School Nurse Perspectives on Do-It-Yourself Automated Pancreas Systems in the School Setting
Bibliographic record
Abstract
Do-it-yourself (DIY) artificial pancreas systems (APSs) are gaining popularity among children with type 1 diabetes. Little is known about how school systems provide care for children who use DIY APSs, and available guidance for schools is limited. This study explored school staff perspectives on DIY APSs through a national survey of school nurses about their current practices, beliefs, and attitudes toward DIY APSs. Although one-quarter (23%) of school nurses reported experience with DIY APSs in school, nearly half (46%) had no prior knowledge of this new technology. The majority (82%) reported that children should be allowed to use DIY APSs in school, although there was less consensus about school nurse responsibilities with these devices. Qualitative responses added context regarding potential barriers, including the need for more informed guidelines and training and fears of liability. Future development of school guidelines for DIY APSs is necessary and should incorporate stakeholder perspectives.
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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 | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".