Literature DB >> 9550849

Best-link matching of Scottish health data sets.

S W Kendrick1, M M Douglas, D Gardner, D Hucker.   

Abstract

Methods are described used to link the Community Health Index and the National Health Service Central Register (NHSCR) in Scotland to provide a basis for a national patient index. The linkage used a combination of deterministic and probability matching techniques. A best-link principle was used by which each Community Health Index record was allowed to link only to the NHSCR record with which it achieved the highest match weight. This strategy, applied in the context of two files which each covered virtually the entire population of Scotland, increased the accuracy of linkage approximately a thousand-fold compared with the likely results of a less structured probability matching approach. By this means, 98.8% of linkable records were linked automatically with a sufficient degree of confidence for administrative purposes.

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Year:  1998        PMID: 9550849

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  6 in total

1.  Working more productively: tools for administrative data.

Authors:  Leslie L Roos; Ruth-Ann Soodeen; Ruth Bond; Charles Burchill
Journal:  Health Serv Res       Date:  2003-10       Impact factor: 3.402

2.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

Review 3.  History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population.

Authors:  Walter A Rocca; Barbara P Yawn; Jennifer L St Sauver; Brandon R Grossardt; L Joseph Melton
Journal:  Mayo Clin Proc       Date:  2012-11-28       Impact factor: 7.616

4.  Informing the 'early years' agenda in Scotland: understanding infant feeding patterns using linked datasets.

Authors:  Omotomilola Ajetunmobi; Bruce Whyte; James Chalmers; Michael Fleming; Diane Stockton; Rachel Wood
Journal:  J Epidemiol Community Health       Date:  2013-10-15       Impact factor: 3.710

5.  Technical challenges of providing record linkage services for research.

Authors:  James H Boyd; Sean M Randall; Anna M Ferrante; Jacqueline K Bauer; Adrian P Brown; James B Semmens
Journal:  BMC Med Inform Decis Mak       Date:  2014-03-31       Impact factor: 2.796

6.  Evaluation of a national complex oral health improvement programme: a population data linkage cohort study in Scotland.

Authors:  Jamie Br Kidd; Alex D McMahon; Andrea Sherriff; Wendy Gnich; Ahmed Mahmoud; Lorna Md Macpherson; David I Conway
Journal:  BMJ Open       Date:  2020-11-24       Impact factor: 2.692

  6 in total

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