Faculty, Preceptor, and Students' Perceptions of the Need for Trauma-Informed Education
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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