School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.
School of Humanities and Social Science, Newcastle University, Newcastle, New South Wales, Australia.
Popul Health Metr. 2020 Jan 2;18(1):1. doi: 10.1186/s12963-019-0201-0.
There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not representative for small geographic areas.
This paper presents a method for reweighting national survey data-the Health Survey for England-by combining survey and routine data to produce simulated locally representative survey data and provide statistics of alcohol consumption for each Local Authority in England.
We find a 2-fold difference in estimated mean alcohol consumption between the lightest and heaviest drinking Local Authorities, a 4.5-fold difference in abstention rates, and a 3.5-fold difference in harmful drinking. The method compares well to direct estimates from the data at regional level.
The results have important policy implications in itself, but the reweighted data can also be used to model local policy effects. This method can also be used for other public health small area estimation where locally representative data are not available.
在一个国家的局部地区，人们的饮酒水平和模式可能存在差异，但调查数据通常是在国家或国家以下/地区一级收集的，不能代表小的地理区域。
本文提出了一种重新加权全国性调查数据的方法，即通过结合调查和常规数据，对英格兰健康调查进行重新加权，以产生具有局部代表性的模拟调查数据，并提供英格兰每个地方当局的酒精消费统计数据。
我们发现，在饮酒量最少和最多的地方当局之间，估计的平均酒精消费量相差两倍，戒酒率相差四倍，有害饮酒量相差三倍半。该方法与区域一级数据的直接估计值相比，结果相当吻合。
调查结果本身具有重要的政策意义，但加权后的数据也可用于模拟地方政策的影响。这种方法也可用于其他无法获得局部代表性数据的公共卫生小区域估计。
