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Record W3110554024 · doi:10.22374/jeleu.v3i4.104

The Urologist, Personal Protective Equipment (PPE) and COVID-19

2020· article· en· W3110554024 on OpenAlexvenueno aff
Subhabrata Mukherjee, Vasileios Bonatsos, Asif Raza

Bibliographic record

VenueJournal of Endoluminal Endourology · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPersonal protective equipmentFace shieldMedicineInfection controlCoronavirus disease 2019 (COVID-19)Universal precautionsTransmission (telecommunications)Standard precautionsPandemicMedical emergencyEconomic shortageRespiratorSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Intensive care medicineHealth carePathologyHuman immunodeficiency virus (HIV)VirologyInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Background and Objective To review the literature from a urologist’s perspective regarding the use of Personal Protective Equipment (PPE), associated challenges, and other potential measures that can be taken to reduce the risk of nosocomial COVID-19 transmission. Material and Methods A literature review using PubMed, Cochrane Review, and Google Scholar database search was performed using the keyword terms “COVID-19”, “Coronavirus”, “Personal Protective Equipment” (PPE), “healthcare workers” (HCW), “protection”, “masks”, and “urology”. Non-English articles were excluded. We present a summary of key guidance provided by regulatory bodies as well as some of the key articles published to date relating to PPE. Discussion SARS-CoV-2 virus is found mainly in the respiratory system but is also in blood, feces, semen, and urine. Both standard infection control precautions (SICPs) and transmission-based precautions (TBPs) are necessary to reduce nosocomial transmission of COVID-19 infection. PPE includes gowns, gloves, masks or respirators, goggles, and face shields; however, wearing PPE is only part of many precautionary measures that are necessary to prevent viral transmission. When used appropriately PPE not only protects HCWs from patients but also protects patients from HCWs who may be asymptomatic carriers of COVID-19 infection. Attention should also be paid to fit testing and fit checking, donning and doffing, and ever-evolving guidelines on PPE. Wearing PPE for a long time is also technically challenging and may adversely affect surgical outcomes. Shortages of PPE in the supply chain during the peak of the pandemic as well as concerns about substandard PPE should be considered for a possible second wave of COVID-19. Other key measures to minimize nosocomial SARS-CoV-2 virus transmission are a symptom and temperature screening of patients and staff; controlling the flow of patients, staff, and relatives in hospitals; self-isolation by patients before elective surgery; a robust testing protocol for both patients and staff; patient and staff cohorting; physical distancing; good hand hygiene; respiratory etiquette including face coverings for patients, staff and visitors; proper disposal of waste and enhanced cleaning; thorough cleaning and sterilization of surgical equipment performed post-operatively; choosing suitable anesthetic methods to minimize aerosolization of the virus; and if possible ensuring a negative-pressure theatre environment while dealing with COVID-19 positive patients. As scientific and regulatory bodies continue to issue updated guidance as more data is collected and a better knowledge base is developed regarding COVID-19 employers and staff need to keep up to date with guidance also. Conclusion COVID-19 will be around for the foreseeable future and infection rates may fluctuate as restrictions are eased. HCWs including urologists should take appropriate PPE measures not only in theatres, clinics, and endoscopy suits but also when performing simple tasks such as urine dipsticks, catheter, nephrostomy management, digital rectal examination (DRE), prostate biopsies, etc. as SARS-CoV-2 can be detected in feces, urine, and semen. Both employers and HCWs should adhere strictly to current guidelines and work together to minimize nosocomial transmission of COVID-19 infection.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.679
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
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 integrity0.0000.001
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 head0.102
GPT teacher head0.387
Teacher spread0.285 · 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 designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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