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Record W3203825253

Risks and Protocols for Occupational Infections in Norwegian Nursing Programs

2021· article· en· W3203825253 on OpenAlexaff
Lua Samimi, Joern Klein

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2021
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNorwegianNursingMedicinePopulationAffect (linguistics)Environmental healthRisk of infectionFamily medicinePsychology
DOInot available

Abstract

fetched live from OpenAlex

Hospital-acquired infections (HAI) affect millions of patients and healthcare workers every year. Nursing students are a particularly vulnerable population at increased risk of occupationally-acquired infections and injuries. In this qualitative study, we explore the risks and protocols currently in place for occupational infections in Norwegian nursing programs. Stress and lack of resources were among the identified individual and systemic risk factors, respectively. Accessible reporting systems and surveillance registries were also noted to be lacking across all participating universities. This paper highlights areas of improvement that nursing programs around the world may consider to better protect their students.

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 score0.256
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.163
GPT teacher head0.432
Teacher spread0.269 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDuo Research Archive (University of Oslo)Same topicInfection Control in HealthcareFrench-language works237,207