Faculty, Preceptor, and Students' Perceptions of the Need for Trauma-Informed Education
Bibliographic record
Abstract
BACKGROUND: The widespread physical, mental, and emotional health impacts of trauma are well established. Trauma-informed care (TIC) is an approach that uses knowledge about trauma and its effects to create safe care environments. PURPOSE: Using a concurrent mixed-methods design, this study assessed faculty, preceptor, and students' perceptions about the need for TIC content in nursing education. METHODS: Semistructured interviews were conducted with 15 faculty, and cross-sectional survey data were collected from a nonprobability sample of 99 nursing students at a large Midwestern university to evaluate the need for education on TIC. RESULTS: Faculty and preceptors stressed the importance of education on TIC and discussed barriers and facilitators to implementation. Nursing students reported that it is important to learn about TIC, yet do not feel prepared to provide TIC. CONCLUSIONS: The results illustrate the need for nursing content on TIC and provide recommendations for trauma-informed educational practices.
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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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".