Validation and adaptation of the danger assessment‐5: A brief intimate partner violence risk assessment
Bibliographic record
Abstract
AIMS: The aim of this study was to assess the predictive validity of the DA-5 with the addition of a strangulation item in evaluating the risk of an intimate partner violence (IPV) victim being nearly killed by an intimate partner. BACKGROUND: The DA-5 was developed as a short form of the Danger Assessment for use in healthcare settings, including emergency and urgent care settings. Analyzing data from a sample of IPV survivors who had called the police for domestic violence, the DA-5 was tested with and without an item on strangulation, a potentially fatal and medically damaging IPV tactic used commonly by dangerous abusers. DESIGN: Researchers interviewed a heterogeneous sample of 1,081 women recruited by police between 2009-2013 at the scene of a domestic violence call; 619 (57.3%) were contacted and re-interviewed after an average of 7 months. METHODS: The predictive validity of the DA-5 was assessed for the outcome of severe or near lethal IPV re-assault using sensitivity, specificity and ROC curve analysis techniques. RESULTS: The original DA-5 was found to be accurate (AUC = .68), equally accurate with the strangulation item from the original DA substituted (AUC = .68) and slightly more accurate (but not a statistically significant difference) if multiple strangulation is assessed. CONCLUSION: We recommend that the DA-5 with the strangulation item be used for a quick assessment of homicide or near homicide risk among IPV survivors. A protocol for immediate referral and examination for further injury from strangulation should be adopted for IPV survivors at high risk.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".