Treatment Guideline Nonadherence Pretransport Associated With Need for Higher Level of Care in Children Transferred to a Pediatric Tertiary Care Center for Status Epilepticus
Bibliographic record
Abstract
OBJECTIVES: We sought to investigate the association between adherence to the American Epilepsy Society (AES) 2016 guidelines for management of convulsive status epilepticus (SE) and clinical outcomes among children requiring interhospital transport for SE. We hypothesized that pretransport guideline nonadherence would be associated with needing higher level of care posttransfer. METHODS: This was a retrospective cohort study of children aged 30 days to 18 years transferred to our pediatric tertiary center from 2017 to 2019 for management of SE. Their care episodes were classified as 2016 American Epilepsy Society guideline adherent or nonadherent. There were 40 referring hospitals represented in this cohort. RESULTS: Of 260 care episodes, 55 (21%) were guideline adherent, 184 (71%) were guideline nonadherent, and 21 (8%) had insufficient data to determine guideline adherence. Compared with the adherent group, patients in the nonadherent care group had longer hospitalizations (32 hours [17-68] vs 21 hours [7-48], P = 0.006), were more likely to require intensive care unit admission (47% vs 31%), and less likely to be discharged home from the emergency department (16% vs 35%; χ 2 test, P = 0.01). Intubation rates did not differ significantly between groups (25% vs 18%, P = 0.37). When we fit a multivariable model to adjust for confounding variables, guideline nonadherence was associated with need for higher level of care (odds ratio, 2.04; 95% confidence interval, 1.04-3.99). Treatment guideline adherence did not improve over the 3-year study period (2017: 22%, 2018: 19%, 2019: 29% [χ 2 test for differences between any 2 years, P = 0.295]). CONCLUSIONS: Guideline nonadherence pretransport was associated with longer hospitalizations and need for higher level of care among children transferred for SE at our institution. These findings suggest a need to improve SE guideline adherence through multifaceted quality improvement efforts targeting both the prehospital and community hospital settings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".