Avoidable mortality among parents whose children were placed in care in Sweden: a population-based study
Bibliographic record
Abstract
BACKGROUND: Separation from one's child can have significant consequences for parental health and well-being. We aimed to investigate whether parents whose children were placed in care had higher rates of avoidable mortality. METHODS: Data were obtained from the Swedish national registers. Mortality rates among parents whose children were placed in care between 1990 and 2012 (17 503 mothers, 18 298 fathers) were compared with a 1:5 matched cohort of parents whose children were not placed. We computed rate differences and HRs of all-cause and avoidable mortality. RESULTS: Among mothers, deaths due to preventable causes were 3.09 times greater (95% CI 2.24 to 4.26) and deaths due to amenable causes were 3.04 times greater (95% CI 2.03 to 4.57) for those whose children were placed in care. Among fathers, death due to preventable causes were 1.64 times greater (95% CI 1.32 to 2.02) and deaths due to amenable causes were 1.84 times greater (95% CI 1.33 to 2.55) for those whose children were placed in care. Avoidable mortality rates were higher among mothers whose children were young when placed in care and among parents whose children were all placed in care. CONCLUSIONS: Parents who had a child placed in out-of-home care are at higher risk of avoidable mortality. Interventions targeting mothers who had a child aged less than 13 placed in care, and parents whose children were all placed in care could have the greatest impact in reducing avoidable mortality in this population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".