社交网络定位以最大限度地改变人口的行为:一个集群随机对照试验
David A Kim1, Alison R Hwong1, Derek Stafford2
1Interfaculty Initiative in Health Policy, Harvard University, Cambridge, MA, USA.
Lancet (London, England)
|May 9, 2015
概括
与随机准相比,针对随机个人的指定的朋友显著增加了12.2%的健康干预采用率. 这种社交网络策略增强了干预传播和人口健康结果.
科学领域:
- 社交网络分析分析
- 公共卫生干预措施 公共卫生干预措施
- 行为科学是一种行为科学.
背景情况:
- 人际关系促进信息和行为传播.
- 在社交网络中准有影响力的个人可以提高卫生干预的有效性.
- 评估目标方法以最大限度地改变人口层面的行为变化至关重要.
研究的目的:
- 评估哪些社交网络准方法为健康干预带来了最大的级联和溢出效应.
- 为了比较随机准的有效性,准高度连接的个人,准指定的朋友.
主要方法:
- 在洪都拉斯农村进行了一个集群随机试验,涉及32个村庄和5773名参与者.
- 两项公共卫生干预 (用于净化水的,多种维生素) 使用了三种向方法进行:随机选择,大多数社会关系或指定的朋友.
- 主要终点测量了每个准方法在整个人群中的产品赎回率.
主要成果:
- 与随机准 (p<0.01) 相比,针对指定的朋友的目标导致多维生素采用增加了12.2%.
- 与随机准相比,当准最高度连接的个人时,没有观察到采用率的显著增加.
- 提名目标村庄的复合维生素赎回率 (74.3%) 比随机目标村庄 (66.2%) 和非目标目标村庄 (61.0%) 高.
结论:
- 将健康干预引入随机个人的指定的朋友,利用社交网络的特性来增强传播.
- 这种提名策略是可扩展的,不需要网络映射.
- 网络向可以提高卫生干预措施的采用和效率,而无需增加资源,从而提高人口健康.
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