Trefan L, Akbari A, Paranjothy S, Farewell D M, Gartner A, Fone D, Greene J, Evans A, Smith A, Adekanmbi V, Kennedy J, Lyons R A, Moore S C
Division of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
Health Data Research UK Wales and Northern Ireland, Swansea University Medical School, Singleton Park, Swansea SA2 8PP.
Int J Popul Data Sci. 2019 May 20;4(1):581. doi: 10.23889/ijpds.v4i1.581.
Excessive alcohol consumption has adverse effects on health and there is a recognised need for the longitudinal analysis of population data to improve our understanding of the patterns of alcohol use, harms to consumers and those in their immediate environment. The UK has a number of linkable, longitudinal databases that if assembled properly could support valuable research on this topic.
This paper describes the development of a broad set of cross-linked cohorts, e-cohorts, surveys and linked electronic healthcare records (EHRs) to construct an alcohol-specific analytical platform in the United Kingdom using datasets on the population of Wales.The objective of this paper is to provide a description of existing key datasets integrated with existing, routinely collected electronic health data on a secure platform, and relevant derived variables to enable population-based research on alcohol-related harm in Wales. We illustrate our use of these data with some exemplar research questions that are currently under investigation.
Record-linkage of routine and observational datasets. Routine data includes hospital admissions, general practice, and cohorts specific to children. Two observational studies were included. Routine socioeconomic descriptors and mortality data were also linked.
We described a record-linked, population-based research protocol for alcohol related harm on a secure platform. As the datasets used here are available in many countries, ELAStiC provides a template for setting up similar initiatives in other countries. We have also defined a number of alcohol specific variables using routinely-collected available data that can be used in other epidemiological studies into alcohol related outcomes. With over 10 years of longitudinal data, it will help to understand alcohol-related disease and health trajectories across the lifespan.
过量饮酒对健康有不利影响,人们认识到需要对人口数据进行纵向分析,以增进我们对饮酒模式、对消费者及其周围人群的危害的理解。英国有一些可相互关联的纵向数据库,如果妥善整合,可为该主题的重要研究提供支持。
本文描述了如何开发一系列广泛的交叉队列、电子队列、调查和关联电子健康记录(EHR),以利用威尔士人口数据集在英国构建一个酒精特定分析平台。本文的目的是描述在一个安全平台上与现有的常规收集的电子健康数据整合的现有关键数据集,以及相关衍生变量,以开展基于威尔士人口的酒精相关危害研究。我们用一些正在研究的示例研究问题来说明这些数据的使用情况。
常规和观察性数据集的记录链接。常规数据包括医院入院记录、全科医疗记录以及儿童特定队列。纳入了两项观察性研究。还链接了常规社会经济描述符和死亡率数据。
我们描述了一个在安全平台上针对酒精相关危害的基于人群的记录链接研究方案。由于此处使用的数据集在许多国家都有,ELAStiC为其他国家开展类似举措提供了一个模板。我们还使用常规收集的可用数据定义了一些酒精特定变量,可用于其他关于酒精相关结果的流行病学研究。有了超过10年的纵向数据,将有助于了解一生中与酒精相关的疾病和健康轨迹。