Literature DB >> 3948494

The art and science of record linkage: methods that work with few identifiers.

L L Roos, A Wajda, J P Nicol.   

Abstract

Increasing use of administrative records for research purposes has led to the need to develop methods for linking records. Linkage of the data from the Manitoba Health Services Commission (MHSC) with Canadian Vital Statistics records was done to verify Manitoba deaths, to measure degree of agreement between the two data sets, and to link "cause of death" information from Vital Statistics back to medical histories. A multi-stage approach to matching was adopted. Individual records matching perfectly across a number of relevant variables in the two files were selected first, reducing the number of records going through the probability matching to manageable proportions. Overall, almost 96% of the MHSC records were well matched with Vital Statistics records. Both uses of the matched data and various ways to confirm data quality are discussed.

Entities:  

Mesh:

Year:  1986        PMID: 3948494     DOI: 10.1016/0010-4825(86)90061-2

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  24 in total

1.  Practical introduction to record linkage for injury research.

Authors:  D E Clark
Journal:  Inj Prev       Date:  2004-06       Impact factor: 2.399

2.  Missing values in deduplication of electronic patient data.

Authors:  M Sariyar; A Borg; K Pommerening
Journal:  J Am Med Inform Assoc       Date:  2011-10-15       Impact factor: 4.497

3.  Ignoring dependency between linking variables and its impact on the outcome of probabilistic record linkage studies.

Authors:  Miranda Tromp; Nora Méray; Anita C J Ravelli; Johannes B Reitsma; Gouke J Bonsel
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

4.  Hospital utilization patterns and costs for adult sickle cell patients in Illinois.

Authors:  K Woods; T Karrison; M Koshy; A Patel; P Friedmann; C Cassel
Journal:  Public Health Rep       Date:  1997 Jan-Feb       Impact factor: 2.792

5.  HSR Commentary: Linking VA and Non-VA Data to Address Important US Veteran Health Services Research Issues.

Authors:  Denise M Hynes; Matthew L Maciejewski; David Atkins
Journal:  Health Serv Res       Date:  2018-12       Impact factor: 3.402

6.  Probabilistic record linkage for monitoring the safety of artemisinin-based combination therapy in the first trimester of pregnancy in Senegal.

Authors:  Stephanie Dellicour; Philippe Brasseur; Per Thorn; Oumar Gaye; Piero Olliaro; Malik Badiane; Andy Stergachis; Feiko O ter Kuile
Journal:  Drug Saf       Date:  2013-07       Impact factor: 5.606

7.  Software for health care analysts: a modular approach.

Authors:  L L Roos; A Wajda; S M Sharp; J P Nicol
Journal:  J Med Syst       Date:  1987-12       Impact factor: 4.460

8.  Intelligent Medical Record--entry (IMR-E).

Authors:  D Trace; F Naeymi-Rad; D Haines; J J Robert; F deSouza Almeida; L Carmony; M Evans
Journal:  J Med Syst       Date:  1993-08       Impact factor: 4.460

9.  Development of a statewide trauma registry using multiple linked sources of data.

Authors:  D E Clark
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

10.  Development of a linked perinatal data resource from state administrative and community-based program data.

Authors:  Eric S Hall; Neera K Goyal; Robert T Ammerman; Megan M Miller; David E Jones; Jodie A Short; Judith B Van Ginkel
Journal:  Matern Child Health J       Date:  2014-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.