Innovation in the North: Are Health Service Providers Ready for the Uptake of an Internet-based Chronic Disease Management Platform?
Bibliographic record
Abstract
Remote and rural regions in Canada are faced with unique challenges in the delivery of primary health services. The purpose of this study was to understand how patients and healthcare professionals in northern British Columbia might make use of the Internet to manage cardiovascular diseases. The study used a qualitative methodology. Eighteen health professionals and 6 patients were recruited for a semi-structured interview that explored their experience in managing patients with cardiovascular disease and their opinions and preferences about the use of the Internet in chronic disease management. Key findings from the data suggest that a) use of the Internet helps to maintain continuity of care while a patient moves through various stages of care, b) the Internet may possibly be used as an educational tool in chronic disease self-management, c) there is a need for policy development to support Internet-based consultation processes, and d) while health providers endorse the notion of electronic advancement in their practice, the need for secure and stable electronic systems is essential.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".