Transitioning in hydrocephalus: Current practices in Canadian Paediatric Neurosurgery centres
Bibliographic record
Abstract
INTRODUCTION: Advances in perinatal care in the developed world have resulted in more children living into adulthood with complex chronic health conditions. Transition is a process to improve and maximize the functional status of adolescents via the provision of adequate and appropriate health services in adulthood. This process is frequently disjointed, fragmented and inconsistent and inadequate transition increases morbidity, hospital admissions and urgent interventions. Ten thousand children are diagnosed with hydrocephalus annually in North America. Most survive to adulthood yet there are few transitioning programs and little research data on successful programs for this population. METHODS: An email survey of paediatric neurosurgical centres in Canada was carried out to establish current transition practices and attitudes for adolescents with hydrocephalus. Data were analyzed descriptively. RESULTS: Eleven out of 12 centres responded. The age of transition ranged from 16 to 18 years. Four centres have access to a dedicated Adult Hydrocephalus Clinic. Referral practices vary between centres and we highlight inconsistencies in care to this cohort of patients in Canada. There is little satisfaction among neurosurgeons with current transition arrangements in Canada. Several suggestions were made on how to improve this process. CONCLUSION: We recommend research into the needs of patients with hydrocephalus in order to formalize appropriate standards for transitioning patients with a view to developing national guidelines to standardize the transition process. This will require input from patients, families and the wider medical and allied health professional groups.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".