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Record W2939216015 · doi:10.11575/prism/30167

The Effectiveness of Education Based Programs Delivered by Nondental Professionals for Preventing Early Childhood Caries

2015· article· en· W2939216015 on OpenAlexaboutno aff
Pamneet Brar

Bibliographic record

VenueOpen MIND · 2015
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMedical educationPsychology

Abstract

fetched live from OpenAlex

Early childhood caries is the most common chronic infectious disease in children, yet completely preventable with proper oral hygiene. With Severe ECC, children require costly dental surgery, especially for those from low socioeconomic families. This is due to the fact that children under five years of age do not routinely encounter a dental care provider until it is too late. Nondental healthcare providers, on the other hand, are uniquely positioned to intervene. The objectives of this literature review was to determine whether dental health education programs provided by nondental care providers could improve outcomes related to early childhood caries for low-income children. And secondly, to identify effective dental education programs for caries prevention. A comprehensive review of current literature was conducted to meet these objectives. Home visitation delivered by nurses was found to be an effective and cost-efficient ways to deliver dental education. When support in terms of screening, oral hygiene instruction, and dental referrals are combined with education, the positive impact on early childhood caries increased. In conclusion, policymakers should implement oral health promotion programs using a combination of education and support delivered by nursing staff in client’s homes. Programs can be embedded into existing healthcare services across the province. However, services should be concentrated in low socioeconomic status communities and regions within Alberta. Furthermore, nurses must collaborate across disciplines to ensure seamless integration of oral health with general health and push for more rigorous research in this area to guide best practice. In conclusion, a combination of tailored approaches is necessary to achieve a sustained improvement in oral health throughout early childhood.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.366
Teacher spread0.337 · 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 designOther design
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

Citations2
Published2015
Admission routes1
Has abstractyes

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