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Record W2549892639 · doi:10.1093/biolreprod/78.s1.134b

Nurses Perceptions of Occupational Reproductive Risks Associated with Severe Acute Respiratory Syndrome (SARS) and the Implications for Future Outbreaks.

2008· article· en· W2549892639 on OpenAlexaffabout
Karen P. Phillips, Tracey O’Sullivan, Carol Amaratunga

Bibliographic record

VenueBiology of Reproduction · 2008
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOutbreakPreparednessFocus groupContext (archaeology)Health carePandemicQualitative researchMedicineEnvironmental healthFamily medicineDiseaseInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)Political scienceGeographySociologyVirology

Abstract

fetched live from OpenAlex

Introduction: The emergence of Severe Acute Respiratory Syndrome (SARS) in 2002-2003 and resulting outbreaks in Asia and Canada was the impetus for enhanced global and regional pandemic influenza planning. Health care workers represented a significant number of SARS cases, highlighting the occupational health risks of working as a responder during large-scale outbreaks. In Canada, the SARS outbreak represented two waves over several months. It is therefore reasonable to expect that during any infectious disease outbreak some responding health care workers will be pregnant or trying to conceive. The reproductive status of our medical response community may render them more susceptible to acute respiratory infections with important implications for their role in outbreak response. Methods: Five focus groups were conducted between November 2005 and February 2006, with Canadian emergency and critical care nurses, nursing managers, infection control specialists and union representatives from Ottawa, Toronto, Vancouver and Halifax as part of the Caring About Health Care Workers as First Responders: Enhancing Capacity for Gender-Based Support Mechanisms in Emergency Preparedness Planning project, funded by the federal CBRN Research Technology Initiative (CRTI). The number of participants in each focus group was: Ottawa (n=10, n=25); Toronto (n=15); Vancouver (n=27); and Halifax (n=23), for a total of 100 participants. Qualitative analysis of the focus group data was conducted by a team of four researchers, who coded the field notes from each session within the context of instrumental, informational and emotional supports for health care workers. Emergent themes were established by consensus of three associates on the research team. Results: The focus groups provided an opportunity for nurses to discuss their experiences working during the SARS outbreak and their perceptions regarding preparedness and risk. Major reproductive themes included: pregnancy/fertility risks associated with SARS exposure; pregnancy/fertility risks associated with prophylaxis medications/vaccinations; need for occupational safety information related to pregnancy/fertility and SARS; and human resource issues related to redeployment of pregnant nurses during infectious disease outbreaks. Implications: The few case reports of outcomes in pregnant women infected with SARS or H5N1 (avian influenza) describe significant maternal morbidity and mortality with obstetric complications (miscarriage, preterm delivery and intrauterine growth retardation (IUGR)) compared to non-pregnant women infected with SARS. These outcomes support the concerns expressed by nurses regarding occupational risks of SARS and pregnancy. A reproductive risk assessment should therefore be required in all infectious disease outbreaks (e.g. SARS, H5N1) or pandemic influenza to provide pregnant women, in particular female healthcare workers, with guidelines regarding infection control, use of prophylactic antivirals and obstetrics management. Effective risk communication strategies and policies will provide essential tools to enable health care workers to respond safely to infectious disease outbreaks.

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)0.002
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 score0.076
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.069
GPT teacher head0.382
Teacher spread0.313 · 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
Published2008
Admission routes2
Has abstractyes

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