MétaCan
Menu
Back to cohort
Record W12422342 · doi:10.1017/s1049023x00024043

Disaster and Emergency Management: Canadian Nurses' Perceptions of Preparedness on Hospital Front Lines

2008· article· en· W12422342 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePrehospital and Disaster Medicine · 2008
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsInstitute of Population and Public HealthUniversity of Ottawa
Fundersnot available
KeywordsPreparednessOutbreakEmergency managementMedicineMedical emergencyScale (ratio)FeelingNursingPsychologyGeographyPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Three years following the global outbreak of severe acute respiratory syndrome (SARS), a national, Web-based survey of Canadian nurses was conducted to assess perceptions of preparedness for disasters and access to support mechanisms, particularly for nurses in emergency and critical care units. HYPOTHESES: The following hypotheses were tested: (1) nurses' sense of preparedness for infectious disease outbreaks and naturally occurring disasters will be higher than for chemical, biological, radiological, and nuclear (CBRN)-type disasters associated with terrorist attacks; (2) perceptions of preparedness will vary according to previous outbreak experience; and (3) perceptions of personal preparedness will be related to perceived institutional preparedness. METHODS: Nurses from emergency departments and intensive care units across Canada were recruited via flyer mailouts and e-mail notices to complete a 30-minute online survey. RESULTS: A total of 1,543 nurses completed the survey (90% female; 10% male). The results indicate that nurses feel unprepared to respond to large-scale disasters/attacks. The sense of preparedness varied according to the outbreak/disaster scenario with nurses feeling least prepared to respond to a CBRN event. A variety of socio-demographic factors, notably gender, previous outbreak experience (particularly with SARS), full-time vs. part-time job status, and region of employment also were related to perceptions of risk. Approximately 40% of respondents were unaware if their hospital had an emergency plan for a large-scale outbreak. Nurses reported inadequate access to resources to support disaster response capacity and expressed a low degree of confidence in the preparedness of Canadian healthcare institutions for future outbreaks. CONCLUSIONS: Canadian nurses have indicated that considerably more training and information are needed to enhance preparedness for frontline healthcare workers as important members of the response community.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.339
Teacher spread0.315 · 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