Journal
BMJ OPEN
Volume 11, Issue 1, Pages -Publisher
BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2020-047101
Keywords
public health; epidemiology; health policy; primary care; geriatric medicine
Categories
Funding
- Health Data Research UK [HDR-9006, CFC0110]
- Medical Research Council [MR/S027750/1]
- UK Medical Research Council
- Engineering and Physical Sciences Research Council
- Economic and Social Research Council
- National Institute for Health Research (England)
- Chief Scientist Office of the Scottish Government Health and Social Care Directorates
- Health and Social Care Research and Development Division (Welsh Government)
- Public Health Agency (Northern Ireland)
- British Heart Foundation
- Wellcome Trust
- ESRC [ES/S007393/1, ES/R011400/1, ES/L007509/1, ES/S00744X/1, ES/N012003/1, ES/R010226/1, ES/K00428X/1] Funding Source: UKRI
- MRC [MC_PC_17215, G0901530, MR/S027750/1, MR/L023784/2] Funding Source: UKRI
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The WMC is a research initiative in Wales to study multimorbidity using demographic and health record data, aiming to understand prevalence, trajectories, and determinants of multiple long-term conditions. The study findings will be disseminated through presentations at various conferences and publication in peer-reviewed journals.
Introduction 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. Methods and analysis 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. Ethics and dissemination 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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