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Record W1522464748 · doi:10.1080/13648470.2014.1003795

Implications of design on infection prevention and control practice in a novel hospital unit: the Medical Ward of the 21st Century

2015· article· en· W1522464748 on OpenAlexafffund
Amanda VanSteelandt, John Conly, William A. Ghali, Charles Mather

Bibliographic record

VenueAnthropology and Medicine · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsInstitute of Population and Public HealthUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsHygieneInfection controlObservational studyHospital-acquired infectionMedicineUnit (ring theory)Transmission (telecommunications)Experiential learningControl (management)Health careHospital medicineNursingFamily medicinePsychologyIntensive care medicine

Abstract

fetched live from OpenAlex

The physical design of hospital wards is associated with transmission of pathogenic organisms and hospital-acquired infections. A novel hospital unit, the Medical Ward of the 21st Century (W21C), optimizes features for infection prevention and control practices. Ethnographic research on the W21C versus conventional hospital wards examined the experiential and behavioural elements of the different designs. Three recurring themes emerged regarding the design features on the W21C and included visual cues, 'having a place for things', and less sharing of spaces and materials. Observational data of healthcare worker practices demonstrated significantly higher compliance with hand hygiene opportunities on the W21C compared with older hospital units. These findings suggest how the physical design of a hospital ward may enhance infection prevention and control practices.

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 score0.194
Threshold uncertainty score0.802

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 studies0.0000.002
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 head0.033
GPT teacher head0.348
Teacher spread0.316 · 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

Citations10
Published2015
Admission routes2
Has abstractyes

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