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Record W3041550942 · doi:10.1002/jdd.12302

COVID‐19 pandemic: Students’ perspectives on dental geriatric care and education

2020· article· en· W3041550942 on OpenAlexaffabout
Mario Brondani, Leeann Donnelly

Bibliographic record

VenueJournal of Dental Education · 2020
Typearticle
Languageen
FieldDentistry
TopicDental Research and COVID-19
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPreparednessPandemicGeriatricsMedical educationCoronavirus disease 2019 (COVID-19)Thematic analysisPsychologyMedicineFamily medicineSociologyQualitative researchPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVES: With the emergence of the COVID-19 pandemic in Canada and the curtailment of clinical and face-to-face university instruction in British Columbia on March 16, 2020, the opportunity arose to explore how third- and fourth-year undergraduate dental students critically considered the impact of the pandemic on education and the practice of dental geriatrics. METHODS: All third- and fourth-year undergraduate dental students within a dental geriatric module were asked to provide a written guided reflection on the question: "In your opinion, what factors make outbreaks (or pandemics) like COVID-19 relevant to the practice of dental geriatrics?" Reflections were gathered from March 12 to May 8, 2020. Thematic analysis was conducted to identify and interpret patterns of meaning within the reflections by means of an interactive coding process. RESULTS: A total of 115 reflections, between 291 and 710 words each, were received from 56 third-year (62.5% male) and 59 fourth-year (42.6% male) students. Five main themes emerged: experiencing uncertainties, frailty as a moderator, constraints in accessing care, preparedness protocol, and redefining care. The frequency in which the same codes, categories, and themes were assigned varied from 16 to 140 times. CONCLUSIONS: Students' reflections highlighted the effects of the pandemic, not only on their education but also on frail older adults themselves and the profession of dentistry in general. Further studies are warranted to explore how this curtailment might impact educators' approaches to geriatric education, as well as the way graduating students will set up their practices and approach geriatric care in the future.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.409
Teacher spread0.376 · 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

Citations39
Published2020
Admission routes2
Has abstractyes

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