在COVID-19期间将亲密伴侣暴力预防内容整合到数字育儿聊天机器人干预中:干预开发和远程数据收集
Moa Schafer1, Jamie M Lachman2,3,4, Frances Gardner2
1Centre for Evidence Based Intervention, Department of Social Policy and Intervention, University of Oxford, Oxford, United Kingdom. moa.schafer@spi.ox.ac.uk.
BMC public health
|September 4, 2023
概括
这项研究开发并评估了一种聊天机器人干预措施,以预防亲密伴侣暴力 (IPV) 和虐待儿童,显示出可扩展的数字健康解决方案在低资源环境中的有希望的结果.
科学领域:
- 公共卫生 公共卫生
- 数字健康干预措施 数字健康干预措施
- 预防暴力 预防暴力 预防暴力
背景情况:
- 亲密伴侣暴力 (IPV) 和虐待儿童 (VAC) 在COVID-19期间增加,需要可扩展的,基于证据的预防.
- 数字育儿计划显示出家庭暴力预防的前景,适应新的交付格式.
- 本文详细介绍了在聊天机器人干预程序ParentText中创建和评估IPV预防内容的过程.
研究的目的:
- 为数字育儿聊天机器人开发和评估亲密伴侣暴力 (IPV) 预防内容.
- 适应现有的育儿计划,以在低资源环境中进行可扩展的远程交付.
- 探索聊天机器人技术在多种形式的家庭暴力预防方面的潜力.
主要方法:
- 质量干预开发的六个步骤 (6SQuID) 框架指导了内容创建.
- 文献审查确定了IPV的因果因素,为干预设计和变化理论提供了信息.
- 与专家的商和与牙买加96名家长的形成性评估完善了干预措施.
主要成果:
- 五个IPV预防主题被整合到ParentText聊天机器人中,并支持多媒体内容.
- 形成性评估显示,平均用户参与时间为14天,每天互动次数为0.50.
- 超过50%的参与者访问了额外的关系内容,表明了参与.
结论:
- 这是第一个将IPV预防整合到远程交付的数字育儿干预中,用于资源较少的环境的研究.
- 聊天机器人展示了其作为可扩展和可访问的工具来预防多种形式的家庭暴力的潜力.
- 调查结果支持使用数字平台进行广泛的暴力预防工作.
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