Domestic violence: level of training, knowledge base and practice among Milwaukee physicians.
Bibliographic record
Abstract
BACKGROUND: Domestic violence is a prevalent problem with significant health consequences. Early recognition and appropriate intervention with referral to local domestic violence agencies can be life-saving. Little is known, however, about the current level of training, knowledge base and attitudes of physicians in this area. METHODS: A survey was sent to 1300 physicians practicing in Milwaukee County in the following specialties: Family Practice, Internal Medicine, OB/GYN, Psychiatry. Demographic information was obtained. Questions were designed to explore attitudes towards domestic violence, frequency of encounters with victims or abusers, and knowledge of resources and appropriate intervention. RESULTS: Of the 192 respondents, 74% reported having some training in domestic violence. Thirty percent reported seeing victims in their practice on a daily or weekly basis. Seventy percent feel able to identify a victim of domestic violence. Less than a third of respondents screened at least half of the patients they see for the possibility of abuse. Less than half always refer victims to a hotline or shelter, and less than a quarter of the respondents discuss safety plans with victims. A potentially dangerous response is telling a victim not to go back to an abuser without providing referrals and safety supports. In spite of this, almost a quarter of respondents always tell a victim to not go back to the abuser. Family practitioners and psychiatrists were more likely to discuss abuse with patients than were internists. CONCLUSION: Significant numbers of physicians, in Milwaukee County, practicing certain specialties that potentially have a high rate of contact with domestic violence victims have had insufficient training in domestic violence assessment and intervention. Physicians should be familiar with the domestic violence hotlines and shelters in their communities and need to incorporate screen questions for domestic violence into their regular practice.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".