Use of telemedicine for haemodialysis in very remote areas: the Canadian First Nations
Bibliographic record
Abstract
We used a pre-post design to compare the health and care utilization of patients receiving telehaemodialysis services in two James Bay Cree communities. The Cree are an Amerindian First Nation living in the remote James Bay region. The same group of dialysed patients (n = 19) was followed longitudinally over a two-year period: 12 months pre and 12 months post. Analysis of variables measuring the patients' health conditions showed that the quality of care provided was well within recognized good practice guidelines. Repeated measures ANOVA on the variables measuring care utilization showed a significant decrease in the monthly number of medication changes over time (P < 0.01). Different telehaemodialysis models were used in the two communities (virtual patient rounds and telecase reviews with multidisciplinary teams), but they did not lead to differences in health condition or care utilization. This suggests that there is no single prescriptive model for the delivery of tele-expertise.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 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) | 0.002 | 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".