Literature DB >> 18258671

Record linkage software in the public domain: a comparison of Link Plus, The Link King, and a 'basic' deterministic algorithm.

Kevin M Campbell1, Dennis Deck, Antoinette Krupski.   

Abstract

The study objective was to compare the accuracy of a deterministic record linkage algorithm and two public domain software applications for record linkage (The Link King and Link Plus). The three algorithms were used to unduplicate an administrative database containing personal identifiers for over 500,000 clients. Subsequently, a random sample of linked records was submitted to four research staff for blinded clerical review. Using reviewers' decisions as the 'gold standard', sensitivity and positive predictive values (PPVs) were estimated. Optimally, sensitivity and PPVs in the mid 90s could be obtained from both The Link King and Link Plus. Sensitivity and PPVs using a basic deterministic algorithm were 79 and 98 per cent respectively. Thus the full feature set of The Link King makes it an attractive option for SAS users. Link Plus is a good choice for non-SAS users as long as necessary programming resources are available for processing record pairs identified by Link Plus.

Mesh:

Year:  2008        PMID: 18258671     DOI: 10.1177/1460458208088855

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  45 in total

1.  Measuring the Degree of Unmatched Patient Records in a Health Information Exchange Using Exact Matching.

Authors:  John Zech; Gregg Husk; Thomas Moore; Jason S Shapiro
Journal:  Appl Clin Inform       Date:  2016-05-11       Impact factor: 2.342

2.  A benchmark comparison of deterministic and probabilistic methods for defining manual review datasets in duplicate records reconciliation.

Authors:  Erel Joffe; Michael J Byrne; Phillip Reeder; Jorge R Herskovic; Craig W Johnson; Allison B McCoy; Dean F Sittig; Elmer V Bernstam
Journal:  J Am Med Inform Assoc       Date:  2013-05-23       Impact factor: 4.497

3.  A New Method to Classify Injury Severity by Diagnosis: Validation Using Workers' Compensation and Trauma Registry Data.

Authors:  Jeanne M Sears; Stephen M Bowman; Mary Rotert; Sheilah Hogg-Johnson
Journal:  J Occup Rehabil       Date:  2015-12

4.  Cross-system data linkage for treatment outcome evaluation: lessons learned from the California Treatment Outcome Project.

Authors:  Yih-Ing Hser; Elizabeth Evans
Journal:  Eval Program Plann       Date:  2008-02-19

5.  An empiric modification to the probabilistic record linkage algorithm using frequency-based weight scaling.

Authors:  Vivienne J Zhu; Marc J Overhage; James Egg; Stephen M Downs; Shaun J Grannis
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

6.  I am Not Dead Yet: Identification of False-Positive Matches to Death Master File.

Authors:  Alexander Turchin; Maria Shubina; Shawn N Murphy
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  Performance measures and racial/ethnic disparities in the treatment of substance use disorders.

Authors:  Andrea Acevedo; Deborah W Garnick; Robert Dunigan; Constance M Horgan; Grant A Ritter; Margaret T Lee; Lee Panas; Kevin Campbell; Karin Haberlin; Dawn Lambert-Wacey; Tracy Leeper; Mark Reynolds; David Wright
Journal:  J Stud Alcohol Drugs       Date:  2015-01       Impact factor: 2.582

8.  A practical approach to achieve private medical record linkage in light of public resources.

Authors:  Mehmet Kuzu; Murat Kantarcioglu; Elizabeth Ashley Durham; Csaba Toth; Bradley Malin
Journal:  J Am Med Inform Assoc       Date:  2012-07-30       Impact factor: 4.497

9.  Case identification of work-related traumatic brain injury using the occupational injury and illness classification system.

Authors:  Jeanne M Sears; Janessa M Graves; Laura Blanar; Stephen M Bowman
Journal:  J Occup Environ Med       Date:  2013-05       Impact factor: 2.162

10.  Overview of the Canadian pediatric end-stage renal disease database.

Authors:  Susan M Samuel; Marcello A Tonelli; Bethany J Foster; Alberto Nettel-Aguirre; Yingbo Na; Robert Williams; Andrea Soo; Brenda R Hemmelgarn
Journal:  BMC Nephrol       Date:  2010-08-26       Impact factor: 2.388

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.