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Record W92588021 · doi:10.1177/216507990505300606

Occupational Health and Infection Control Practices Related to Severe Acute Respiratory Syndrome: Health Care Worker Perceptions

2005· article· en· W92588021 on OpenAlexafffundabout
David M. Moore, Mark Gilbert, Sharon Saunders, Elizabeth Bryce, Annalee Yassi

Bibliographic record

VenueAAOHN Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsVancouver General HospitalBritish Columbia Institute of TechnologyUniversity of British ColumbiaProvidence Health CareBC Cancer Agency
FundersCanadian Institutes of Health Research
KeywordsHealth careMedicineEnvironmental healthOccupational safety and healthInfection controlPerceptionOutbreakDiseaseNursingFamily medicinePsychologyIntensive care medicine

Abstract

fetched live from OpenAlex

The spread of severe acute respiratory syndrome (SARS) in 2003 was largely driven by hospital-associated transmission where health care workers experienced the largest burden of disease. In attempting to improve occupational health and infection control procedures to prevent occupationally acquired infections in health care workers, it is important to examine the perceptions of those workers who are expected to adhere to specific policies. The authors conducted 15 focus groups of health care workers representing seven different job classifications in two Canadian provinces where SARS outbreaks occurred in 2003 using a theoretical framework which divided factors associated with self-protective behaviour at work into organizational, environmental, and individual factors. Content analysis of these discussions revealed that workers placed more importance on organizational factors than environmental and individual factors. The results are similar to those of a recently completed literature review of this subject, and should be considered when developing new occupational health initiatives to protect health care workers from existing or emerging respiratory tract infections.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.364
Teacher spread0.343 · 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

Citations39
Published2005
Admission routes3
Has abstractyes

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