Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity.
Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity.
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DOI：
10.1136/bmjopen-2020-047101
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发表时间：
2021-01-19
期刊：
影响因子：
2.9
通讯作者：
Lyons RA
中科院分区：
文献类型：
--
作者：
Lyons J;Akbari A;Agrawal U;Harper G;Azcoaga-Lorenzo A;Bailey R;Rafferty J;Watkins A;Fry R;McCowan C;Dezateux C;Robson JP;Peek N;Holmes C;Denaxas S;Owen R;Abrams KR;John A;O'Reilly D;Richardson S;Hall M;Gale CP;Davies J;Davies C;Cross L;Gallacher J;Chess J;Brookes AJ;Lyons RA
多重发病率被广泛认为是存在两种或两种以上同时存在的长期病症，但尽管其患病率不断增加，但它仍然是一个人们知之甚少的全球性问题。我们创建了威尔士多发病电子队列 (WMC)，以提供可访问的研究就绪数据资产，以进一步了解多发病。我们的目标是创建一个支持研究的平台，帮助了解多发病的患病率、轨迹和决定因素，描述导致个人和医疗保健服务负担最高的集群特征，评估并向国家卫生服务和研究界提供新的多发病表型和算法，以支持多发病的预防、医疗保健规划和管理。 WMC 是根据安全匿名信息链接 (SAIL) 数据库中与威尔士人口相关的多源人口统计、行政和电子健康记录数据创建和衍生的。 WMC 由 2000 年 1 月 1 日起居住在威尔士的 290 万人组成，追踪至 2019 年 12 月 31 日（威尔士居留权中断或死亡）。已发布的合并症指数和表型代码列表将用于测量和概念化多重疾病。研究成果将包括：(1) 使用已发表的数据表型算法/本体论对多发病进行描述，(2) 调查基线人口因素与多发病之间的关联，(3) 识别疾病集群和多发病的时间轨迹，(4) 调查结果不佳的多发病集群，例如死亡率和高医疗服务利用率。 SAIL 数据库独立信息治理审查小组已批准本研究（SAIL 项目：0911）。研究结果将提交给政策小组、公开会议、国内和国际会议，并在同行评审期刊上发表。
Multimorbidity is widely recognised as the presence of two or more concurrent long-term conditions, yet remains a poorly understood global issue despite increasing in prevalence. We have created the Wales Multimorbidity e-Cohort (WMC) to provide an accessible research ready data asset to further the understanding of multimorbidity. Our objectives are to create a platform to support research which would help to understand prevalence, trajectories and determinants in multimorbidity, characterise clusters that lead to highest burden on individuals and healthcare services, and evaluate and provide new multimorbidity phenotypes and algorithms to the National Health Service and research communities to support prevention, healthcare planning and the management of individuals with multimorbidity. The WMC has been created and derived from multisourced demographic, administrative and electronic health record data relating to the Welsh population in the Secure Anonymised Information Linkage (SAIL) Databank. The WMC consists of 2.9 million people alive and living in Wales on the 1 January 2000 with follow-up until 31 December 2019, Welsh residency break or death. Published comorbidity indices and phenotype code lists will be used to measure and conceptualise multimorbidity. Study outcomes will include: (1) a description of multimorbidity using published data phenotype algorithms/ontologies, (2) investigation of the associations between baseline demographic factors and multimorbidity, (3) identification of temporal trajectories of clusters of conditions and multimorbidity and (4) investigation of multimorbidity clusters with poor outcomes such as mortality and high healthcare service utilisation. The SAIL Databank independent Information Governance Review Panel has approved this study (SAIL Project: 0911). Study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals.
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影响因子：
15.8
作者：
Hall M;Dondo TB;Yan AT;Mamas MA;Timmis AD;Deanfield JE;Jernberg T;Hemingway H;Fox KAA;Gale CP
通讯作者：
Gale CP
影响因子：
3.5
作者：
Lyons RA;Jones KH;John G;Brooks CJ;Verplancke JP;Ford DV;Brown G;Leake K
通讯作者：
Leake K
影响因子：
3
作者：
Elixhauser, A;Steiner, C;Coffey, RN
通讯作者：
Coffey, RN
影响因子：
4.5
作者：
Jones, Kerina H.;Ford, David V.;Jones, Chris;Dsilva, Rohan;Thompson, Simon;Brooks, Caroline J.;Heaven, Martin L.;Thayer, Daniel S.;McNerney, Cynthia L.;Lyons, Ronan A.
通讯作者：
Lyons, Ronan A.
影响因子：
3.7
作者：
Lyons, Ronan A.;Turner, Samantha;Jones, Sarah J.
通讯作者：
Jones, Sarah J.