2021
DOI: 10.23889/ijpds.v6i1.1686
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Multigenerational Health Research using Population-Based Linked Databases: An International Review

Abstract: Family health history is a well-established risk factor for many health conditions but the systematic collection of health histories, particularly for multiple generations and multiple family members, can be challenging. Routinely-collected electronic databases in a select number of sites worldwide offer a powerful tool to conduct multigenerational health research for entire populations. At these sites, administrative and healthcare records are used to construct familial relationships and objectively-measured … Show more

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Cited by 3 publications
(3 citation statements)
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“…We retrieved the family health history for multiple generations and the relationship between children and their birth parents by linking the 2009 to the 2019 NHIRD, Birth Registration Database, and National Death Index Database 17 to generate population‐based evidence about the factors associated with CP in the birth cohort born between 2010 and 2016. Databases were linked using the encrypted National Identification Card Number and centralized in Taiwan's Health and Welfare Data Science Center.…”
Section: Methodsmentioning
confidence: 99%
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“…We retrieved the family health history for multiple generations and the relationship between children and their birth parents by linking the 2009 to the 2019 NHIRD, Birth Registration Database, and National Death Index Database 17 to generate population‐based evidence about the factors associated with CP in the birth cohort born between 2010 and 2016. Databases were linked using the encrypted National Identification Card Number and centralized in Taiwan's Health and Welfare Data Science Center.…”
Section: Methodsmentioning
confidence: 99%
“…We identified birth information from the Birth Registration Database, including birthweight, gestational age, multiple births, and mode of delivery. Information on the survival status of infants was obtained from the National Death Index Database 17 . The institutional review board (equivalent to the human research ethics committee) of Chung Shan Medical University Hospital approved the study (no.…”
Section: Methodsmentioning
confidence: 99%
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