Exploring the Relationships Between Rehabilitation and Survivors of Intimate Partner Violence: A Scoping Review
Bibliographic record
Abstract
Intimate partner violence (IPV) is a public health crisis affecting one in three women and one in ten men in their lifetimes. Rehabilitation professionals are highly likely to encounter survivors of IPV in their practice; yet, there exists no formal review assessing the relationship between IPV and rehabilitation. Our objective was to understand the types and contexts of rehabilitation care currently available for survivors of IPV, opportunities identified in the literature for rehabilitation care, and IPV awareness and education among rehabilitation providers. A search strategy related to IPV and four rehabilitation professionals of interest (occupational therapy, physiotherapy, speech-language pathology/therapy, and physiatry) was developed across 10 databases and complemented by a gray literature search. Two reviewers independently assessed articles for inclusion. In all, 44 articles met inclusion criteria, ranging from primary research articles (48%) to clinical newsletters. Included articles predominantly focused on opportunities for rehabilitation care (68%) and occupational therapists as a profession (68%). A minority of studies examined specific interventions for IPV survivors (18%) or assessed for knowledge and attitudes about IPV (16%) among rehabilitation professionals. To our knowledge, this is the first scoping review exploring the rehabilitation literature for IPV survivors. These findings show an awareness of IPV among rehabilitation professionals, the importance of identifying IPV in clients, and the ways in which rehabilitation professionals are uniquely situated to support survivors of IPV. There remains an opportunity to explore interventions designed specifically for IPV survivors.
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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 | 0.011 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.021 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".