Literature DB >> 21344122

Accuracy of probabilistic record linkage in the assessment of high-complexity cardiology procedures.

Arn Migowski1, Rogério Brant Martins Chaves, Cláudia Medina Coeli, Antonio Luiz Pinho Ribeiro, Bernardo Rangel Tura, Maria Cristina Caetano Kuschnir, Vitor Manuel Pereira Azevedo, Daniel Brasil Floriano, Carlos Alberto Moreira Magalhães, Márcia Cristina Chagas Macedo Pinheiro, Regina Maria de Aquino Xavier.   

Abstract

OBJECTIVE: To evaluate the viability of a probabilistic record linkage strategy to identify patients who underwent complex cardiology procedures among the total deceased population.
METHODS: The processing cost was estimated based on 1,672 records of patients undergoing coronary artery bypass grafting that were compared with all death records in Brazil in 2005. The accuracy of the linkage strategy was based on the probabilistic linkage of 99 hospital admissions records of patients, with known vital status, who underwent cardiac surgery at a single cardiology institute, with the death records of the state of Rio de Janeiro, Southeastern Brazil, in 2005. Linkage was conducted in four stages: standardizing the databases, blocking, matching, and rating peers. Blocking in five steps was used, with blocking keys formed by a combination of variables such as Soundex codes for the first and last names, sex, and year of birth. The variables used for matching were "full name" with the use of Levenshtein distance and "birth date".
RESULTS: The second and fifth blocking steps resulted in the largest number of formed pairs and the largest processing times for the matching. The fourth step required a lower processing cost. In the accuracy study, after five blocking steps, the sensitivity of the linkage was 90.6%, and the specificity was 100%.
CONCLUSIONS: The probabilistic strategy used has high accuracy and can be used in studies of the effectiveness of high-complexity, high-cost cardiology procedures.

Entities:  

Mesh:

Year:  2011        PMID: 21344122     DOI: 10.1590/s0034-89102011005000012

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  6 in total

1.  The false security of blind dates: chrononymization's lack of impact on data privacy of laboratory data.

Authors:  J J Cimino
Journal:  Appl Clin Inform       Date:  2012-10-24       Impact factor: 2.342

2.  Medium-term outcomes of 78,808 patients after heart valve surgery in a middle-income country: a nationwide population-based study.

Authors:  Regina Maria de Aquino Xavier; Vitor Manuel Pereira Azevedo; Paulo Henrique Godoy; Arn Migowski; Antonio Luiz Pinho Ribeiro; Rogério Brant Martins Chaves; Marcelo Goulart Correia; Carolina de Aquino Xavier; Lucas de Aquino Hashimoto; Clara Weksler; Nelson Albuquerque Souza E Silva
Journal:  BMC Cardiovasc Disord       Date:  2017-12-28       Impact factor: 2.298

3.  Accuracy of a probabilistic record-linkage methodology used to track blood donors in the Mortality Information System database.

Authors:  Ligia Capuani; Ana Luiza Bierrenbach; Fatima Abreu; Pedro Losco Takecian; João Eduardo Ferreira; Ester Cerdeira Sabino
Journal:  Cad Saude Publica       Date:  2014-08       Impact factor: 1.632

4.  Seven years of use of implantable cardioverter-defibrillator therapies: a nationwide population-based assessment of their effectiveness in real clinical settings.

Authors:  Arn Migowski; Antonio Luiz Ribeiro; Marilia Sá Carvalho; Vitor Manuel Pereira Azevedo; Rogério Brant Martins Chaves; Lucas de Aquino Hashimoto; Carolina de Aquino Xavier; Regina Maria de Aquino Xavier
Journal:  BMC Cardiovasc Disord       Date:  2015-03-13       Impact factor: 2.298

Review 5.  Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment.

Authors:  M Sanni Ali; Maria Yury Ichihara; Luciane Cruz Lopes; George C G Barbosa; Robespierre Pita; Roberto Perez Carreiro; Djanilson Barbosa Dos Santos; Dandara Ramos; Nivea Bispo; Fabiana Raynal; Vania Canuto; Bethania de Araujo Almeida; Rosemeire L Fiaccone; Marcos E Barreto; Liam Smeeth; Mauricio L Barreto
Journal:  Front Pharmacol       Date:  2019-09-23       Impact factor: 5.810

6.  Accuracy of probabilistic and deterministic record linkage: the case of tuberculosis.

Authors:  Gisele Pinto de Oliveira; Ana Luiza de Souza Bierrenbach; Kenneth Rochel de Camargo; Cláudia Medina Coeli; Rejane Sobrino Pinheiro
Journal:  Rev Saude Publica       Date:  2016-08-22       Impact factor: 2.106

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.