Long-term Public Healthcare Burden Associated with Intimate Partner Violence among Canadian Women: A Cohort Study
Bibliographic record
Abstract
Abstract Intimate partner violence (IPV) is a major global health issue, yet few studies explore its long-term public healthcare burden in countries with universal healthcare systems. This study analyzes this burden among Canadian women using data from the Neighborhood Effects on Health and Wellbeing survey and Ontario Health Insurance Plan (OHIP) records from 2009-2020. We employed inverse probability weighting with regression adjustment to estimate differences in cumulative costs and OHIP billings between those reporting exposure to IPV during the survey and those who did not. Our sample included 1,094 women, with 38.12% reporting IPV exposure via the Hurt, Insult, Threaten, Scream scale. Findings show a significant public healthcare burden due to IPV: women reporting IPV in 2009 had an average of 17% higher healthcare costs and 41 additional OHIP billings (0.1732;95% CI: 0.0578-0.2886; 41.23;95% CI: 12.63-69.82). Policies prioritizing primary prevention and integration of trauma-informed care among healthcare providers are vital to alleviate the long-term burden on public health systems.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".