Health status of newly arrived refugees in Toronto, Ont: Part 2: chronic diseases.
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of selected chronic diseases among newly arrived refugee patients and to explore associations with key demographic factors. DESIGN: Retrospective chart review. SETTING: Primary care clinic for refugee patients in Toronto, Ont. PARTICIPANTS: A total of 1063 refugee patients rostered at the clinic from December 2011 to June 2014. MAIN OUTCOME MEASURES: Demographic information (age, sex, and region of birth) and prevalence of abnormal Papanicolaou test results, anemia, elevated blood pressure (BP), and markers of prediabetes or diabetes (elevated random glucose, fasting glucose, or hemoglobin A1c levels). RESULTS: More than half of our patients were female (56%) and the median age was 29 years. Patients originated from 87 different countries of birth. Top source countries were Hungary (210 patients), North Korea (119 patients), and Nigeria (93 patients). Most patients were refugee claimants (92%), as opposed to government-assisted refugees (5%). Overall, 11% of female patients who underwent Pap tests had abnormal cervical cytology findings, with the highest rates among women from Asia (26%, P = .028). The prevalence of anemia among children younger than 15 years was 11%; for children younger than 5 years the prevalence was 14%. Approximately 25% of women older than 15 years had anemia, with the highest rates among African women (37%, P < .001). Elevated BP was observed in 30% of adult patients older than 15 years, with higher prevalence among male patients (38%, P < .001) and patients from Europe (42%, P < .001). Laboratory markers of prediabetes or diabetes were identified in 8% of patients older than 15 years, with higher rates among patients from Europe (15%, P = .026). CONCLUSION: This study found a notable burden of chronic diseases among refugee patients, including anemia, elevated BP, and impaired glycemic control, as well as abnormal cervical cytology findings. These results underscore the importance of accessible, comprehensive primary care for refugees, with attention to prevention and management of chronic diseases in addition to management of infectious disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".