Queering Intimate Partner Violence (IPV): An Integrative Review Recognizing Queer Women Experiences and Other Nursing Considerations
Bibliographic record
Abstract
Intimate partner violence (IPV) is a devastating global health issue that impacts more than 1 in 3 women within their lifetime. Health outcomes of IPV can disproportionately impact the LGBTQIA2S+ communities, specifically queer women, including increased rates of anxiety, depression, chronic pain, and disability. Risk factors for help-seeking among queer women experiencing IPV, further known as Queer Women-IPV, are complex, and encompass heteronormative and cis-normative assumptions, discrimination, isolation, and stigma within healthcare, including by nurses. Using Whittemore and Knafl's framework for an integrative review, this review identified unique characteristics of Queer Women-IPV. Furthermore, an examination of how stigma and other discriminations impact healthcare access, and recommendations for nursing professionals are provided to ensure empowering care for Queer Women-IPV survivors. Main themes from the findings included differences in Queer Women-IPV tactics and power dynamics; Queer Women-IPV risk factors; health and quality of life outcomes; as well as the influence of stigma on help-seeking behaviors. Nursing has a significant role in ensuring that queer women have safer places and people to turn to. Recommendations for nursing practice and policy include integrating trauma and violence-informed care as universal standards, offering inclusive holistic screening, and instilling LGBTQIA2S+ education for nurses.
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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 | 0.003 | 0.001 |
| 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 | 0.001 |
| 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".