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dc.contributor.authorHagger-Johnson, Gen_US
dc.contributor.authorHarron, Ken_US
dc.contributor.authorFleming, Ten_US
dc.contributor.authorGilbert, Ren_US
dc.contributor.authorGoldstein, Hen_US
dc.contributor.authorLandy, Ren_US
dc.contributor.authorParslow, RCen_US
dc.date.accessioned2016-09-26T13:24:04Z
dc.date.issued2015-08-21en_US
dc.date.submitted2016-09-23T10:17:54.084Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/15612
dc.description.abstractOBJECTIVES: Our aim was to estimate the rate of data linkage error in Hospital Episode Statistics (HES) by testing the HESID pseudoanonymisation algorithm against a reference standard, in a national registry of paediatric intensive care records. SETTING: The Paediatric Intensive Care Audit Network (PICANet) database, covering 33 paediatric intensive care units in England, Scotland and Wales. PARTICIPANTS: Data from infants and young people aged 0-19 years admitted between 1 January 2004 and 21 February 2014. PRIMARY AND SECONDARY OUTCOME MEASURES: PICANet admission records were classified as matches (records belonging to the same patient who had been readmitted) or non-matches (records belonging to different patients) after applying the HESID algorithm to PICANet records. False-match and missed-match rates were calculated by comparing results of the HESID algorithm with the reference standard PICANet ID. The effect of linkage errors on readmission rate was evaluated. RESULTS: Of 166,406 admissions, 88,596 were true matches (where the same patient had been readmitted). The HESID pseudonymisation algorithm produced few false matches (n=176/77,810; 0.2%) but a larger proportion of missed matches (n=3609/88,596; 4.1%). The true readmission rate was underestimated by 3.8% due to linkage errors. Patients who were younger, male, from Asian/Black/Other ethnic groups (vs White) were more likely to experience a false match. Missed matches were more common for younger patients, for Asian/Black/Other ethnic groups (vs White) and for patients whose records had missing data. CONCLUSIONS: The deterministic algorithm used to link all episodes of hospital care for the same patient in England has a high missed match rate which underestimates the true readmission rate and will produce biased analyses. To reduce linkage error, pseudoanonymisation algorithms need to be validated against good quality reference standards. Pseudonymisation of data 'at source' does not itself address errors in patient identifiers and the impact these errors have on data linkage.en_US
dc.description.sponsorshipEconomic and Social Research Council (ESRC) National Centre for Research Methods (NCRM), grant number ES/F035098/1.en_US
dc.format.extente008118 - ?en_US
dc.languageengen_US
dc.relation.ispartofBMJ Openen_US
dc.rightsThis is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http:// creativecommons.org/licenses/by/4.0/
dc.rightsThis article was published in BMJ Open following peer review and can also be viewed on the journal’s website at http://bmjopen.bmj.com.
dc.subjectEPIDEMIOLOGYen_US
dc.subjectSTATISTICS & RESEARCH METHODSen_US
dc.subjectdata linkageen_US
dc.subjectAdolescenten_US
dc.subjectAlgorithmsen_US
dc.subjectBiasen_US
dc.subjectChilden_US
dc.subjectChild, Preschoolen_US
dc.subjectCritical Careen_US
dc.subjectData Accuracyen_US
dc.subjectDatabases, Factualen_US
dc.subjectFemaleen_US
dc.subjectHospitalizationen_US
dc.subjectHumansen_US
dc.subjectInfanten_US
dc.subjectInfant, Newbornen_US
dc.subjectIntensive Care Units, Pediatricen_US
dc.subjectMaleen_US
dc.subjectMedical Record Linkageen_US
dc.subjectRegistriesen_US
dc.subjectUnited Kingdomen_US
dc.titleData linkage errors in hospital administrative data when applying a pseudonymisation algorithm to paediatric intensive care records.en_US
dc.typeArticle
dc.rights.holder(c) 2015 The Authors
dc.identifier.doi10.1136/bmjopen-2015-008118en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/26297363en_US
pubs.issue8en_US
pubs.notesNo embargoen_US
pubs.publication-statusPublished onlineen_US
pubs.volume5en_US


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