How a shared humanity model can improve provider well-being and client care: An evaluation of Fraser Health’s Trauma and Resiliency Informed Practice (TRIP) training program
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
Stress in the healthcare sector is an important concern, with worrying trends in provider burnout, secondary traumatic stress, and lower mental health. Importantly, provider stress is also connected to patient care, with recent research on Canada’s opioid crisis finding that compassion satisfaction and burnout are linked to the perpetuation of negative attitudes and behaviours towards people with opioid use problems. In 2017, the Fraser Health Authority developed a training program for direct service providers designed to address this important connection—a mental health and resiliency program based in the principles of trauma-informed practice and care. This article reports the results of an evaluation of this program. Findings suggest that embedding resiliency and self-compassion within trauma-informed training programs is a promising approach for cultural change in healthcare practice. Leaders are encouraged to explore how such a model may be implementable for their own organizations and departments.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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