Tuberculosis-related hospital use among recent immigrants to Canada.
Bibliographic record
Abstract
BACKGROUND: While the incidence of active tuberculosis (TB) in Canada is among the lowest in the world, the rates of TB among immigrants and Indigenous people remain high. In fact, the majority of new active TB cases are disproportionately found among immigrants. This study profiles TB-related acute care hospitalizations among new immigrants to Canada by selected characteristics. DATA AND METHODS: This study is based on the 2000-to-2013 Longitudinal Immigration Database (IMDB) linked to the Canadian Institute for Health Information's Discharge Abstract Database (DAD) from 2001/2002 to 2013/2014. It examines the timing of first TB-related acute care hospitalization occurring from the fiscal year 2001/2002 to the fiscal year 2013/2014 among immigrants who landed in Canada from 2000 to 2013 outside of Quebec and the territories. Mean and median hospital days and the percentage of total TB hospitalizations incurred by these new immigrants are calculated to measure the burden of hospital care among recent immigrants. RESULTS: From 2001/2002 to 2013/2014, 1,120 out of 2.7 million immigrants arriving between 2000 and 2013 were found to have, in total, 1,340 TB-related hospital discharges. The majority of cases (97%) were among immigrants from the Immigration, Refugees and Citizenship Canada (IRCC) designated country list for TB, in which abour three quarters of the cases were from the World Health Organization (WHO) list of high TB-burden countries. Approximately half (45%) of immigrants hospitalized for TB were aged 18 to 34 at the time of hospitalization. Around 10% of all TB patients had been hospitalized before formally landing as immigrants. Mean and median length of hospital stay were 17 days and 11 days, respectively (22 days and 14 days, respectively, for the overall population in Canada). While new immigrants who landed between 2000 and 2013 represent 7% of the overall population of Canada, they incurred 17% of all TB-related hospital discharges occurring during this period. DISCUSSION: This paper demonstrates the value of linked administrative data to understanding immigrant health and is important for future work in this area. Current immigration protocols surrounding TB involve screening for active pulmonary TB and identifying some migrants with latent TB. Results of this study, linking TB-related hospitalizations to immigrant landing files, provide unique information that can inform public health action, as well as migration policy and program development to contribute to the efforts to eliminate TB.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".