Utilization of community health workers in Canada's Children's Oral Health Initiative for indigenous communities
Bibliographic record
Abstract
OBJECTIVE: The Children's Oral Health Initiative (COHI) is a federally funded community-based preventive dental programme implemented in geographically remote Canadian Indigenous communities. The study investigated the effect of the availability of local community health workers (COHI Aides) on access to the programme's preventive dental services for children. METHODS: Twenty-five communities were continuously enrolled in the COHI during the 7-year study period. Communities were categorized as having uninterrupted (all 7 years), intermittent (≥4 years) or sporadic (<4 years) service from a community health worker. Four outcome variables measured longitudinal changes in access to preventive dental services: (i) the number of enrolments; (ii) the number of enrolled children with multiple fluoride varnishes delivered; (iii) the number of enrolled children with sealants placed; and (iv) the number of enrolled children receiving ART. RESULTS: The general longitudinal trend for programme enrolment and each of the preventive dental service delivery outcomes was similar. Children in communities with uninterrupted service tended to have the highest rates of enrolment and service delivery, which remained constant over time. Children in communities with sporadic service tended to have persistently low rates of enrolment and service delivery over the study period. CONCLUSIONS: Community health workers were beneficial in promoting programme enrolment, as well as facilitating and augmenting the delivery of preventive dental services.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".