Prevalence of intimate partner violence against women in the Arab world: a systematic review
Bibliographic record
Abstract
BACKGROUND: Violence against women has particular importance for women's health and wellbeing in the Arab world, where women face persistent barriers to social, political and economic equality. This review aims to summarize what is known about the prevalence of physical, sexual and emotional/psychological intimate partner violence (IPV) against women in the 22 countries of the Arab League, including geographic coverage, quality and comparability of the evidence. METHODS: A systematic review of IPV prevalence in Arab countries was carried out among peer-reviewed journal articles and national, population-based survey reports published by international research programmes and/or governments. Following PRISMA guidelines, Medline and the Social Sciences Citation Index were searched with Medical Subject Headings terms and key words related to IPV and the names of Arab countries. Eligible sources were published between January 2000 and January 2016, in any language. United Nations databases and similar sources were searched for national surveys. Study characteristics, operational definitions and prevalence data were extracted into a database using Open Data Kit Software. Risk of bias was assessed with a structured checklist. RESULTS: The search identified 74 records with population or facility-based IPV prevalence data from eleven Arab countries, based on 56 individual datasets. These included 46 separate survey datasets from peer-reviewed journals and 11 national surveys published by international research programmes and/or governments. Seven countries had national, population-based IPV estimates. Reported IPV prevalence (ever) ranged from 6% to more than half (59%) (physical); from 3 to 40% (sexual); and from 5 to 91% (emotional/ psychological). Methods and operational definitions of violence varied widely, especially for emotional/psychological IPV, limiting comparability. CONCLUSIONS: IPV against women in Arab countries represents a public health and human rights problem, with substantial levels of physical, sexual and emotional/psychological IPV documented in many settings. The evidence base is fragmented, however, suggesting a need for more comparable, high quality research on IPV in the region and greater adherence to international scientific and ethical guidelines. There is a particular need for national, population-based data to inform prevention and responses to violence against women, and to help Arab countries monitor progress towards the Sustainable Development Goals.
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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 | 0.009 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".