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Record W2157561956 · doi:10.1177/1010539513475645

General Dental Practitioners’ Views on Early Childhood Caries and Timing of the First Dental Visit in Selangor, Malaysia

2013· article· en· W2157561956 on OpenAlexaff
Alaa Sabah Hussein, Robert J. Schroth, Mohamed Ibrahim Abu Hassan

Bibliographic record

VenueAsia Pacific Journal of Public Health · 2013
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Manitoba
FundersDivision of Electrical, Communications and Cyber Systems
KeywordsMedicineEarly childhood cariesLogistic regressionFamily medicineDescriptive statisticsCryingDentistryOral healthPsychiatry

Abstract

fetched live from OpenAlex

This survey evaluated the knowledge, attitudes, and practices of general dental practitioners (GDPs) in Selangor regarding early childhood caries (ECC) prevention and the recommended timing of a child's first dental visit. A questionnaire was mailed to 521 licensed GDPs. Descriptive statistics were used, and bivariate and logistic regression analyses were performed. The response rate was 52.6%. Although 89.8% mentioned counseling parents and caregivers, only 44.2% were familiar with anticipatory guidance. Whereas 98.2% agreed that early examinations are important to prevent ECC, only 51.8% were aware of the recommendation for a first visit by 12 months of age. GDPs who recommended early dental visits were significantly more likely to be recent graduates, more familiar with professional guidelines, and less likely to be deterred by a child's crying or behavior. In conclusion, GDPs in Selangor are aware about the importance of early dental visits in ECC prevention. However, a considerable number of them are still not aware of the recommendation that children must first visit the dentist by 12 months of age. Furthermore, some of their current practices in ECC management and prevention do not match professional recommendations.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.470

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 communication0.0000.001
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 head0.028
GPT teacher head0.292
Teacher spread0.264 · 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

Citations7
Published2013
Admission routes1
Has abstractyes

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