Domestic Violence in Pregnancy-Related Death: A Novel Use of Coroner and Criminal Data in Clark County, Nevada [9N]
Bibliographic record
Abstract
INTRODUCTION: Existing studies in the literature analyze self-reported domestic violence in pregnant women which may be underestimated in this vulnerable population. Our study explores novel use of autopsy in combination with criminal data to understand domestic violence trends in unnatural deaths in pregnant women. METHODS: Retrospective review of women referred to the Clark County medical examiner from 2000-2015 was conducted. Pregnancy was confirmed by autopsy diagnosis, and criminal records were obtained from the Clark County District Attorney's Office. Statistical analysis was performed using student t-test for continuous variables and chi-square for categorical variables. RESULTS: 7215 women in total were referred to the Clark County medical examiner. 67 women were found to be pregnant at the time of autopsy. 55% of the women that were pregnant at the time of death were victims of pregnancy-related unnatural death (PRUD). 27% of women who were victims of PRUD filed charges of domestic violence against their partners versus 3% who were victims of natural death (p=0.02). Also, 71% (n=5) of women >30 years were victims of PRUD filed charges of domestic violence compared with 13% of women <30 years (n=3) (p=0.04). The most common manner of death among the PRUD group was suicide in 35% (n=13) and 32% (n=12) had a criminal record. CONCLUSION: Domestic violence is significantly more prevalent in PRUD than in those who die of natural death. Further, older victims of PRUD were significantly more likely to file charges for domestic violence. The causes underlying these trends are unclear and deserve further attention and study.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".