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Record W2061556590 · doi:10.5430/jha.v2n4p15

A predicted outbreak in an overcrowded, administratively neglected and run-down haemodialysis unit as an offer of “New Public Management” in Norwegian hospitals

2013· article· en· W2061556590 on OpenAlexvenueno aff
Bjørg Marit Andersen, B. Seljordslia, K. Hochlin, Mette Rasch, Gaute Syversen

Bibliographic record

VenueJournal of Hospital Administration · 2013
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsnot available
Fundersnot available
KeywordsOvercrowdingMedicineOutbreakInfection controlPublic healthUnit (ring theory)NorwegianEmergency medicineMedical emergencyFamily medicineIntensive care medicineNursing

Abstract

fetched live from OpenAlex

Background: Scandinavian countries had a low rate of vancomycin- resistant enterococci (VRE) until 2007. Since 2007, there has been an alarming spread of VRE in Sweden and later on in Norway. From 2002 on, public hospitals in Norway were transferred from the County administration to a few regional state enterprises, drifted and organized according to the “New Public Management” (NPM), to save money. Four hospitals in Oslo, including Ullevål University Hospital, were, of the same reason, further merged into a 1500 beds Oslo University Hospital in 2009. Methods: This study included the hospital management of infection control and attitudes to reports from routine inspections in a haemodialysis unit at Oslo University Hospital (OUS) - before and after an outbreak of VRE in 2011. Results: Before the outbreak of VRE, repeated site inspections by infection control personnel revealed overcrowding, a poor hospital design, a low hygienic standard, and an imminent risk for hospital infection in a haemodialysis unit at OUS. Reports concerning deviation from proper infection control were sent to the hospital administration. Two project groups were set down consecutively within a year to solve the problems. They were both nearly immediately put on hold because of lack of economic resources. The Board of Health in the Counties of Oslo and Akershus (having the overall supervision of the health care in the Counties) was then notified by the infection control doctor. The outbreak of VRE was detected in May 2011 in this haemodialysis unit. It was promptly stopped after one month, by using a combination of several restrictive infection control methods. All VRE cases were negative after repeated negative samplings for a year. The outbreak resulted in a response from the hospital administration to the serious conditions in this unit. One and a half year later, an extended, refurbished new unit was ready for the patients. Conclusion: A low hygienic standard in an overcrowded and run-down haemodialysis unit was neglected by an administrative organization lacking economic resources after following the ideas of NPM through many years. This situation finally led to an outbreak of VRE. An early and restrictive intensive intervention leads to a rapid termination of the outbreak.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.018
GPT teacher head0.291
Teacher spread0.273 · 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.

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

Citations13
Published2013
Admission routes1
Has abstractyes

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