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Identifying multimorbidity clusters in an unselected population of hospitalised patients

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dc.contributor.authorRobertson, Lynn
dc.contributor.authorVieira, Rute
dc.contributor.authorButler, Jessica
dc.contributor.authorJohnston, Marjorie
dc.contributor.authorSawhney, Simon
dc.contributor.authorBlack, Corri
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Farr Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.date.accessioned2022-03-25T09:24:01Z
dc.date.available2022-03-25T09:24:01Z
dc.date.issued2022-03-24
dc.descriptionFunding NHS Grampian Public Health Directorate funded the original study developing the dataset. This study was funded by NHS Grampian Endowment [Grant No. 18/10]. Acknowledgements We thank NHS Grampian who provided data and also the Grampian Data Safe Haven, who hosted the data and provided data management support and the linkage service. This work was supported by Health Data Research UK which receives its funding from HDR UK Ltd (HDR-5012) funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (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 (BHF) and the Wellcome Trust. We also acknowledge the non-financial support of our Study Steering Committee, which included clinical, epidemiological and health intelligence representation.en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent1013301
dc.identifier214960731
dc.identifier38a9fa91-b3d4-43f6-8f90-d196047af14f
dc.identifier85127026952
dc.identifier.citationRobertson, L, Vieira, R, Butler, J, Johnston, M, Sawhney, S & Black, C 2022, 'Identifying multimorbidity clusters in an unselected population of hospitalised patients', Scientific Reports, vol. 12, 5134. https://doi.org/10.1038/s41598-022-08690-3en
dc.identifier.doi10.1038/s41598-022-08690-3
dc.identifier.issn2045-2322
dc.identifier.otherORCID: /0000-0002-7960-4573/work/110638082
dc.identifier.urihttps://hdl.handle.net/2164/18302
dc.identifier.vol12en
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectDiseasesen
dc.subjectHealth Careen
dc.subjectMedical researchen
dc.subjectRisk factorsen
dc.subjectsigns and symptomsen
dc.subjectR Medicineen
dc.subjectOtheren
dc.subjectSupplementary Informationen
dc.subject.lccRen
dc.titleIdentifying multimorbidity clusters in an unselected population of hospitalised patientsen
dc.typeJournal articleen

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