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dc.contributor.authorAdeyemi, Shola
dc.contributor.authorDemir, Eren
dc.contributor.authorChaussalet, Thierry J
dc.contributor.editorSakalauskas, L.
dc.contributor.editorSkiadas, C.
dc.contributor.editorZavadskas, E. K.
dc.date.accessioned2013-02-05T09:00:36Z
dc.date.available2013-02-05T09:00:36Z
dc.date.issued2009-07-13
dc.identifier.citationAdeyemi , S , Demir , E & Chaussalet , T J 2009 , The Analyses of Individual Patient Pathways : Investigating Regional Variation in COPD readmissions . in L Sakalauskas , C Skiadas & E K Zavadskas (eds) , Applied Stochastic Models and Data Analysis : ASMDA 2009 proceedings . Vilnius Gediminas Technical University Publishing House “Technika” , pp. 316-319 , Applied Stochastic Models & Data Analysis (ASMDA 2009) , Vilnius , Lithuania , 30/06/09 .
dc.identifier.citationconference
dc.identifier.isbn978-9955-28-463-5
dc.identifier.otherPURE: 635987
dc.identifier.otherPURE UUID: 1881a915-e223-4af5-8dba-e8a50df4b82a
dc.identifier.urihttp://hdl.handle.net/2299/9862
dc.description.abstractRegional variation for those treated for chronic obstructive pulmonary disease (COPD) has been studied amongst many public health issues. However, for those experiencing frequent readmissions were not considered. The objective is to determine the probability of a patient being in the high risk group in their next readmission, given patient and regional specific previous readmissions, i.e. capturing individual clinical pathways of patient's leading to multiple readmissions. Data on COPD patients were extracted from the national (England) hospital episodes statistics (HES) dataset. Individual patient pathways from initial admission through to more than four readmissions are captured. Here, patients are classified into the low risk of readmission group (LRRG) and the high risk of readmission group (HRRG). This classification is based on the definition of readmission, where we have previously developed a stochastic modelling approach to determine the appropriate width of a time window in defining readmission. Hence, using this classification as a response variable, a marginal continuation-ratio logit model is used to examine regional disparities in progressing through multiple readmissions. Significant regional differences were found in each readmission and classification groups (HRRG or LRRG). For example, COPD patients from the North West of England were found to be 16% more likely to experience multiple readmissions than Yorkshire and The Humber region.en
dc.language.isoeng
dc.publisherVilnius Gediminas Technical University Publishing House “Technika”
dc.relation.ispartofApplied Stochastic Models and Data Analysis
dc.titleThe Analyses of Individual Patient Pathways : Investigating Regional Variation in COPD readmissionsen
dc.contributor.institutionStatistical Services Consulting Unit
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionSocial Sciences, Arts & Humanities Research Institute
dc.contributor.institutionHealth Services and Medicine
dc.contributor.institutionCentre for Research on Management, Economy and Society
dc.contributor.institutionDepartment of Marketing and Enterprise
dc.identifier.urlhttp://leidykla.vgtu.lt/conferences/ASMDA_2009/15/15-101.htm
dc.relation.schoolHertfordshire Business School
dcterms.dateAccepted2009-07-13
rioxxterms.versionVoR
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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