Health promotion and research in the Chinese community in Montreal: A model of culturally appropriate health care
Bibliographic record
Abstract
In the past three decades, rapidly changing demographic characteristics have been witnessed in western society. Concurrently, numerous culture-related studies have attested to the disparity in health services among different ethnic groups. Reports have shown contributing factors that can render main stream services inaccessible to immigrants include cultural and language barriers, adaptation difficulties, racial discrimination and lack of culturally appropriate psychosocial services. Inadequate training of health professionals regarding cross-cultural issues may hinder patient compliance and therapeutic alliances. In a paediatric practice in Montreal, prevalent health problems among Chinese families were identified to be related to cultural beliefs and psychosocial factors. These included a low breastfeeding rate (8%) among Chinese newborns, prevalent iron deficiency anemia (12%), nursing caries, social isolation, delayed diagnosis of developmental delay, learning disabilities and psychosocial problems. The participation in community research and advocacy, the development of health promotional projects with an interdisciplinary approach and the preparation of Chinese health information such as perinatal programs, infant nutrition, dental hygiene and immunization, were described. Subsequent studies in this population illustrated an increased breastfeeding rate (48%), decreased incidence of iron deficiency (2.8%) and improved self-health maintenance practices. More culturally appropriate allied health services, including the Multiculturalism Department in the Montreal Children's Hospital, have subsequently been developed for the community.In summary, identifying prevalent health problems of ethnic propensity may be the initiatives needed to develop research and health promotional projects for a target population. Comprehensive health care to different ethnic groups requires health professionals to incorporate cross-cultural issues in their 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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".