Sexual and Intimate Partner Violence Against Women with Schizophrenia: A Scoping Review
Bibliographic record
Abstract
Background: Globally, 641 million women are touched by intimate partner violence (IPV), establishing it as the most prevalent form of violence affecting women. Women, who are already disproportionately affected by sexual and IPV, face an elevated risk when dealing with severe mental illnesses (SMI) compared to the general population. Schizophrenia, classified as an SMI, poses numerous obstacles that impact women’s ability to maintain employment, good health, and sustain stable relationships. Nevertheless, limited data exists on IPV against women with schizophrenia and its impact. Aims: The objective of this scoping review was to summarize the available literature on sexual and IPV against women with schizophrenia and underlie future avenues of research. Methods: We conducted an electronic search using keywords in the following databases: APA PsychInfo, PubMed, Scopus, Google Scholar and Psychology and Behavioral Sciences Collection. The search yielded a total of 6,099 articles. Upon title and abstract review, 97 articles were retained for full-text reading, after which 7 articles were included in this review. Results: The available articles reveal an association between sexual and IPV against women with schizophrenia. Younger women diagnosed with schizophrenia, especially those with low income or unemployed, are at a higher risk of experiencing sexual and IPV. This victimization increases the likelihood of suicide and exacerbates psychopathology. Conclusion: Research should examine care-setting interventions for women with schizophrenia, who are at increased risk of sexual and IPV, aiming to prevent severe harm. Implementation of preventive measures is essential for enhancing healthcare and societal transformation.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.017 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".