ReviewReview of education (British Educational Research Association)2022
School-based interventions for preventing dating and relationship violence and gender-based violence: A systematic review and synthesis of theories of change.
Review in Review of education (British Educational Research Association), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and equity analysis of school-based violence prevention interventions evaluated in randomised controlled trials.BMC public health · 2026Pooled it
- Trial
- Educational and skills-based interventions for preventing relationship and dating violence in adolescents and young adults.The Cochrane database of systematic reviews · 2026Article
- Article
- Student-athletes at risk: faculty voices on gender-based violence and the need for structural change in physical activity and sport sciences programs.Frontiers in sports and active living · 2026Article
- Malleable and Static Risk Factors Associated with Boys' Patterns of Interpersonal Violence: A Latent Class Analysis.Journal of interpersonal violence · 2025Article
- "I'd Do Things to You That You Can't Even Imagine, but You'd Love Them …": Situating #MeToo Among Spanish Youth.Behavioral sciences (Basel, Switzerland) · 2025Article
- Are school-based violence prevention interventions inclusive and effective for children with disabilities? A systematic review of global evidence.EClinicalMedicine · 2025Article
- Barriers to positive bystander behavior: understanding undergraduate physical education students' attitudes and intentional behavior in gender-based violence prevention.Frontiers in sports and active living · 2025Article
- School-based interventions for preventing dating and relationship violence and gender-based violence: A systematic review and synthesis of theories of change.Review of education (British Educational Research Association) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
School-based interventions for preventing dating and relationship violence (DRV) and gender-based violence (GBV) are an important way of attempting to prevent and reduce the significant amount of DRV and GBV that occurs in schools. A theoretical understanding of how these interventions are likely to cause change is essential for developing and evaluating effectiveness, so developing an overarching theory of change for school-based interventions to prevent DRV and GBV was the first step in our systematic review. Theoretical data were synthesised from 68 outcome evaluations using methods common to qualitative synthesis. Specifically, we used a meta-ethnographic approach to develop a line-of-argument for an overarching theory of change and Markham and Aveyard's (2003,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.