The Importance of Trauma-Informed Care: A Call to Action for Physical Therapist Practice, Education, Research, and Advocacy
Bibliographic record
Abstract
Trauma exposure is associated with a host of biopsychosocial effects, including premature mortality, compromised physical/mental health, substance misuse, and addiction; 90% of American adults report at least one significant lifetime traumatic incident. Disparate trauma exposure among people with physical disabilities, lower socioeconomic status, rural residence, and/or racial/ethnic minority status creates a strong rationale supporting trauma-informed care (TIC) in promoting health equity. Although physical therapist (PT) practice, education, and research do not routinely integrate TIC, public health needs and the opportunity to advance health equity compel greater professional involvement in addressing trauma and its impact on overall wellness. This perspective describes (1) the biopsychosocial impact of trauma; (2) screening and assessment of trauma exposure and its impact; (3) TIC in physical therapy practice; (4) the impact of unaddressed trauma; and 5) TIC in physical therapy education, research, and advocacy. Physical therapy professionals should apply this information to address the gap in trauma-informed care for individuals, families, groups, and communities.
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.
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 | 0.002 | 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 | 0.000 |
| 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".