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Record W2203325088 · doi:10.1155/2001/931796

The Impact of Health Care Restructuring on Nosocomial Infections and Transmission of Antimicrobial Resistant Organisms

2001· article· en· W2203325088 on OpenAlexaffabout
John Conly, Lynn Johnston

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2001
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMedical Device Sterilization and Disinfection
Canadian institutionsDalhousie UniversityQueen Elizabeth II Health Sciences CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsAntimicrobialTransmission (telecommunications)RestructuringAntibiotic resistanceIntensive care medicineMicrobiologyMedicineAntibioticsBiologyBusinessComputer science

Abstract

fetched live from OpenAlex

The past decade has seen a dramatic change in Canadian health care as the treatment of many patients shifts from the hospital setting to the home or other alternative health care settings (1). Complex advances in technology and significant changes in the funding environment have also precipitated many changes in the functional capacity of our health care system. The portion of the total Canadian health care expenditures that has been allocated to hospitals and other institutions has declined steadily over the past two decades (2,3). This reduction in institutional‐based funding reflects the need to develop a system that improves the use of out‐of‐hospital sites for delivery of health care services and decreases reliance on the specific institutional component of the health care sector. Recent data reveal that Canadian hospital discharge rates have decreased by 14% between 1994 and 1998, and there has been a reduction in the length of stay from 7.4 to 7 days (4). In conjunction with a reduction in the number of hospital beds, there has been a massive shift in the proportion of surgeries that are performed on an outpatient basis. Further developments in the delivery of care include the increased use of telehealth, which allows health care professionals to provide increasingly complex services centralized hospital sites to outlying areas.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.633

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 studies0.0000.001
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 head0.005
GPT teacher head0.250
Teacher spread0.245 · 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

Citations2
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Infectious Diseases and Medical MicrobiologySame topicMedical Device Sterilization and DisinfectionFrench-language works237,207