Current Practices and Nurse Readiness to Implement Standardized Screening for Commercially and Sexually Exploited Individuals in Emergency Departments in Western Washington Hospitals
Bibliographic record
Abstract
Approximately 80% of trafficked individuals access health care during their victimization. The emergency department is a frontline of care. This study examines current screening practices of Western Washington emergency department nurses to determine nurse and facility readiness for improved identification. Interviews were conducted with nurses to understand their current screening practices for identifying potential victims of sexual exploitation; the acceptability of existing screening questions for use in their settings; and their opinions about the utility of a standardized screening tool for identifying victims and improving care. There is an absence of formal protocols and screening tools, limited clarity regarding roles and responsibilities in the identification and care of trafficked persons among the health care team, and a desire to provide improved care quality to patients. Standardized processes and screening may lead to more efficient and effective identification of, care for, and linkage to vital support services and resources.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".