3.10-P12Immigration and dental health care-lessons learned from new Chinese immigrant families with young children (ages 0-6) in British Columbia, Canada
Bibliographic record
Abstract
Background: Dental caries is the most common chronic condition affecting young children (ages 0-6) worldwide, despite being mostly preventable through effective dental health care practices. Immigrant children are disproportionately affected by dental caries in both Canada and the U.S. This qualitative study examines multi-level factors influencing dental health care practices for young Chinese immigrant children in British Columbia, Canada. Methods: Chinese immigrant parents (n = 15), dental health professionals (n = 4) and social service providers (n = 3) were purposefully sampled and recruited through five community sites in Vancouver and Richmond, BC (March-June 2016). Semi-structured individual interviews were conducted. Verbatim transcription, open line-by-line coding, and thematic analysis were performed to analyse the interview data. Results: Key facilitators include: (1). Social network. Family members and friends support by being directly involved in care or giving advice (2). Community. Community dental programmes help families initiate and maintain effort in dental home care for children (3). Dental professionals. Visits to dental professionals are opportunities to solicit feedback and receive education on dental care. Major barriers include: (1). Knowledge and information. Receiving inconsistent messages on and lacking practical knowledge of when and how to start dental care for children (2). Economic concern. High cost and lacking dental insurance discourage access to professional dental care (3). Language and culture. Limited access to translated dental informational materials. Conclusions: Support needed: (1). Information. Wider distribution of translated consistent dental health care information, targeting first-time parents and the broader immigrant community (2). Insurance. Provision of public dental insurance for purchase at subsidised rates by income levels (3). Community. Increased engagement of parents through existing community networks and social media in early dental care for children. Main message: Increased support from government and community is needed to encourage and facilitate new immigrant parents in overcoming multi-layered challenges and attaining better dental health outcomes for children.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".