Adjusting the Canadian Healthcare System to Meet Newcomer Needs
Bibliographic record
Abstract
Newcomers' ability to access healthcare can be impacted by cultural, religious, linguistic, and health status differences. A variety of options are available to support the development of healthcare systems to equitably accommodate newcomers, including the use of basic English and other languages in public health information, engagement with immigrant communities to advise on program development, offering culturally competent health services, interpretation services, and through creating space to collaborate with traditional practitioners. This study employed in-depth interviews with newcomer families from the Healthy Immigrant Children Study that had been living in Regina or Saskatoon, Saskatchewan, Canada, for less than 5 years, as well as with healthcare providers and immigrant service providers to understand how to improve healthcare services. Analysis of participant quotes related to accessible healthcare services revealed five main themes: (1) responsive, accessible services, (2) increasing cultural competence, (3) targeted newcomer health services, (4) increasing awareness of health services, and (5) newcomer engagement in planning and partnerships. An accessible healthcare system should include primary healthcare sites developed in partnership with newcomer service organizations that offer comprehensive care in a conveniently accessible and culturally responsive manner, with embedded interpretation services. The Saskatchewan healthcare system needs to reflect on its capacity to meet newcomer healthcare needs and strategically respond to the healthcare needs of an increasingly diverse population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".