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Record W4415831502 · doi:10.1016/j.identj.2025.104499

The Canadian Dental Care Plan For Children: A Sustainable Approach?

2025· article· en· W4415831502 on OpenAlexaffabout
Kelsey Cale, Sonica Singhal

Bibliographic record

VenueInternational Dental Journal · 2025
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDental careOral healthService (business)Dental hygieneDeciduous teethOral hygieneHealth carePermanent teethTertiary care

Abstract

fetched live from OpenAlex

This study aims to assess the essential dental services that children should have access to and evaluate whether the newly launched federal Canadian Dental Care Plan (CDCP), in May 2024, meets these needs. A cross-sectional survey was electronically administered in November 2023 to certified Canadian pediatric dentists to determine the normative oral health needs of Canadian children and the services that should be included in the CDCP’s basket of services. As the CDCP released dental services grids, the responses were compared to assess alignment and identify gaps. Of the 297 pediatric dentists surveyed, 109 responded. The respondents were thorough in their approach, selecting a full range of primary, secondary, and tertiary preventive services, and giving equal importance to deciduous and permanent teeth. While their perceptions largely aligned with the CDCP grids, several gaps were also identified, including the absence of services such as mouthguards, preformed zirconia crowns, space maintainers, smoking cessation counseling, oral hygiene instruction, and nutritional counseling. The CDCP dental service grids largely align with pediatric dentists' recommendations for restorative services (secondary and tertiary prevention). However, they fall short in addressing primary prevention, missing an opportunity to build a sustainable oral health care system that addresses not only current needs but also future burdens.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.289
Teacher spread0.282 · 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.

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
Published2025
Admission routes2
Has abstractyes

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