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Cohort follow-up using computer linkage with routinely collected data

dc.contributor.authorHole, D. J.en_US
dc.contributor.authorClarke, J. A.en_US
dc.contributor.authorHawthorne, Victor M.en_US
dc.contributor.authorMurdoch, R. M.en_US
dc.date.accessioned2006-04-07T18:12:21Z
dc.date.available2006-04-07T18:12:21Z
dc.date.issued1981en_US
dc.identifier.citationHole, D. J., Clarke, J. A., Hawthorne, V. M., Murdoch, R. M. (1981)."Cohort follow-up using computer linkage with routinely collected data." Journal of Chronic Diseases 34(6): 291-297. <http://hdl.handle.net/2027.42/24544>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B7GH4-4C0MW4P-2W2/2/af4060d260f624ef0d0ef9601aff8d61en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/24544
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=7240367&dopt=citationen_US
dc.description.abstractThe validation of a computerised record linkage system for matching members of a defined cohort with routinely collected national data sources is reported for the first time. The two national sources relate to mortality and inpatient data and provide contrasting characteristics in their method of collection. The linkage system produces a group of possible matches based on identifying information restricted to surname, initials, sex and date of birth which, with a clerically assisted scrutiny, gives levels of sensitivity of 66% for the mortality and 81% for the inpatient data. Specificity can be increased to 100% if conventional follow-up methods are used for the limited set of matches classified as probable by the clerical scrutiny.en_US
dc.format.extent599852 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleCohort follow-up using computer linkage with routinely collected dataen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Epidemiology, University of Michigan, School of Public Health, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.contributor.affiliationotherWest of Scotland Cancer Surveillance Unit, Ruchill Hospital, Glasgow, Scotlanden_US
dc.contributor.affiliationotherInformation Services Division, Scottish Health Service, Common Services Agency, Edinburgh, Scotlanden_US
dc.contributor.affiliationotherDepartment of Community Medicine, University of Glasgow, Ruchill Hospital, Glasgow, Scotlanden_US
dc.identifier.pmid7240367en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/24544/1/0000824.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0021-9681(81)90034-5en_US
dc.identifier.sourceJournal of Chronic Diseasesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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