Outcomes of Neonates With Complex Medical Needs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Children with complex medical needs (CMN) are high healthcare resource utilizers, have varying underlying diagnoses, and experience repeated hospitalizations. Outcomes on neonatal intensive care (NICU) patients with CMN are unknown. PURPOSE: The primary aim is to describe the clinical profile, resource use, prevalence, and both in-hospital and postdischarge outcomes of neonates with CMN. The secondary aim is to assess the feasibility of sustaining the use of the neonatal complex care team (NCCT). METHODS: A retrospective cohort study was conducted after implementing a new model of care for neonates with CMN in the NICU. All neonates born between January 2013 and December 2016 and who met the criteria for CMN and were cared for by the NCCT were included. RESULTS: One hundred forty-seven neonates with a mean (standard deviation) gestational age of 34 (5) weeks were included. The major underlying diagnoses were genetic/chromosomal abnormalities (48%), extreme prematurity (26%), neurological abnormality (12%), and congenital anomalies (11%). Interventions received included mechanical ventilation (69%), parenteral nutrition (68%), and technology dependency at discharge (91%). Mortality was 3% before discharge and 17% after discharge. Postdischarge hospital attendances included emergency department visits (44%) and inpatient admissions (58%), which involved pediatric intensive care unit admissions (26%). IMPLICATIONS FOR PRACTICE: Neonates with CMN have multiple comorbidities, high resource needs, significant postdischarge mortality, and rehospitalization rates. These cohorts of NICU patients can be identified early during their NICU course and serve as targets for implementing innovative care models to meet their unique needs. IMPLICATIONS FOR RESEARCH: Future studies should explore the feasibility of implementing innovative care models and their potential impact on patient outcomes and cost-effectiveness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it