Evaluation of Strongyloides Awareness and Knowledge among Canadian Physicians Caring for Patients At Risk for Severe Strongyloidiasis: A National Cross-sectional Survey
Bibliographic record
Abstract
In Canada, a substantial proportion of migrants come from strongyloidiasis-endemic regions. Systematic screening for Strongyloides is not performed in immunocompromised patients in whom this infection could be potentially fatal. We aim to assess the level of Strongyloides awareness and knowledge among Canadian physicians caring for immunocompromised patients and identify factors currently associated with screening. Using an online survey distributed through Canadian medical associations, we collected information on physicians' demographics, practice setting, overall awareness and knowledge of Strongyloides, and current practices. Descriptive analysis and logistic regression models were performed to identify the factors associated with Strongyloides screening. Nineteen national and provincial medical associations agreed to participate. Between November 2020 and August 2021, 368 of 5,194 (7%) physicians that were contacted responded to our survey. Quebec (46%) and Ontario (24%) were the most responsive. Sixty-nine percent of respondents practiced medicine in academic settings. Infectious disease (ID) specialists/medical microbiologists (38%) followed by nephrologists (33%) were the most represented. Most respondents (95%) had heard about Strongyloides. However, 36% of non-ID specialists considered themselves unfamiliar. Forty percent of respondents did not or rarely performed screening for strongyloidiasis in high-risk populations. Screening was associated with younger-aged physicians (odds ratio [OR] 2.35; 95% confidence interval [CI] 1.07-5.18), physicians who frequently served migrants (OR 3.33; 95% CI 1.44-7.66), or those who had training in global health and ID/medical microbiology (OR 3.71; 95% CI 1.21-11.34 and OR 46.42; 95% CI 15.89-135.59, respectively). Our survey suggests a general lack of knowledge of Strongyloides among Canadian physicians that is associated with low rates of screening in high-risk populations.
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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 | 0.001 | 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 | 0.000 | 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".