Question · asked by 1 review
Referral to specialist agencies for support in relation to domestic violence vs no intervention: Frequency of physical assault by self report
- Population
- Adults (16 years of age and older) who present to any healthcare setting with dental or facial injury
- Intervention
- Referral to specialist agencies for support in relation to domestic violence
- Comparison
- no intervention
- Outcome
- Frequency of physical assault by self report
The review found no eligible studies for this question.
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Intervention programmes - referral to specialist agencies for support in relation to domestic violence vs No intervention programme Frequency of physical assault by self report · Adults (16 years of age and older) who present to any healthcare setting with dental or facial injury The review found no eligible studies for this question. Domestic violence screening and intervention programmes for adults with dental or facial injury (2010) · Cochrane All outcomes | No eligible randomised controlled trials were identified. The update search retrieved an additional 2129 references; after de-duplication this left 1381 potentially eligible studies, and after examination of titles and… | 0 studies | No studies found |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Domestic violence screening and intervention programmes for adults with dental or facial injury 2010 · Cochrane All outcomes | 2010-05 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Referral to specialist agencies for support in relation to domestic violence vs Different intervention programme · Adults (16 years of age and older) who present to any healthcare setting with dental or… · 1 review
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.