Challenges in administrative data linkage for research

Detalhes bibliográficos
Autor(a) principal: Harron, Katie
Data de Publicação: 2017
Outros Autores: Dibben, Chris, Boyd, James, Hjern, Anders, Azimaee, Mahmoud, Barreto, Maurício Lima, Goldstein, Harvey
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/26646
Resumo: Wellcome Trust [número de concessão 103975 / Z / 14 / Z]
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spelling Harron, KatieDibben, ChrisBoyd, JamesHjern, AndersAzimaee, MahmoudBarreto, Maurício LimaGoldstein, Harvey2018-05-25T14:19:11Z2018-05-25T14:19:11Z2017HARRON, Katie et al. Challenges in administrative data linkage for research. Big Data & Society, p. 1–12, 2017.2053-9517https://www.arca.fiocruz.br/handle/icict/2664610.1177/2053951717745678Wellcome Trust [número de concessão 103975 / Z / 14 / Z]London School of Hygiene & Tropical Medicine. Department of Health Services Research and Policy. London, UK.University of Edinburgh. Institute of Geography and the Lived nvironment. Edinburgh, UK.Curtin University. Centre for Population Health Research. Perth, Australia.Stockholm University. CHESS Karolinska Institutet. Stockholm, Sweden.Institute for Clinical Evaluative Sciences. Toronto, Canada.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil.University of Bristol. Graduate School of Education. Bristol, UK / UCL Great Ormond Street Institute of Child Health. London, UK.Linkage of population-based administrative data is a valuable tool for combining detailed individual-level information from different sources for research. While not a substitute for classical studies based on primary data collection, analyses of linked administrative data can answer questions that require large sample sizes or detailed data on hard-to-reach populations, and generate evidence with a high level of external validity and applicability for policy making. There are unique challenges in the appropriate research use of linked administrative data, for example with respect to bias from linkage errors where records cannot be linked or are linked together incorrectly. For confidentiality and other reasons, the separation of data linkage processes and analysis of linked data is generally regarded as best practice. However, the ‘black box’ of data linkage can make it difficult for researchers to judge the reliability of the resulting linked data for their required purposes. This article aims to provide an overview of challenges in linking administrative data for research. We aim to increase understanding of the implications of (i) the data linkage environment and privacy preservation; (ii) the linkage process itself (including data preparation, and deterministic and probabilistic linkage methods) and (iii) linkage quality and potential bias in linked data. We draw on examples from a number of countries to illustrate a range of approaches for data linkage in different contexts.engSAGE PublicationsLigação de dadosVinculação de registrosEstudos epidemiológicosErro de mediçãoViés de seleçãoDados administrativos de precisão de dadosData linkageRecord linkageEpidemiological studiesMeasurement errorSelection biasData accuracy administrative dataChallenges in administrative data linkage for researchinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/26646/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALHarron K Challenges ....pdfHarron K Challenges 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dc.title.pt_BR.fl_str_mv Challenges in administrative data linkage for research
title Challenges in administrative data linkage for research
spellingShingle Challenges in administrative data linkage for research
Harron, Katie
Ligação de dados
Vinculação de registros
Estudos epidemiológicos
Erro de medição
Viés de seleção
Dados administrativos de precisão de dados
Data linkage
Record linkage
Epidemiological studies
Measurement error
Selection bias
Data accuracy administrative data
title_short Challenges in administrative data linkage for research
title_full Challenges in administrative data linkage for research
title_fullStr Challenges in administrative data linkage for research
title_full_unstemmed Challenges in administrative data linkage for research
title_sort Challenges in administrative data linkage for research
author Harron, Katie
author_facet Harron, Katie
Dibben, Chris
Boyd, James
Hjern, Anders
Azimaee, Mahmoud
Barreto, Maurício Lima
Goldstein, Harvey
author_role author
author2 Dibben, Chris
Boyd, James
Hjern, Anders
Azimaee, Mahmoud
Barreto, Maurício Lima
Goldstein, Harvey
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Harron, Katie
Dibben, Chris
Boyd, James
Hjern, Anders
Azimaee, Mahmoud
Barreto, Maurício Lima
Goldstein, Harvey
dc.subject.other.pt_BR.fl_str_mv Ligação de dados
Vinculação de registros
Estudos epidemiológicos
Erro de medição
Viés de seleção
Dados administrativos de precisão de dados
topic Ligação de dados
Vinculação de registros
Estudos epidemiológicos
Erro de medição
Viés de seleção
Dados administrativos de precisão de dados
Data linkage
Record linkage
Epidemiological studies
Measurement error
Selection bias
Data accuracy administrative data
dc.subject.en.pt_BR.fl_str_mv Data linkage
Record linkage
Epidemiological studies
Measurement error
Selection bias
Data accuracy administrative data
description Wellcome Trust [número de concessão 103975 / Z / 14 / Z]
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2018-05-25T14:19:11Z
dc.date.available.fl_str_mv 2018-05-25T14:19:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv HARRON, Katie et al. Challenges in administrative data linkage for research. Big Data & Society, p. 1–12, 2017.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/26646
dc.identifier.issn.pt_BR.fl_str_mv 2053-9517
dc.identifier.doi.pt_BR.fl_str_mv 10.1177/2053951717745678
identifier_str_mv HARRON, Katie et al. Challenges in administrative data linkage for research. Big Data & Society, p. 1–12, 2017.
2053-9517
10.1177/2053951717745678
url https://www.arca.fiocruz.br/handle/icict/26646
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
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institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
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