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Record W3095286793 · doi:10.12816/0057436

Escalation of Standard Precautions during COVID-19 Pandemic : Review of Electronic Literature and Position Paper

2020· article· en· W3095286793 on OpenAlexaboutno aff
Abdul Rahman Bizri, Rima Moghnieh

Bibliographic record

VenueLebanese Medical Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Position (finance)VirologyMedicineBusinessOutbreak

Abstract

fetched live from OpenAlex

Introduction: It has been proven that COVID- 19 asymptomatic carriers and presymptomatic patients do transmit the virus and potentially infect their contacts and caregivers International medical and scientific societies, as well as governmental and public health bodies, from all over the globe, have issued recommendations about infection prevention and control measures that should be taken, in addition to the general standard precautions measures, while dealing with hospital patients during this pandemic In this article, we did an electronic review of the published and posted recommendations in different medical scenarios Accordingly, we put a position set of recommendations about the precautions that are needed to be taken with all patients when the virus is still circulating in the community from an Infectious Disease specialist perspective Methods: This is a narrative electronic review of the available and latest interim guidelines recommendations, position statements, expert commentaries and opinions issued by international scientific societies, international organizations, governmental bodies and public health authorities from different medical specialties in the United States of America, Canada, United Kingdom, Europe, France, Italy, China, Australia, and Asia Pacific region We searched PubMed and Google Scholar for articles and written material published in English and French between January 1, 2020, and April 25, 2020 Results: Recommendations were retrieved from around 50 documents We endorse the general recommendations that appear in all reviewed specialties From an infectious disease specialist perspective, the following should be applied to all patients in healthcare settings: • Triage based on a checklist with the timely updated case definition at the entrance and admission to any health facility ward or service • Aerosol generating procedures to all patients like tracheal intubation for medical reasons or anesthesia, gastrointestinal endoscopy is preferably done under airborne/contact precautions • Areas of the hospital where patients potentially would undergo aerosol generating procedures should be adequately ventilated and with negative pressure • All staff should be trained for donning and doffing personal protective equipment, and well trained regarding infection prevention measures in their respective departments • Face-to-face consultations especially in the vulnerable at risk population, like immunocompromised patients and pregnant women, should be reasonably minimized along with prioritization and deferral of care as much as possible •Workforce and personal protective equipment management should become a priority in the planning of care Conclusion: The COVID pandemic has become a turning point in the standard of care in healthcare settings At least, until the availability of universal vaccination or mortality-reducing therapies, healthcare settings will have to apply additional measures to the classical standard precautions, not only to those infected, but to asymptomatic patients, healthcare personnel and visitors

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.088
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.088
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0190.016
Science and technology studies0.0010.002
Scholarly communication0.0040.006
Open science0.0030.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.034
GPT teacher head0.382
Teacher spread0.349 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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