From Patients to Policy: Population Intervention Effects in Epidemiology.

From Patients to Policy: Population Intervention Effects in Epidemiology.
复制标题

DOI:
10.1097/ede.0000000000000648
复制
发表时间:
2017-07
期刊:
Epidemiology (Cambridge, Mass.)
影响因子:
--
通讯作者:
Westreich D
Westreich D
中科院分区:
其他
文献类型:
--
作者:
Westreich D

文献摘要

被引文献

相似文献

补充数字内容可在文本中找到。对实施科学的兴趣和最近对结果主义流行病学的呼吁促使流行病学家更直接地开展适用于公共卫生实践的工作。目前还没有一个明确的词汇来描述这种方法。在这里,我们提出了一个潜在的因果效应分类,区分“暴露效应”更相关的患者和个人;和“人口干预效应”更相关的公共卫生政策。我们讨论这个范围内的影响使用的数字和一个简单的数值例子。
Supplemental Digital Content is available in the text. Interest in implementation science and recent calls for consequentialist epidemiology urge epidemiologists to produce work more immediately applicable to public health practice. A clear vocabulary for such approaches is lacking. Here, we present a potential taxonomy of causal effects, distinguishing between “exposure effects” more relevant to patients and individuals; and “population intervention effects” more relevant to public health policy. We discuss this range of effects using figures and a simple numerical example.