Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development

Introduction Excessive alcohol consumption has adverse effects on health but there is a recognised need for longitudinal analysis of population data to improve our understanding of the patterns of alcohol use, harms to consumers and those in their immediate environment. This paper describes the p...

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Main Authors: Laszlo Trefan, Ashley Akbari, Shantini Paranjothy, Daniel Mark Farewell, Andrea Gartner, David Fone, Giles Jeremy Greene, Anette Evans, Ann Smith, Victor Adekanmbi, Jonathan Kennedy, Ronan Anthony Lyons, Simon Moore
Format: Article
Language:English
Published: Swansea University 2019-05-01
Series:International Journal of Population Data Science
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Online Access:https://ijpds.org/article/view/581
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author Laszlo Trefan
Ashley Akbari
Shantini Paranjothy
Daniel Mark Farewell
Andrea Gartner
David Fone
Giles Jeremy Greene
Anette Evans
Ann Smith
Victor Adekanmbi
Jonathan Kennedy
Ronan Anthony Lyons
Simon Moore
author_facet Laszlo Trefan
Ashley Akbari
Shantini Paranjothy
Daniel Mark Farewell
Andrea Gartner
David Fone
Giles Jeremy Greene
Anette Evans
Ann Smith
Victor Adekanmbi
Jonathan Kennedy
Ronan Anthony Lyons
Simon Moore
author_sort Laszlo Trefan
collection DOAJ
description Introduction Excessive alcohol consumption has adverse effects on health but there is a recognised need for longitudinal analysis of population data to improve our understanding of the patterns of alcohol use, harms to consumers and those in their immediate environment. This paper describes the protocol for the project “Electronic Longitudinal Alcohol Study in Communities” (ELAStiC) that aims to leverage the value of a broad set of cross-linked cohorts, e-cohorts, surveys and data linkage facilities to construct an alcohol-specific analytical platform in the United Kingdom. Aims and objectives ELAStiC aims to address four aims: (a) the effect on children’s’ health and educational achievement of living in household in which one or more adults experience alcohol-related harm; (b) the longitudinal relationship between alcohol consumption, physical and mental health in adults in a Welsh county (Caerphilly); (c) the patterns of Welsh alcohol-related hospital admissions across 16 years; (d) the socioeconomic patterns in alcohol-related hospital admission in adults in Wales, considering individual alcohol consumption and other factors. Methods Datasets containing routinely collected electronic healthcare records including data from hospital admissions, general practice, cohorts specific to children as well as data from project specific observational studies. In addition, socioeconomic descriptors and mortality data were linked to these datasets. Conclusion The data used represent either Welsh population or county level. This level of representativeness could offer robust confidence for future analyses. In excess of 10 years of longitudinal data will help to understand alcohol-related disease and health trajectories across the lifespan.
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spelling doaj.art-c225475d503e4ca881e8e21c469569d02023-12-02T19:45:07ZengSwansea UniversityInternational Journal of Population Data Science2399-49082019-05-014110.23889/ijpds.v4i1.581Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform developmentLaszlo Trefan0Ashley Akbari1Shantini Paranjothy2Daniel Mark Farewell3Andrea Gartner4David Fone5Giles Jeremy Greene6Anette Evans7Ann Smith8Victor Adekanmbi9Jonathan Kennedy10Ronan Anthony Lyons11Simon Moore12Division of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKHealth Data Research UK Wales and Northern Ireland, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UKHealth Data Research UK Wales and Northern Ireland, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UKHealth Data Research UK Wales and Northern Ireland, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UKCrime and Security Research Institute and School of Dentistry, Cardiff University, Cardiff, CF14 4XY, UKIntroduction Excessive alcohol consumption has adverse effects on health but there is a recognised need for longitudinal analysis of population data to improve our understanding of the patterns of alcohol use, harms to consumers and those in their immediate environment. This paper describes the protocol for the project “Electronic Longitudinal Alcohol Study in Communities” (ELAStiC) that aims to leverage the value of a broad set of cross-linked cohorts, e-cohorts, surveys and data linkage facilities to construct an alcohol-specific analytical platform in the United Kingdom. Aims and objectives ELAStiC aims to address four aims: (a) the effect on children’s’ health and educational achievement of living in household in which one or more adults experience alcohol-related harm; (b) the longitudinal relationship between alcohol consumption, physical and mental health in adults in a Welsh county (Caerphilly); (c) the patterns of Welsh alcohol-related hospital admissions across 16 years; (d) the socioeconomic patterns in alcohol-related hospital admission in adults in Wales, considering individual alcohol consumption and other factors. Methods Datasets containing routinely collected electronic healthcare records including data from hospital admissions, general practice, cohorts specific to children as well as data from project specific observational studies. In addition, socioeconomic descriptors and mortality data were linked to these datasets. Conclusion The data used represent either Welsh population or county level. This level of representativeness could offer robust confidence for future analyses. In excess of 10 years of longitudinal data will help to understand alcohol-related disease and health trajectories across the lifespan.https://ijpds.org/article/view/581protocol
spellingShingle Laszlo Trefan
Ashley Akbari
Shantini Paranjothy
Daniel Mark Farewell
Andrea Gartner
David Fone
Giles Jeremy Greene
Anette Evans
Ann Smith
Victor Adekanmbi
Jonathan Kennedy
Ronan Anthony Lyons
Simon Moore
Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development
International Journal of Population Data Science
protocol
title Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development
title_full Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development
title_fullStr Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development
title_full_unstemmed Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development
title_short Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development
title_sort electronic longitudinal alcohol study in communities elastic wales protocol for platform development
topic protocol
url https://ijpds.org/article/view/581
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