7.10-P1The health care needs and life experiences of adult refugees in Canada: a comprehensive scoping review to identify unmet needs and barriers
Bibliographic record
Abstract
Background: About 26,000 refugees have resettled annually in Canada over the last 10 years, with efforts to resettle nearly 56,000 Syrian refugees by 2017. Although resettlement allows for refugees to live in a safer place, there are many health issues that accompany this drastic life change. Despite diverse health risks associated with migration, there is no comprehensive examination of the unique health care needs of refugees in Canada. The purpose of this study was to examine the literature on the health care needs and life experiences of refugees in Canada. Methods: The search strategy was designed to answer the research question: “What are the health care needs and life experiences of adult refugees in Canada?” The following bibliographic databases were systematically searched: PubMed, PsycINFO, CINAHL, EMBASE and MEDLINE. Included articles were those published between January 2006 and June 2016 and which included data on refugee health, access to services, or life experience of refugees. Review articles, news/editorials, and grey literature were excluded. Findings were analysed in-depth to generate emergent themes and synthesise common findings. Results: The review found 25 relevant articles on health care needs of refugees and 26 articles on life experiences of refugees. Dominant health care needs were related to physical health, mental health, women’s health, and access to services. Main challenges included loss or change in identity, language barriers, and perceived lack of support and discrimination. Conclusions: Pre-migration exposures, culture and language differences, and limited social support have combined and compounding effects on health of refugees. Future interventions should aim to improve cultural competency of health professionals to better address these health needs. Main messages: This comprehensive review highlights the complex and unmet health care needs of refugees in Canada. Differences in language, culture, and social support lead to challenges accessing health services among refugees in Canada.
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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 | 0.007 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.022 | 0.028 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".