63 A Needs Assessment of Syrian Refugee Families Regarding a Children & Youth Health Promotion Program in Arabic
Bibliographic record
Abstract
Abstract Background Refugee families, particularly children and youth, are considered a vulnerable population. They face many health concerns, including barriers to accessing the healthcare system, which may stem from lack of familiarity with the health care system. Despite the great efforts Canada is putting forward to address newcomer needs, there are limited health promotion efforts directed at Arabic-speaking refugee families, particularly in the wake of the influx of Syrian families since 2015. In fact, there is a lack of well-structured, evidence-based, health promotion program, specifically focusing on Arabic-speaking refugee children and youth. Objectives Design/Methods We took a qualitative approach, in which semi-structured interviews were audio-recorded, transcribed, translated, coded and analyzed using a qualitative framework technique. Six focus groups were conducted, in which a total of 25 Arabic-speaking refugee parents were interviewed by Arabic-speaking interviewers. Results Among the 25 participants, 18 reported that they were not aware of existing health promotion presentations in our local area. Moreover, none of the 7 participants who were aware of such presentations have ever attended any. The major reason reported is not being invited to attend. Additionally, of the 25 participants, 24 have expressed their desire of having a child and youth health promotion program in Arabic. Among the most requested topics to be presented include medication coverage and pharmacy access in Canada, first-aid management, dental care, interpretation services, healthy lifestyle, fever measurement and management, prevention of unintentional injuries, navigating the Canadian healthcare system and mental health. Moreover, several factors were described to facilitate the families’ attendance to the health promotion presentations. These include presenting about topics of relevance to the refugee families, having the presentations in Arabic, providing parking spaces, having someone to accompany the families’ children during the presentations, arranging the presentations over the weekend or after 5 pm during the weekdays and holding the presentations in a place close to where the families live. Conclusion Arabic-speaking refugee families describe strong interest in attending in-person health promotion sessions in Arabic, focusing on child and youth health, and outline diverse topics of interest.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".