Identifying Possible False Matches in Anonymized Hospital Administrative Data without Patient Identifiers

OBJECTIVE: To identify data linkage errors in the form of possible false matches, where two patients appear to share the same unique identification number. DATA SOURCE: Hospital Episode Statistics (HES) in England, United Kingdom. STUDY DESIGN: Data on births and re-admissions for infants (April 1,...

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Salvato in:
Dettagli Bibliografici
Pubblicato in:Health Serv Res
Autori principali: Hagger-Johnson, Gareth, Harron, Katie, Gonzalez-Izquierdo, Arturo, Cortina-Borja, Mario, Dattani, Nirupa, Muller-Pebody, Berit, Parslow, Roger, Gilbert, Ruth, Goldstein, Harvey
Natura: Artigo
Lingua:Inglês
Pubblicazione: John Wiley & Sons, Ltd 2015
Soggetti:
Methods Articles
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4545352/
https://ncbi.nlm.nih.gov/pubmed/25523215
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1475-6773.12272
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