Tingay Karen Susan, Roberts Matthew, Musselwhite Charles Ba
Swansea University, Singleton Park, Swansea SA2 8PP.
Int J Popul Data Sci. 2018 Nov 20;3(1):452. doi: 10.23889/ijpds.v3i1.452.
The effect of the wider social-environment on physical and emotional health has long been an area of study. Extrapolating the impact of the individual's immediate environment, such as living with a smoker or caring for a chronically-ill child, would potentially reduce confounding effects in health-related research. Surveys, including the UK Census, are beginning to collect data on household composition. However, these surveys are expensive, time consuming, and, as such, are only completed by a subsection of the population. Large-scale, linked databanks, such as the SAIL Databank at Swansea University, which hold routinely collected secondary use clinical and administrative datasets, are broader in scope, both in terms of the nature of the data held, and the population. The SAIL databank includes demographic data and a geographic indicator that makes it possible to identify groups of people that share accommodation, and in some cases the familial relationships among them. This paper describes a method for creating households, including considerations for how that information can be securely shared for research purposes. This approach has broad implications in Wales and beyond, opening up possibilities for more detailed population-level research that includes consideration of residential social interactions.
更广泛的社会环境对身心健康的影响长期以来一直是一个研究领域。推断个人直接环境的影响，例如与吸烟者同住或照顾慢性病患儿，可能会减少健康相关研究中的混杂效应。包括英国人口普查在内的调查开始收集有关家庭构成的数据。然而，这些调查成本高昂、耗时，因此只有一部分人口完成了调查。大规模的关联数据库，如斯旺西大学的SAIL数据库，它保存了常规收集的二次使用临床和行政数据集，在数据性质和人口方面范围更广。SAIL数据库包括人口统计数据和一个地理指标，这使得识别共享住所的人群成为可能，在某些情况下还能识别他们之间的家庭关系。本文描述了一种创建家庭的方法，包括如何为研究目的安全共享该信息的考虑因素。这种方法在威尔士及其他地区具有广泛的影响，为更详细的人口层面研究开辟了可能性，其中包括对居住社会互动的考虑。
