ArticleCadernos de saude publica2014
Accuracy of a probabilistic record-linkage methodology used to track blood donors in the Mortality Information System database.
Article in Cadernos de saude publica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Mortality from sickle cell disease in Brazil.PLOS global public health · 2025Article
- Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method.BMC medical research methodology · 2022Article
- Incidence and Predictors of Progression to Chagas Cardiomyopathy: Long-Term Follow-Up ofCirculation · 2021Article
- Linkage of Hospital Records and Death Certificates by a Search Engine and Machine Learning.JAMIA open · 2021Article
- Impact on mortality of being seropositive for hepatitis C virus antibodies among blood donors in Brazil: A twenty-year study.PloS one · 2019Article
- Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment.Frontiers in pharmacology · 2019Review
- Building Linked Big Data for Stroke in Korea: Linkage of Stroke Registry and National Health Insurance Claims Data.Journal of Korean medical science · 2018Article
- Mortality among blood donors seropositive and seronegative for Chagas disease (1996-2000) in São Paulo, Brazil: A death certificate linkage study.PLoS neglected tropical diseases · 2017Article
- Hepatitis C among blood donors: cascade of care and predictors of loss to follow-up.Revista de saude publica · 2017Article
- Accuracy of probabilistic and deterministic record linkage: the case of tuberculosis.Revista de saude publica · 2016Article
- Cardiovascular mortality among a cohort of hypertensive and normotensives in Rio de Janeiro - Brazil - 1991-2009.BMC public health · 2015Article
- Survival analysis over a 20-year period of a Brazilian cohort of blood donors coinfected HIV-HCV.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
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6 authors.
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Abstract
The probabilistic record linkage (PRL) is based on a likelihood score that measures the degree of similarity of several matching variables. Screening test results for different diseases are available for the blood donor population. In this paper, we describe the accuracy of a PRL process used to track blood donors from the Fundação Pró-Sangue (FPS) in the Mortality Information System (SIM), in order that future studies might determine the blood donor's cause of death. The databases used for linkage were SIM and the database made up of individuals that were living (200 blood donors in 2007) and dead (196 from the Hospital das Clinicas de São Paulo that died in 2001-2005). The method consists of cleaning and linking the databases using three blocking steps comparing the variables "Name/Mother's Name/ Date of Birth" to determine a cut-off score. For a cut-off score of 7.06, the sensitivity and specificity of the method is 94.4% (95%CI: 90.0-97.0) and 100% (95%CI: 98.0-100.0), respectively. This method can be used in studies that aim to track blood donors from the FPS database in SIM.
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