Allen Kate, Malhotra Tamanna, Bond Amy, Garrood Alice, Melendez-Torres G J, Ford Tamsin, Bonell Chris, Berry Vashti
University of Exeter, South Cloisters, St Luke's Campus, College Road, Exeter, EX1 1TE, UK.
University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
J Prev (2022). 2025 Sep 1. doi: 10.1007/s10935-025-00868-5.
Support for families experiencing domestic violence and abuse (DVA), mental ill-health (MH) and substance misuse (SU) is often delivered in siloes, despite the frequent co-occurrence of these public health issues. Little evidence-based guidance exists on which interventions best support families experiencing a combination of these problems. Identifying intervention components with common impacts across parental DVA, MH and SU could inform policy and practice. We conducted an Intervention Components Analysis (ICA) to identify intervention components that have common impacts across parental DVA, MH and SU. We searched ten databases for randomised controlled trials of family-focused interventions targeting, and measuring an impact on, one or more of these issues. We developed an initial coding framework using open coding to guide the coding of subsequent studies. Descriptive analyses identified common components across target outcomes (DVA/MH/SU) and robust variance meta-regressions explored the relationship between intervention components and treatment effects. A Lived Experience Advisory Group informed our presentation and interpretation of the results. We identified 164 interventions: 40 focused on a combination of DVA, MH and SU and 124 addressed one issue alone. None of the 20 components identified were unique to any specific outcome and no single component was associated with meaningful improvement in outcomes. Interventions aiming to provide integrated support across outcomes were less successful at improving MH and SU outcomes than those targeting single issues. We found no evidence of commonly effective intervention components. Better alignment between components and underlying processes driving DVA/MH/SU, and alternative intervention designs, are needed.
尽管家庭暴力与虐待(DVA)、心理健康问题(MH)和药物滥用(SU)等公共卫生问题经常同时出现,但为受这些问题困扰的家庭提供的支持往往是分散进行的。对于哪些干预措施能最好地支持面临这些问题综合影响的家庭,几乎没有基于证据的指导意见。确定在父母的DVA、MH和SU方面具有共同影响的干预组成部分,可以为政策和实践提供参考。我们进行了一项干预组成部分分析(ICA),以确定在父母的DVA、MH和SU方面具有共同影响的干预组成部分。我们在十个数据库中搜索了以家庭为重点的干预措施的随机对照试验,这些干预措施针对这些问题中的一个或多个,并测量其影响。我们使用开放式编码开发了一个初始编码框架,以指导后续研究的编码。描述性分析确定了不同目标结果(DVA/MH/SU)中的共同组成部分,稳健方差元回归探讨了干预组成部分与治疗效果之间的关系。一个有实际生活经验的咨询小组为我们展示和解释结果提供了参考。我们确定了164项干预措施:40项侧重于DVA、MH和SU的综合影响,124项仅解决一个问题。所确定的20个组成部分中,没有一个是任何特定结果所独有的,也没有一个组成部分与结果的显著改善相关。旨在提供跨结果综合支持的干预措施在改善MH和SU结果方面不如针对单一问题的干预措施成功。我们没有发现普遍有效的干预组成部分的证据。需要使组成部分与导致DVA/MH/SU的潜在过程以及替代干预设计更好地保持一致。