Predictors of Hospital Readmission of Manitoba Newborns Within Six Weeks Postbirth Discharge: A Population-Based Study
Bibliographic record
Abstract
OBJECTIVES: To examine the proportion, geographic variation, and predictors of infant hospital readmission within 6 weeks of the postbirth discharge. METHODS: A cross-sectional, population-based study was conducted of all infants who were born from 1997 through 2001, linkable to the birth mother, and discharged alive from the hospital (N = 68 681) using hospital discharge files in the Canadian province of Manitoba. The following predictors of readmission were examined using logistic regression: preterm, low birth weight, neighborhood income, geographic location (the North, Rural South, and Urban areas of Winnipeg and Brandon), breastfeeding status, length of stay, maternal age, and type of delivery. Using 9 non-Winnipeg regions and 12 Winnipeg subregions, ecologic correlations (1-tailed Spearman) between newborn hospital readmission rates and the following were examined: 1) a region's overall health status, measured by the premature mortality rate (PMR), or death before aged 75 years and 2) a region's socioeconomic risk, using the Socio-Economic Factor Index (SEFI). RESULTS: The proportion of infants who were readmitted to the hospital at least once within 6 weeks of postbirth hospital discharge was 3.95%, with respiratory illness the leading cause (22.3% of readmissions). Risk of readmission was higher for infants who were born preterm (adjusted odds ratio [AOR]: 1.80; 95% confidence interval [CI]: 1.55-2.10), who were of the 3 lowest income quintiles (lowest: AOR: 2.02; 95% CI: 1.77-2.32; low: AOR: 1.48; 95% CI: 1.29-1.71; middle: AOR: 1.26; 95% CI: 1.08-1.47), who resided in the North (AOR: 1.85; 95% CI: 1.66-2.07) or Rural South (AOR: 1.25; 95% CI: 1.14-1.36), who were not breastfed (AOR: 1.32; 95% CI: 1.20-1.44), whose mother's age was 17 or younger (AOR: 1.30; 95% CI: 1.10-1.55), whose mother was 18 to 19 years of age (AOR: 1.25; 95% CI: 1.09-144), or who were born by cesarean section (AOR: 1.30; 95% CI: 1.19-1.43). Regional readmission rates were correlated with PMR (9 non-Winnipeg regions: r = 0.77 for PMR and r = 0.68 for SEFI; 12 Winnipeg Community Areas: r = 0.49 for PMR and r = 0.73 for SEFI). CONCLUSIONS: Income and geography are strongly associated with newborn hospital readmission. Modifiable risk factors include increasing breastfeeding rates, decreasing cesarean section rates, and decreasing adolescent pregnancy rates (or increasing adolescent parental support), but these need additional study to establish causation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".