Intimate Partner Violence and Paramedicine: An Updated Scoping Review of Perspectives and Practices
Bibliographic record
Abstract
OBJECTIVES: Intimate partner violence (IPV) is increasingly being recognized as a clinical circumstance to which Emergency Medical Services (EMS) clinicians attend. IPV refers to the use of physical, sexual, psychological, and coercive violence by a current or former intimate partner to exert power and control. The intersection of paramedicine and IPV remains largely unclear. Our objective is to provide a comprehensive synthesis of the available evidence at the intersection of paramedicine and IPV. METHODS: This review followed a published protocol (Open Science Framework), and PRISMA-ScR guidelines. Co-developed with two trained librarians, a search strategy was used to locate potential articles in MEDLINE and CINAHL, and conduct a gray literature search. Included articles examined perceptions and/or practice of EMS clinicians and students in the context of IPV. Two reviewers screened titles and abstracts, then full texts. A third reviewer resolved any disagreement. Data were extracted from eligible articles using a purpose-built template and the findings were summarized and synthesized. RESULTS: Of the 518 articles, 34 met inclusion criteria. The literature was varied and heterogenous, preventing mass, detailed synthesis. Generally, EMS clinicians were motivated to assist IPV survivors but perceived their education as insufficient to provide high-quality care, reporting low rates of training/education with corresponding low self-efficacy. Considerations for the specific and unique environment of paramedicine were lacking. Standardized patients and/or simulations were beneficial for pre-practice students acquiring history gathering and interview skills. Jurisdictional variations in legislation, policy, and standards, as well as overlapping agency/department regulations introduced practice variance. The validity and utility of EMS clinician-collected surveillance data were unclear. CONCLUSIONS: While EMS clinicians were recognized as a poorly understood, under-utilized, and under-equipped resource for IPV survivors, current literature is insufficient to comprehensively guide practice. Heterogeneity and limited quantity contribute to this challenge. Future research should leverage newly developed and validated measures to identify gaps responsive to educational and/or policy interventions and explore novel technologies to improve the quality of EMS clinician-collected IPV data. Equipping EMS clinicians with the tools to provide high-quality IPV care will benefit IPV survivors, EMS clinicians, and health care more broadly.
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 | 0.000 | 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 | 0.001 |
| 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 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".