Roles of dentistry in identifying and supporting individuals who have experienced gender-based violence: a scoping review
Bibliographic record
Abstract
Background: Gender-based violence (GBV) is a significant public health concern affecting one in three women globally. GBV is deeply rooted in gender inequality and societal constructs of gender roles, which significantly contribute to its prevalence and impact on women. Injury to the head, face, and neck, including broken teeth and jaws, is common in GBV, as is dental neglect, indicating a role for dental care. However, the impact of maxillofacial injuries or poor oral health and the role dental professionals may play in supporting individuals experiencing GBV are often overlooked. This review aimed to explore the research question: What is known in the literature about the roles of dentistry in identifying and supporting individuals who have experienced GBV? Approach: A search strategy including dental care and GBV-related text words and subject headings was developed and run across seven databases. Searches were not limited by date, location, or language. Articles were eligible for inclusion if they (1) described or evaluated provision of, need for, or outcomes of dental care; AND (2) focused on individuals who had experienced GBV aged 18+. Data were extracted from articles meeting inclusion criteria and narrative synthesis used to describe and synthesise findings. Results: 84 articles met inclusion criteria, predominantly published in the United States and focused on dental care providers' knowledge, perceptions, and actions related to GBV. Only four identified articles looked at dental care interventions tailored to GBV. Individuals who experienced GBV were found to experience high rates of maxillofacial injury because of the violence. They also reported more oral health issues, negative perceptions of their teeth, and irregular dental visits than individuals who have not experienced GBV. Dental professionals were generally underprepared to support individuals experiencing GBV, but training interventions proved effective in increasing knowledge and competency. Overall, the literature supported a need for dental care in GBV and a tailored approach to supporting individuals who have experienced GBV. Conclusion: GBV can have profound impacts on oral health. There is a lack of knowledge about GBV in dental settings and the need to include GBV in dental curricula and further training is often overlooked. Policies and mandatory guidelines are necessary to ensure that GBV education and training are integrated into dental care settings. Trauma-informed dental care, integration of dental care into GBV support settings, and broader awareness of GBV among dental care providers are also needed.
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 | 0.012 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".