ArticleTrauma, violence & abuse2026
Adapting, Sustaining and Scaling Violence against Women and Children Prevention Interventions in Low- and Middle-Income Countries: A Scoping Review on the Use of Implementation Science.
Article in Trauma, violence & abuse, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- A Scoping Review of IPV Prevention Curricula and Their Implementation in Low- and Middle-Income Countries: Implications for the Next Generation of Programs.International journal of environmental research and public health · 2026Article
- Violence against women and children in the Pacific: A systematic scoping review and expert consultation of prevention interventions.PLOS global public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The field of violence against women and children (VAW/C) prevention has made significant progress in identifying effective strategies to prevent violence. However, there are still gaps in understanding how to sustain and scale evidence-based interventions across diverse settings. At the same time, implementation science offers approaches that could help achieve greater scale, sustainability, and equity. Despite its potential, implementation science approaches have not been fully applied to VAW/C research. To address this gap, a scoping review was conducted to identify the frameworks employed, understand the most frequently studied implementation domains, examine any specific challenges captured within the applied implementation science frameworks related to delivering survivor-centered violence prevention programming, and illuminate the role of practice-based knowledge within implementation science efforts for violence prevention programming. The review, conducted between 2023 and 2024, identified 40 VAW/C evaluation studies that included implementation or process evaluation components, with most studies published after 2020. Commonly used implementation science frameworks included the Consolidated Framework for Implementation Research (CFIR), the Exploration, Preparation, Implementation, and Sustainment (EPIS) model, and the Medical Research Council (MRC) frameworks. Key implementation domains studied were fidelity, acceptability, and feasibility. However, scale and sustainability-critical priorities for practitioners, policymakers, and donors-were only minimally addressed in the literature. In addition, there was limited focus on implementing survivor-centered practices and incorporating practice-based knowledge. The findings highlight the need for long-term collaborations between researchers and practitioners that explicitly integrate implementation science. Such partnerships could help adapt, scale, and sustain evidence-based VAW/C prevention programs more effectively while ensuring they remain survivor-centered.
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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.