个人参与者数据网络心理社会干预对亲密伴侣暴力幸存者的元分析:研究协议
Christina Palantza1, Karen Morgan1, Nicky J Welton1
1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
PloS one
|March 18, 2025
概括
本研究使用个人参与者网络元分析 (IPDNMA) 来确定哪些干预措施最能帮助亲密伴侣暴力 (IPV) 幸存者改善心理健康和生活质量,考虑参与者和干预因素.
科学领域:
- 心理学与公共卫生 心理学与公共卫生
- 证据综合和元分析
背景情况:
- 系统性审查显示,亲密伴侣暴力 (IPV) 干预措施的结果各不相同,结果显著异构.
- 确定哪些参与者和干预特征影响IPV幸存者的心理社会结果对于个性化护理至关重要.
研究的目的:
- 对针对IPV幸存者的心理社会干预进行随机对照试验 (RCT) 进行个人参与者网络元分析 (IPDNMA).
- 确定哪些干预措施和参与者特征对心理健康,自我效能,生活质量,IPV减少和安全行为产生适度影响.
主要方法:
- 将使用贝叶斯框架和"多元化"R包进行RCT的IPDNMA.
- 将从研究作者那里寻求个人参与者数据 (IPD);如果IPD无法获得,则将使用多级网络元回归 (ML-NMR) 组合总数据.
主要成果:
- 这项研究旨在确定针对特定IPV幸存者子组的最佳干预措施.
- 将确定参与者和干预特征之间的效果修饰因素.
结论:
- 这种结合IPD和综合数据的新方法将为IPV干预的临床和政策决策提供强有力的证据.
- 这些发现将指导为各种IPV幸存者群体选择最有效的心理社会干预措施.
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