Impact of outreach education program on outcomes of neonates with hypoxic ischemic encephalopathy
Bibliographic record
Abstract
AIM: To evaluate the impact of outreach education targeting neuroprotection on outcomes of outborn infants with moderate-to-severe hypoxic ischemic encephalopathy (HIE). METHODS: A retrospective cohort study of infants admitted with moderate-to-severe HIE was conducted following the implementation of outreach education in January 2016. Key interventions were early identification and referral of infants with encephalopathy utilizing telemedicine and a centralized communication system, hands-on simulation, and interactive case discussion and dissemination of clinical management guidelines and educational resources. The association between the intervention and a composite outcome of death and/or severe brain injury on brain magnetic resonance imaging (MRI) was tested controlling for the confounding factors. RESULTS: Of 165 neonates, 37 (22.4%) died and/or had a severe brain injury. This outcome decreased from 35% (27/77) to 11% (10/88) following the implementation of outreach education (P<0.001). Eligible infants not undergoing therapeutic hypothermia within 6 hours from birth decreased from 19.5% (15/77) to 4.5% (4/88). The use of inotropes decreased from 49.3% (38/77) to 19.6% (13/88). Any core temperature below 33°C was recorded for 20/53 (38%) before and 16/78 (21%) after, while those within the target range of 33°C to 34°C at admission to a tertiary care facility increased from (15/53) 28% to (51/88) 58%. Outreach education was independently associated with decreased composite outcome of death and/or severe brain injury on MRI (adjusted odds ratio 0.2; 95% confidence interval 0.07 to 0.52). CONCLUSION: Outreach education targeting neuroprotection for infants with moderate-to-severe HIE was associated with a reduction in death and/or severe brain injury.
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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 | 0.000 | 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".