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Measuring multimorbidity in hospitalised patients using linked hospital episode data : comparison of two measures

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dc.contributor.authorRobertson, Lynn
dc.contributor.authorAyansina, Dolapo
dc.contributor.authorJohnston, Marjorie
dc.contributor.authorMarks, Angharad
dc.contributor.authorBlack, Corri
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Farr Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.date.accessioned2019-01-22T09:30:07Z
dc.date.available2019-01-22T09:30:07Z
dc.date.issued2019-01
dc.descriptionAcknowledgements: This work was funded by NHS Grampian. 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. We acknowledge the support from The Farr Institute of Health Informatics Research, Scotland. The Farr Institute is supported by a 10-funder consortium: Arthritis Research UK, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, the Medical Research Council, the National Institute of Health Research, the National Institute for Social Care and Health Research (Welsh Assembly Government), the Chief Scientist Office (Scottish Government Health Directorates), the Wellcome Trust, (MRC Grant Nos: Scotland MR/K007017/1). We also acknowledge the support of our Study Steering Committee, which included clinical, epidemiological and health intelligence representation. Funding: The study was funded by NHS Grampian, Public Health Directorate.en
dc.description.statusPeer revieweden
dc.format.extent13
dc.format.extent679931
dc.identifier140153687
dc.identifierc9762dcc-c5d3-44b8-b167-79be9b1c99e7
dc.identifier85086323804
dc.identifier.citationRobertson, L, Ayansina, D, Johnston, M, Marks, A & Black, C 2019, 'Measuring multimorbidity in hospitalised patients using linked hospital episode data : comparison of two measures', International Journal of Population Data Science, vol. 4, no. 1, 02. https://doi.org/10.23889/ijpds.v4i1.461en
dc.identifier.doi10.23889/ijpds.v4i1.461
dc.identifier.iss1en
dc.identifier.issn2399-4908
dc.identifier.otherORCID: /0000-0003-1910-462X/work/54384760
dc.identifier.urihttp://hdl.handle.net/2164/11816
dc.identifier.urlhttps://abdn.pure.elsevier.com/en/en/researchoutput/measuring-multimorbidity-in-hospitalised-patients-using-linked-hospital-episode-data(c9762dcc-c5d3-44b8-b167-79be9b1c99e7).htmlen
dc.identifier.vol4en
dc.language.isoeng
dc.relation.ispartofInternational Journal of Population Data Scienceen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectR Medicine (General)en
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/K007017/1en
dc.subjectArthritis Research UK (ARUK)en
dc.subjectBritish Heart Foundationen
dc.subjectCancer Research UKen
dc.subjectEconomic and Social Research Council (ESRC)en
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectNational Institute for Health Research (NIHR)en
dc.subjectChief Scientist Office (CSO)en
dc.subjectWellcome Trusten
dc.subject.lccR1en
dc.titleMeasuring multimorbidity in hospitalised patients using linked hospital episode data : comparison of two measuresen
dc.typeJournal articleen

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