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Record W4390670736 · doi:10.1111/cdoe.12939

Investigating the perceptions and experiences of Canadian dentists on dental regulatory bodies' communications and guidelines during the <scp>COVID</scp> ‐19 pandemic

2024· article· en· W4390670736 on OpenAlexafffundabout
Kendra J. McLaughlin, Mehak Khanna, Paul Allison, Michael Glogauer, Mary McNally, Carlos Quiñonez, Leigha D. Rock, Walter L. Siqueira, Sreenath Madathil

Bibliographic record

VenueCommunity Dentistry And Oral Epidemiology · 2024
Typearticle
Languageen
FieldDentistry
TopicDental Research and COVID-19
Canadian institutionsUniversity of SaskatchewanWestern UniversityDalhousie UniversityUniversity of TorontoMcGill UniversityMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsPandemicMedicineQualitative researchCoronavirus disease 2019 (COVID-19)Family medicineConfusionPerceptionNursingPsychologyDiseasePathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Dental regulatory bodies aim to ensure the health and safety of dentists, dental staff patients and the public. An important responsibility during a pandemic is to communicate risk and guidelines for patient care. Limited data exist on the perceptions and experiences of dentists navigating new guidelines for mitigating risk in dental care during the pandemic. The objective of this study was to use a qualitative approach to explore how dentists in Canada experienced and perceived their regulatory bodies' communication about COVID-19 risks and guidelines during the pandemic. METHODS: Participants were Canadian dentists (N = 644) recruited through the email roster of nine provincial dental associations or regulatory bodies. This qualitative analysis was nested within a prospective longitudinal cohort study in which data were collected using online questionnaires at regular intervals from August 2020 to November 2021. To address the objective reported in this paper, a conventional qualitative content analysis method was applied to responses to three open-ended questions included in the final questionnaire. RESULTS: Participants encountered challenges and frustrations amid the COVID-19 pandemic, grappling with diverse regulations and communications from dental bodies. While some bodies offered helpful guidance, many participants felt the need for improved communication on guidelines. Dentists urged for expedited, clearer and more frequent updates, expressing difficulty in navigating overwhelming information. Negative views emerged on the vague and unclear communication of COVID-19 guidelines, contributing to confusion and frustration among participants. CONCLUSION: As COVID-19 persists and in planning for future pandemics, these experiential findings will help guide regulatory bodies in providing clear, timely and practical guidelines to protect the health and safety of dentists, dental staff, patients and the public.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.210
GPT teacher head0.439
Teacher spread0.229 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2024
Admission routes3
Has abstractyes

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