resources for Infection Control in Hospitals (RICH) project assessed infection control programs and rates of antibiotic-resistant organisms (AROs) in Canadian acute care hospitals in 1999. In the meantime, the Severe Acute Respiratory Syndrome (SARS) outbreak and the concern over pandemic influenza have stimulated considerable government and healthcare institutional efforts to improve infection control systems in Canada. METHODS: In 2006, a version of the RICH survey similar to the original RICH instrument was mailed to infection control programs in all Canadian acute care hospitals with 80 or more beds. Chi-square, ANOVA, and analysis of covariance analyses tested for differences between the 1999 and 2005 samples for infection control program components and ARO rates. RESULTS: 72.3% of Canadian acute care hospitals completed the RICH survey for 1999 and 60.1% for 2005. Hospital size was controlled for in analyses involving AROs and surveillance and control intensity levels. Methicillin-resistant Staphylococcus aureus (MRSA) rates increased from 1999 to 2005 (F = 9.4, P = 0.003). In 2005, the MRSA rate was 5.2 (SD 6.1) per 1,000 admissions and in 1999 was 2.0 (SD 2.9). Clostridium difficile-associated diarrhea (CDAD) rates, trended up from 1999 to 2005 (F = 2.9, P = 0.09). In 2005, the mean CDAD rate was 4.7 (SD 4.3) and in 1999 it was 3.8 (SD 4.3). The proportion of hospitals that reported having new nosocomial Vancomycin-resistant Enterococcus (VRE) cases was greater in 2005 than in 1999 (X = 10.5, P = 0.001). In 1999, 34.5% (40 of 116) hospitals reported having new nosocomial VRE cases and in 2005, 61.0% (64 of 105) reported new cases. Surveillance intensity index scores increased from 61.7 (SD 18.5) in 1999 to 68.1 (SD 15.4) in 2005 (F = 4.1, P = 0.04). Control intensity index scores, trended upwards slightly from 60.8 (SD 14.6) in 1999 to 64.1 (12.2) in 2005 (F = 3.2, P = 0.07). ICP full time equivalents (FTEs) per 100 beds increased from 0.5 (SD 0.2) in 1999 to 0.8 (SD 0.3) in 2005 (F = 90.8, P < 0.0001). However, the proportion of ICPs in hospitals certified by the Certification Board of Infection Control (CBIC) decreased from 53% (SD 46) in 1999 to 38% (SD 36) in 2005 (F = 8.7, P = 0.004). CONCLUSIONS: Canadian infection control programs in 2005 continued to fall short of expert recommendations for human resources and surveillance and control activities. Meanwhile, Nosocomial MRSA rates more than doubled between 1999 and 2005 and hospitals reporting new nosocomial VRE cases increased 77% over the same period. While investments have been made towards infection control programs in Canadian acute hospitals, the rapid rise in ICP positions has not yet translated into marked improvements in surveillance and control activities. In the face of substantial increases in ARO rates in Canada, continued efforts to train ICPs and support hospital infection control programs are necessary.

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)0.005
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 score0.040
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.006
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.259
Teacher spread0.252 · 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".

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Citations2
Published2009
Admission routes2
Has abstractyes

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