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Violence, Health and Society: VISION

Violence, Health and Society: VISION
暴力、健康与社会:愿景
批准号:
MR/V049879/1
负责人:
Gene Feder
金额:
$908.29万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --

项目摘要

项目成果

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中文摘要
翻译
暴力对健康造成危害。对心理健康的伤害可能比对身体健康的直接伤害更持久,其后果会影响一个人的生活,影响他们在社会中的作用。减少这种“上游”的精神健康不良的决定因素将大大改善人口的健康。这将减少健康方面的不平等,因为在那些已经处于不利地位的人中,成为暴力受害者的情况更为普遍。联合会将调查减少暴力的干预措施的有效性,从而减少健康不平等。在暴力领域,我们对家庭暴力和性暴力特别感兴趣,因为这些是心理健康不平等的重要原因,而这在科学和统计证据库中相对被忽视。我们解决如何将这些问题纳入多个部门的主流,而不是将其视为仅仅是专门关注的问题。多个机构与预防暴力有关。它们不仅包括保健服务,还包括刑法执法(大多数暴力是犯罪)、民法(例如家庭保护令)、专门服务(帮助暴力受害者/幸存者的第三部门组织)以及与法律、政策和数据质量有关的政府机构。暴力与健康不良之间的联系是复杂的,因为它们是由许多这些机构调解的。查明这些联系将有助于制定更有效的干预措施,而复杂的系统分析则可捕捉这些系统之间的适应行为,评估干预措施的有效性和成本效益所需的数据目前还很薄弱。这部分是因为每个专门的学科和专业都有不同的衡量暴力的方法,这使得跨越这些差异的合作变得困难。我们不仅需要协调一致的核心指标来评估干预措施和跨部门成本效益比较,我们还需要调整和扩展我们的指标,以捕捉新发现的滥用形式,例如技术促进的滥用。该联合会旨在改进衡量框架和数据提供情况,以协助评估干预措施。这取决于学术界和从业人员之间的合作。该项目旨在确定遭受暴力的人员和事件的概况,并将来自多种服务和调查的数据联系起来。我们将协助服务部门使其自己的数据更有用和更可用。这涉及到对数据保护问题的关心和关注,以及制定尊重产生数据的社区的数据共享定制协议。我们将释放多个数据源的潜力,而不是收集新数据。这些数据集包括主要的全国性调查,如成人精神病发病率调查和英格兰和威尔士犯罪调查,以及来自专业和从业人员的行政数据集,包括警察,律师,卫生和专业服务。这些数据集将被连接成一个新的综合数据集,并提供一个证据基础,在此基础上可以制定一个成本效益框架和风险评估工具。这些是在机构和系统一级的干预措施。我们的重点是预防人口中的暴力,而不是治疗个人的创伤。联合会力求将暴力对健康的重要性的证据纳入决策的主流。我们将与关注服务委托的决策者和关注公共支出优先事项的决策者以及更广泛的公众接触。其目的是通过确定最有效和最具成本效益的干预措施,减少对健康,特别是精神健康的伤害,以减少人口中的暴力行为。
英文摘要
Violence causes harms to health. The harms to mental health can be more long-lasting than the immediate harms to physical health and have consequences that reverberate through a person's life impacting on their functioning in society. Reducing such 'upstream' determinants of poor mental health would significantly improve the health of the population. This would reduce health inequalities since being a victim of violence is more prevalent among those who are already disadvantaged. The Consortium would investigate the effectiveness of interventions to reduce violence and, thus, reduce health inequalities. Within the field of violence, we have special interest in domestic and sexual violence because these are significant causes of inequalities in mental health, which have been relatively neglected in the scientific and statistical evidence base. We address how to mainstream these issues across multiple sectors rather than seeing them as only of specialised concern. Multiple institutions are relevant to preventing violence. They include not only health services, but also criminal law enforcement (most violence is a crime), civil law (e.g. domestic protection orders), specialised services (Third Sector organisations that help victim/survivors of violence), and governmental bodies concerned with law, policy and data quality. The connections between violence and ill health are complicated since they are mediated by many of these institutions. Identifying these connections would aid the development of more effective interventions while a complex systems analysis captures the adaptive behaviour between these systems.The data needed to assess the effectiveness and cost-effectiveness of interventions is currently weak. This is partly because each specialised academic discipline and profession has a different way of measuring violence, which makes cooperation across these differences difficult. Not only do we need harmonised core metrics for the evaluation of interventions and cross-sector cost-benefit comparisons, we also need to adapt and extend our metrics to capture newly identified forms of abuse such as that facilitated by technology. The Consortium aims to improve the measurement framework and data availability to aid the evaluation of interventions. This is premised on cooperation between academics and practitioners. The project seeks to identify profiles of persons and incidents exposed to violence and link data from multiple services and surveys. We would assist services to make their own data more useable and more available. This involves care and attention to issues of data protection and the development of bespoke agreements on data sharing that respect communities that generate data.We would unlock the potential in multiple data sources rather than collect new data. These datasets include major national surveys such as the Adult Psychiatric Morbidity Survey, and the Crime Survey for England and Wales, and also administrative data sets from professions and practitioners, including the police, solicitors, health and specialised services. These datasets will be linked in a new integrated dataset and provide an evidence base upon which a cost-benefit framework and risk assessment tools can be developed.With the linked data and new tools, we would assess key interventions. These are interventions at the level of institutions and systems. Our focus is the prevention of violence in the population rather than the treatment of trauma in individuals. The Consortium seeks to mainstream evidence of the significance of violence for health in policy making. We would engage with decision-makers concerned with the commissioning of services and policy makers concerned with priorities for public expenditure, as well as wider publics. The aim is to reduce the harm to health, especially mental health, by identifying the most effective and cost-effective interventions to reduce violence in the population.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1007/s10896-023-00591-x
发表时间: 2023-06-13
期刊: JOURNAL OF FAMILY VIOLENCE
影响因子: 3.8
作者: [Barnes, Maria, Barter, Christine, Herbert, Annie, Heron, Jon, Feder, Gene, Szilassy, Eszter]
通讯作者: Szilassy, Eszter
"Triggered by the sound of other runners": An exploration of parkrun mentions in mental health hospital records in the UK
“由其他跑步者的声音触发”:对英国心理健康医院记录中提及的 Parkrun 的探索
DOI: 10.1016/j.mhpa.2022.100486
发表时间: 2023
期刊: Mental Health and Physical Activity
影响因子: 4.7
作者: [Ashdown-Franks G]
通讯作者: Ashdown-Franks G
Policing Domestic Abuse - Risk, Policy, and Practice
监管家庭暴力 - 风险、政策和实践
DOI: 10.4324/9781003137412
发表时间: 2022
期刊:
影响因子: --
作者: [Barrow-Grint K]
通讯作者: Barrow-Grint K
The Commercial Determinants of Violence: Identifying Opportunities for Violence Prevention through a Public Health-Based Framework Analysis
暴力的商业决定因素:通过基于公共卫生的框架分析确定暴力预防的机会
DOI: 10.3390/ijerph21030352
发表时间: 2024
期刊: International Journal of Environmental Research and Public Health
影响因子: --
作者: [Bellis M]
通讯作者: Bellis M
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