Impact of Remoteness of Residence and Socioeconomic Status on Outcomes Among Children With Heart Disease in Alberta
Bibliographic record
Abstract
Background: There is a paucity of data regarding the impact of remoteness of residence (RoR) and socioeconomic status (SES) on access to care and outcomes for children with congenital heart disease (CHD) or acquired heart disease (AHD) in a jurisdiction of universal health and centralized cardiac care. Objectives: The primary objective was to examine whether RoR, SES, and their interaction impact access to health care and outcomes for children with heart disease in Alberta, Canada. Methods: This was a population-based study of children with CHD or AHD born between January 1, 2005, and December 31, 2017, in Alberta, Canada. Primary outcomes included age at diagnosis, time from diagnosis to intervention, number of annual primary care visits, annual cardiologist visits, annual emergency room visits, and survival. Multivariable Cox proportional hazards models identified independent associations. Longitudinal relationships between the number of annual physician visits and RoR and SES were assessed with multivariable Poisson models. Results: < 0.001) only for those with CHD. Conclusions: Age at diagnosis, time to intervention, annual primary care visits, and transplant-free all-cause survival were not impacted by RoR or SES in children with heart disease. Greater RoR and SES, however, were associated with fewer annual cardiology visits and increased annual emergency room visits, which highlights the need for novel surveillance strategies for remote pediatric patients with heart disease.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".