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dc.contributor.authorvan Lier, Lisanne I.
dc.contributor.authorBosmans, Judith E.
dc.contributor.authorvan der Roest, Henriëtte G.
dc.contributor.authorHeymans, Martijn W.
dc.contributor.authorGarms-Homolová, Vjenka
dc.contributor.authorDeclercq, Anja
dc.contributor.authorV Jónsson, Pálmi
dc.contributor.authorvan Hout, Hein P.J.
dc.date.accessioned2021-01-21T14:39:06Z
dc.date.available2021-01-21T14:39:06Z
dc.date.issued2020-01-01
dc.date.submitted2021-01
dc.identifier.citationvan Lier LI, Bosmans JE, van der Roest HG, Heymans MW, Garms-Homolova V, Declercq A, et al. Development and Validation of a Prediction Model for 6-Month Societal Costs in Older Community Care-Recipients in Multiple Countries; the IBenC Study. Health Services Insights. 2020;13.doi:10.1177/1178632920980462.en_US
dc.identifier.doi10.1177/1178632920980462
dc.identifier.urihttp://hdl.handle.net/2336/621642
dc.descriptionTo access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Downloaden_US
dc.description.abstractThis study aims to develop and validate a prediction model of societal costs during a period of 6-months in older community care-recipients across multiple European countries. Participants were older community care-recipients from 5 European countries. The outcome measure was mean 6-months total societal costs of resource utilisation (healthcare and informal care). Potential predictors included sociodemographic characteristics, functional limitations, clinical conditions, and diseases/disorders. The model was developed by performing Linear Mixed Models with a random intercept for the effect of country and validated by an internal-external validation procedure. Living alone, caregiver distress, (I)ADL impairment, required level of care support, health instability, presence of pain, behavioural problems, urinary incontinence and multimorbidity significantly predicted societal costs during 6 months. The model explained 32% of the variation within societal costs and showed good calibration in Iceland, Finland and Germany. Minor model adaptations improved model performance in The Netherland and Italy. The results can provide a valuable orientation for policymakers to better understand cost development among older community care-recipients. Despite substantial differences of countries' care systems, a validated cross-national set of key predictors could be identified.en_US
dc.description.sponsorshipEuropean Commission European Commission Joint Research Centreen_US
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.relation.urlhttps://journals.sagepub.com/doi/full/10.1177/1178632920980462en_US
dc.subjectelderly peopleen_US
dc.subjectLinear Mixed Modelsen_US
dc.subjectPrediction modelen_US
dc.subjectsocietal costsen_US
dc.subjectAldraðiren_US
dc.subjectHeilbrigðisþjónustaen_US
dc.subjectKostnaðuren_US
dc.subjectKostnaðaráætlaniren_US
dc.subject.meshCosts and Cost Analysisen_US
dc.subject.meshCommunity Health Servicesen_US
dc.subject.meshHealth Services for the Ageden_US
dc.subject.meshAgeden_US
dc.subject.meshAged, 80 and overen_US
dc.titleDevelopment and Validation of a Prediction Model for 6-Month Societal Costs in Older Community Care-Recipients in Multiple Countries; the IBenC Studyen_US
dc.typeArticleen_US
dc.identifier.eissn11786329
dc.contributor.departmentaDepartment of General Practice and Medicine of Older People, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Department on Aging, Amsterdam, Netherlands bDepartment of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands cDepartment of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam, Netherlands dDepartment III, Economy and Law, Hochschule für Technik und Wirtschaft Berlin, Berlin, Germany eLUCAS, Centre for Care Research and Consultancy, and CESO, Center for Sociological Research, KU Leuven (University of Leuven), Leuven, Belgium fDepartment of Geriatrics, Landspitali University Hospital, Faculty of Medicine, University of Iceland, Reykjavik, Iceland gInstitute of Mental Health and Addiction (Trimbos Institute), Utrecht, Utrecht, Netherlands hUMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlandsen_US
dc.identifier.journalHealth Services Insightsen_US
dc.rights.accessOpen Access - Opinn aðganguren_US
dc.departmentcodeGER12
dc.identifier.eid2-s2.0-85097974074
dc.identifier.scopusidSCOPUS_ID:85097974074
dc.source.journaltitleHealth Services Insights
dc.source.volume13
refterms.dateFOA2021-01-21T14:39:07Z


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