Prevention of Early Childhood Caries in North Carolina Medical Practices: Implications for
Bibliographic record
Abstract
Abstract: Early childhood caries is a significant public health problem in low-income children, with important negative conse-quences for the child and the family. The purpose of this paper is to describe the development, implementation, and preliminary outcomes of preventive dentistry programs in North Carolina that target low-income children from birth to thirty-five months of age. The focus is on Into the Mouths of Babes, a statewide program in which pediatricians, family physicians, and providers in community health clinics are reimbursed by Medicaid to provide preventive dental services for children (risk assessment, screening, referral, fluoride varnish application) and caregivers (counseling). The provider intervention includes continuing medical education lectures and interactive sessions, practice guidelines for the patient interventions, case-based problems, practical strategies for implementation, a toolkit with resource materials, and follow-up training. In the first two years of the statewide program, 1,595 medical providers have been trained. The number of providers billing for these services has steadily increased, and by the last quarter of 2002, the number of visits in which preventive dental services were provided in medical offices reached 10,875. A total of 38,056 preventive dental visits occurred in medical offices in 2002. By the end of 2002, only sixteen of the state’s one hundred counties had no pediatrician, family physician, or local health department participating. The preliminary results from this program demonstrate that nondental professionals can integrate preventive dental services into their practices. The program has increased access to preventive dental services for young Medicaid children whose access to dentists is
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".