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dc.contributor.authorCrilly, Juliaen_US
dc.contributor.authorO⿿Dwyer, Johnen_US
dc.contributor.authorO⿿Dwyer, Marillaen_US
dc.contributor.authorLind, Jamesen_US
dc.contributor.authorL Peters, Juliaen_US
dc.contributor.authorTippett, Vivienneen_US
dc.contributor.authorWallis, Marianneen_US
dc.contributor.authorBost, Nerolieen_US
dc.contributor.authorKeijzers, Gerbenen_US
dc.date.accessioned2017-04-24T09:01:05Z
dc.date.available2017-04-24T09:01:05Z
dc.date.issued2011en_US
dc.date.modified2014-10-09T03:40:39Z
dc.identifier.issn0025729Xen_US
dc.identifier.urihttp://hdl.handle.net/10072/43519
dc.description.abstractObjective: To assess the accuracy of data linkage across the spectrum of emergency care in the absence of a unique patient identifier, and to use the linked data to examine service delivery outcomes in an emergency department (ED) setting. Design: Automated data linkage and manual data linkage were compared to determine their relative accuracy. Data were extracted from three separate health information systems: ambulance, ED and hospital inpatients, then linked to provide information about the emergency journey of each patient. The linking was done manually through physical review of records and automatically using a data linking tool (Health Data Integration) developed by the CSIRO (Commonwealth Scientific and Industrial Research Organisation). Match rate and quality of the linking were compared. Setting: 10 835 patient presentations to a large, regional teaching hospital ED over a 2-month period (August - September 2007). Results: Comparison of the manual and automated linkage outcomes for each pair of linked datasets demonstrated a sensitivity of between 95% and 99%; a specificity of between 75% and 99%; and a positive predictive value of between 88% and 95%. Conclusions: Our results indicate that automated linking provides a sound basis for health service analysis, even in the absence of a unique patient identifier. The use of an automated linking tool yields accurate data suitable for planning and service delivery purposes and enables the data to be linked regularly to examine service delivery outcomes.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherAustralasian Medical Publishing Company Pty Ltden_US
dc.publisher.placeAustraliaen_US
dc.publisher.urihttps://www.mja.com.au/journal/2011/194/4/linking-ambulance-emergency-department-and-hospital-admissions-data-understandingen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefroms34en_US
dc.relation.ispartofpagetos37en_US
dc.relation.ispartofissue4en_US
dc.relation.ispartofjournalMedical Journal of Australiaen_US
dc.relation.ispartofvolume194en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchInformation Systems not elsewhere classifieden_US
dc.subject.fieldofresearchHealth and Community Servicesen_US
dc.subject.fieldofresearchcode080699en_US
dc.subject.fieldofresearchcode111708en_US
dc.titleLinking ambulance, emergency department and hospital admissions data: understanding the emergency journeyen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Health, School of Nursing and Midwiferyen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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