Immigrant Healthcare Experiences and Impacts During COVID-19: A Cross-Sectional Study in Alberta, Canada
Bibliographic record
Abstract
Primary Health Care is a gateway of healthcare services. The COVID-19 pandemic has modified the process of delivering care. We aimed to assess Albertan's healthcare experiences during the pandemic and compared experiences between Albertans that were born in and outside Canada. A cross-sectional online survey (experiences and impacts of COVID-19) was conducted in October 2020, 16 years, and older Albertans. Descriptive statistics and multivariable logistic regression were performed using STATA. Of 10 175 study participants, 10% were born outside Canada. Demographics were significantly different between the 2 groups ( P < .05). Results revealed that Canadian-born were more likely to report worse mental and physical health status (AOR = 1.36; 95% CI: 1.17-1.56), and higher stress, anxiety, and depression during the pandemic (AOR = 1.37; 95% CI: 1.16-1.60) than those born outside Canada. However, Canadian-born reported a trend toward better virtual care experiences (AOR = 1.16; 95% CI: 0.94-1.44). Albertans reported negative health impacts due to delay in care during the pandemic and vaccine hesitancy for COVID-19, which was not significantly difference among the cohorts ( P > .05). The study findings can inform primary healthcare providers and policymakers that could be used to develop quality improvement strategies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".