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Record W3134385630 · doi:10.1093/jcag/gwab002.067

A69 THE EFFECT OF COVID-19 PANDEMIC ON CURRENT AND FUTURE ENDOSCOPIC PERSONAL PROTECTIVE EQUIPMENT PRACTICES: A NATIONAL SURVEY OF 77 ENDOSCOPISTS

2021· article· en· W3134385630 on OpenAlexaffabout
Wenzheng Sun, Melanie El Hafid, Jerry T. Dang, Valentin Mocanu, Gregory Lutzak, Richard Sultanian, Christopher K. Wong, Shahzeer Karmali

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversity of TorontoUniversity of Alberta
Fundersnot available
KeywordsPersonal protective equipmentMedicinePandemicCoronavirus disease 2019 (COVID-19)DemographicsFamily medicineHealth careSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DiseasePathologyDemographyInfectious disease (medical specialty)

Abstract

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Abstract Background Personal protective equipment (PPE) guidelines serve to protect healthcare providers and patients from harmful biohazards. With the rise of the 2019 SARS-CoV-2 disease (COVID-19), many institutions have mandated strictly enforced endoscopic PPE guidelines. We currently do not know how current practitioners perceive these mandates or how they will influence their practice long-term. Aims We aimed to survey the PPE practices among endoscopists across Canada and compare their perceived differences in practice between the pre- and post-COVID-19 pandemic eras. We hypothesize that the PPE guidelines during the pandemic will influence changes in PPE practices in endoscopy. Methods A 74-item questionnaire was emailed from June 2020 to September 2020 to all members of the Canadian Association of Gastroenterologists and the Canadian Association of General Surgeons through newsletters. The survey was created by expert consensus and distributed using the REDCap software. Survey questions collected basic demographics and differences between PPE practices pre- and post-COVID-19 pandemic eras. PPE practices were categorized into four endoscopic procedure types: diagnostic or therapeutic, and upper or lower gastrointestinal endoscopy. Individual outcomes were reported as rates, or ranges when evaluating for all procedure types. Results A total of 77 respondents completed the survey with the majority of respondents aged 40–49 (34 [44.2%]) and identifying as Gastroenterologists (54 [70.1%]). Gender was evenly split (38 females [49.4%] versus 39 males [50.6%]). In the pre-pandemic era, the majority of endoscopists wore gowns (91.0–93.9%) and all endoscopists wore gloves (100%). However, the majority of endoscopists did not wear surgical masks (20.9%-31.3%), N95 respirators (1.5%-3.2%), face shields (13.4%-33.9%), eye protection (13.4%-21.3%), or hair protection (11.1%-12.5%). In the post-pandemic era, endoscopists reported a plan to dramatically change their pre-pandemic practices and adopt current PPE mandates. All endoscopists reported a plan to fully gown and glove (100%) with the majority reporting they will continue wearing surgical masks (87.7%-90.5%), face shields (57.8%-75.0%), and hair protection (50.8%-53.8%). However, the majority reported a plan to decrease universal use of N95 respirators (6.5%-23.7%) or eye protection (36.5%-40.0%). Over half of the respondents reported changing their practice from no masking pre-pandemic to implementing routine masking. Conclusions The COVID-19 pandemic has changed the attitudes of many endoscopists regarding future PPE use in routine endoscopy. Ongoing studies comparing the rates of transmission of hospital-acquired infections in the setting of endoscopy are needed to develop a new post-pandemic PPE consensus. Funding Agencies None

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.473
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.062
GPT teacher head0.384
Teacher spread0.322 · 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 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
Published2021
Admission routes2
Has abstractyes

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