Duration of maternal mental health-related outcomes after an infant’s death: A retrospective matched-cohort study using linkable administrative data
Bibliographic record
Abstract
IntroductionMothers have increased mental illness such as anxiety and depression after the death of a child. Objectives and ApproachThe mental health of all mothers who experience the death of an infant (< 1 years old) in Manitoba, Canada between April 1, 1999, and March 31, 2011 (n = 534) is examined in the four years leading up to, and the four years following, the death of their child to determine how long increased levels of mental-health realted outcomes remain elevated after the death of an infant. Mental health-related outcomes of these mothers are compared with a matched (3:1) cohort of mothers who did not experience the death of a child (n = 1,602). ResultsCompared with mothers who did not experience the death of a child, mothers experiencing this event had higher rates of anxiety diagnoses and psychotropic prescriptions starting 6 months before the death. Elevated rates of anxiety continued for the first year and elevated rates of psychotropic prescriptions continued for six months after the death of the child. Mothers who experienced the death of a child had higher rates of depression diagnoses in the year after the death. Relative rates (RR) of depression (RR = 4.94), anxiety (RR = 2.21), and psychotropic medication use (RR = 3.18) were highest in the six months after the child’s death. Conclusion/ImplicationsElevated rates of depression, anxiety, and psychotropic medication use after the death of a child end within one year of the child’s death.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".