优化移动健康计划以促进高风险个体的2型糖尿病预防:横截面问卷研究
Edgar Ross1, Ebaa Al Ozairi2, Naeema Al Qabandi2
1Atrius Healthcare, Harvard Medical School, Burlington, MA, United States.
这项研究使用短信来选科威特的2型糖尿病风险. 转发的信息显著增加了覆盖范围,突出了社交网络和透理论对未来公共卫生运动的潜力.
科学领域:
- 公共卫生 公共卫生
- 计算流行病学计算流行病学
- 网络分析 网络分析
背景情况:
- 在科威特开展试点短信短信活动,以识别2型糖尿病高风险人群.
- 利用网络连接的计算分析,类似于分析疾病传播和思想传播的方法.
- 探索透理论作为一种数学方法,以优化公共卫生外展战略.
研究的目的:
- 确定优化资源部署和提高公共卫生活动响应率的变量.
- 分析二次数据,以规划未来,更具影响力的科威特公共卫生计划.
- 为了利用计算分析对健康干预的战略规划.
主要方法:
- 发送的短信中包含了2型糖尿病风险评估的6个问题.
- 为同意参与者提供了CDC糖尿病前期查测试的链接.
- 记录了电话号码,并比较了SMS和社交媒体转发的响应,分析了社交网络的影响.
主要成果:
- 发送了18万条短信,达到科威特成年人口的6%.
- 在260名参与者中,有153人完成了查.
- 通过转发的消息收到了367项额外的调查,证明了显著的间接影响力.
结论:
- 单单是短信活动的有效性有限,但与社交网络转发相结合时,它具有很大的潜力.
- 透理论可以通过识别有影响力的节点,以指数级增强活动的覆盖范围.
- 未来的运动应该整合短信,社交网络,透理论和聊天机器人,以实现最佳参与和识别处于风险中的个人.
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