Evaluation of a pilot paediatric concussion telemedicine programme for northern communities in Manitoba
Bibliographic record
Abstract
Pediatric concussion patients living in northern communities in Canada can face unique challenges accessing primary and specialized healthcare. In this study we report the clinical characteristics, healthcare utilization, outcomes and estimated cost avoidance associated with a pilot pediatric concussion telemedicine program established between a multi-disciplinary pediatric concussion program in Winnipeg, Manitoba and a hospital in Thompson, Manitoba. From October 1st- July 1st, 2018, 20 patients were evaluated; mean age 13.1 years, 15 (75%) males and 14 (70%) self-identified as Indigenous. Injury mechanisms included hockey (50%), falls (35%) and assaults (15%). Median time from referral to initial consultation was 2.0 days. After screening by the neurosurgeon, 90% of patients underwent initial consultation via real-time videoconferencing with 80% managed exclusively through telemedicine. At the end of the study, 90% met the criteria for clinical recovery, one remained in treatment and one was discharged to a headache neurologist. Sixty-six telemedicine encounters were completed including 57 videoconferencing appointments and 9 telephone follow-ups representing an estimated cost avoidance of $40,972.94. This study suggests telemedicine may be a useful approach to assist pediatric concussion programs with delivering timely, safe and cost-effective care to patients living in medically underserviced remote and northern communities in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".