Therapeutic Hypothermia on Transport: The Quest for Efficiency: Results of a Quality Improvement Project
Bibliographic record
Abstract
Introduction: Therapeutic hypothermia (TH) within 6 hours after birth is known to improve both survival and neurodevelopmental outcomes in neonates with hypoxic ischemic encephalopathy (HIE). Meeting this recommended target temperature for neonates who require transport for TH treatment can be complex for various reasons. This study aimed to reduce the time from birth to the initiation of TH and target temperature, thereby increasing the proportion of transported neonates reaching target temperature within 6 hours to >50%. Methods: We evaluated the effect of three quality improvement interventions, including revised transport team processes, outreach education/resources, and the use of a servo-controlled cooling device on land transports. We compared key outcome TH metrics for cohorts before and after implementation. Results: The study team compared baseline data for 77 to 102 neonates born between 2009 and April 2015 (preintervention) and September 2015 and September 2020 (postintervention(s)). We observed reductions in both the time from birth to the initiation of passive cooling (38%) and time to reach target TH temperature (23%), with an increase in the proportion of neonates reaching target temperature by 6 hours of age from 50% to 71%. Conclusions: We used quality improvement methodology to identify key areas for intervention(s) and improvement. Targeted interventions have successfully and consistently improved the timing and delivery of TH to neonates with hypoxic ischemic encephalopathy within the transport environment, with a 20% increase in neonates reaching target temperature by 6 hours of age.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".