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

Robertson, Lynn; Ayansina, Dolapo; Johnston, Marjorie; Marks, Angharad; Black, Corri

dc.contributor	University of Aberdeen.Chronic Disease Research Group
dc.contributor	University of Aberdeen.Other Applied Health Sciences
dc.contributor	University of Aberdeen.Data Safe Haven
dc.contributor	University of Aberdeen.Farr Aberdeen
dc.contributor	University of Aberdeen.Institute of Applied Health Sciences
dc.contributor	University of Aberdeen.Clinical Medicine
dc.contributor	University of Aberdeen.Medical Statistics
dc.creator	Robertson, Lynn
dc.creator	Ayansina, Dolapo
dc.creator	Johnston, Marjorie
dc.creator	Marks, Angharad
dc.creator	Black, Corri
dc.date	2019-01-22T09:30:07Z
dc.date	2019-01-22T09:30:07Z
dc.date	2019-01
dc.date.accessioned	2022-05-24T06:07:35Z
dc.date.available	2022-05-24T06:07:35Z
dc.identifier	Robertson , 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.v4i1.461
dc.identifier	2399-4908
dc.identifier	PURE: 140153687
dc.identifier	PURE UUID: c9762dcc-c5d3-44b8-b167-79be9b1c99e7
dc.identifier	ORCID: /0000-0003-1910-462X/work/54384760
dc.identifier	Scopus: 85086323804
dc.identifier	http://hdl.handle.net/2164/11816
dc.identifier	https://abdn.pure.elsevier.com/en/en/researchoutput/measuring-multimorbidity-in-hospitalised-patients-using-linked-hospital-episode-data(c9762dcc-c5d3-44b8-b167-79be9b1c99e7).html
dc.identifier	https://doi.org/10.23889/ijpds.v4i1.461
dc.identifier	https://abdn.pure.elsevier.com/en/en/researchoutput/measuring-multimorbidity-in-hospitalised-patients-using-linked-hospital-episode-data(c9762dcc-c5d3-44b8-b167-79be9b1c99e7).html
dc.identifier	4
dc.identifier	1
dc.identifier.uri	http://localhost:8080/xmlui/handle/CUHPOERS/117734
dc.description	Acknowledgements: 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.
dc.description	Peer reviewed
dc.description	Publisher PDF
dc.format	13
dc.format	application/pdf
dc.language	eng
dc.relation	International Journal of Population Data Science
dc.rights	©The Authors. Open Access under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/deed.en)
dc.subject	SDG 3 - Good Health and Well-being
dc.subject	R Medicine (General)
dc.subject	Medical Research Council (MRC)
dc.subject	MR/K007017/1
dc.subject	Arthritis Research UK (ARUK)
dc.subject	British Heart Foundation
dc.subject	Cancer Research UK
dc.subject	Economic and Social Research Council (ESRC)
dc.subject	Engineering and Physical Sciences Research Council (EPSRC)
dc.subject	National Institute for Health Research (NIHR)
dc.subject	Chief Scientist Office (CSO)
dc.subject	Wellcome Trust
dc.subject	R1
dc.title	Measuring multimorbidity in hospitalised patients using linked hospital episode data : comparison of two measures
dc.type	Journal article