Implementation of Universal Screening for Domestic Violence in an Urgent Care Community Health Center
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Given the morbidity and mortality associated with domestic violence (DV), there is international recognition that the health sector has a responsibility to prevent violence. In North America, the health sector has commonly responded by developing protocols for identifying victims of abuse. This utilization-focused evaluation describes the process involved in the implementation of a universal DV screening protocol undertaken by nurses in the urgent care clinic of a community health center. Dealing with the challenges of the urgent care setting, the strong and supportive urgent care team approach helped integrate the screening procedure into routine nursing practice. Understanding the purpose of asking about DV, quickly recognizing problems, validating staff concerns, and adapting procedures resulted in a strong commitment to implementation. This research has implications for others looking to implement or evaluate screening protocols in other health care settings.
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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 | 0.003 | 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 it