Factors associated with postpartum psychiatric admission in a population‐based cohort of women with schizophrenia
Bibliographic record
Abstract
OBJECTIVE: We aimed to identify factors associated with postpartum psychiatric admission in schizophrenia. METHOD: In a population-based cohort study of 1433 mothers with schizophrenia in Ontario, Canada (2003-2011), we compared women with and without psychiatric admission in the 1st year postpartum on demographic, maternal medical/obstetrical, infant and psychiatric factors and identified factors independently associated with admission. RESULTS: Admitted women (n = 275, 19%) were less likely to be adolescents, more likely to be low income and less likely to have received prenatal ultrasound before 20 weeks gestation compared to non-admitted women. They also had higher rates of predelivery psychiatric comorbidity and mental health service use. Factors independently associated with postpartum admission were age (<20 vs. ≥35 years: adjusted risk ratio, aRR, 0.48, 95% CI 0.24-0.96), income (lowest vs. highest income: aRR 1.67, 1.13-2.47) and the following mental health service use factors in pregnancy: admission (≥35 days/year vs. no days, aRR 4.54, 3.65-5.65), outpatient mental health care (no visits vs. ≥2 visits aRR 0.35, 0.27-0.47) and presence of a consistent mental health care provider during pregnancy (aRR 0.69, 0.54-0.89). CONCLUSION: Certain subgroups of women with schizophrenia may benefit from targeted intervention to mitigate risk for postpartum admission.
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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".