Multigenerational Health Research using Population-Based Linked Databases: An International Review

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...

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Autores principales:	Naomi C. Hamm, Amani F Hamad, Elizabeth Wall-Wieler, Leslie L Roos, Oleguer Plana-Ripoll, Lisa M Lix
Formato:	article
Lenguaje:	EN
Publicado:	Swansea University 2021
Materias:	family health history multigenerational observational research population registries record linkage routinely-collected data Demography. Population. Vital events HB848-3697
Acceso en línea:	https://doaj.org/article/862aae10c7cf4c3fad11bfbd4f966c16
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spelling	oai:doaj.org-article:862aae10c7cf4c3fad11bfbd4f966c162021-12-03T15:47:29ZMultigenerational Health Research using Population-Based Linked Databases: An International Review 10.23889/ijpds.v6i1.16862399-4908https://doaj.org/article/862aae10c7cf4c3fad11bfbd4f966c162021-10-01T00:00:00Zhttps://ijpds.org/article/view/1686https://doaj.org/toc/2399-4908 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 health histories. We review and synthesize published literature to compare the attributes of routinely-collected, linked databases for three European sites (Denmark, Norway, Sweden) and three non-European sites (Canadian province of Manitoba, Taiwan, Australian state of Western Australia) with the capability to conduct population-based multigenerational health research. Our review found that European sites primarily identified family structures using population registries, whereas non-European sites used health insurance registries (Manitoba and Taiwan) or linked data from multiple sources (Western Australia). Information on familial status was reported to be available as early as 1947 (Sweden); Taiwan had the fewest years of data available (1995 onwards). All centres reported near complete coverage of familial relationships for their population catchment regions. Challenges in working with these data include differentiating biological and legal relationships, establishing accurate familial linkages over time, and accurately identifying health conditions. This review provides important insights about the benefits and challenges of using routinely-collected, population-based linked databases for conducting population-based multigenerational health research, and identifies opportunities for future research within and across the data-intensive environments at these six sites. Naomi C. HammAmani F HamadElizabeth Wall-WielerLeslie L RoosOleguer Plana-Ripoll Lisa M LixSwansea Universityarticlefamily health historymultigenerationalobservational researchpopulation registriesrecord linkageroutinely-collected dataDemography. Population. Vital eventsHB848-3697ENInternational Journal of Population Data Science, Vol 6, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	family health history multigenerational observational research population registries record linkage routinely-collected data Demography. Population. Vital events HB848-3697
spellingShingle	family health history multigenerational observational research population registries record linkage routinely-collected data Demography. Population. Vital events HB848-3697 Naomi C. Hamm Amani F Hamad Elizabeth Wall-Wieler Leslie L Roos Oleguer Plana-Ripoll Lisa M Lix Multigenerational Health Research using Population-Based Linked Databases: An International Review
description	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 health histories. We review and synthesize published literature to compare the attributes of routinely-collected, linked databases for three European sites (Denmark, Norway, Sweden) and three non-European sites (Canadian province of Manitoba, Taiwan, Australian state of Western Australia) with the capability to conduct population-based multigenerational health research. Our review found that European sites primarily identified family structures using population registries, whereas non-European sites used health insurance registries (Manitoba and Taiwan) or linked data from multiple sources (Western Australia). Information on familial status was reported to be available as early as 1947 (Sweden); Taiwan had the fewest years of data available (1995 onwards). All centres reported near complete coverage of familial relationships for their population catchment regions. Challenges in working with these data include differentiating biological and legal relationships, establishing accurate familial linkages over time, and accurately identifying health conditions. This review provides important insights about the benefits and challenges of using routinely-collected, population-based linked databases for conducting population-based multigenerational health research, and identifies opportunities for future research within and across the data-intensive environments at these six sites.
format	article
author	Naomi C. Hamm Amani F Hamad Elizabeth Wall-Wieler Leslie L Roos Oleguer Plana-Ripoll Lisa M Lix
author_facet	Naomi C. Hamm Amani F Hamad Elizabeth Wall-Wieler Leslie L Roos Oleguer Plana-Ripoll Lisa M Lix
author_sort	Naomi C. Hamm
title	Multigenerational Health Research using Population-Based Linked Databases: An International Review
title_short	Multigenerational Health Research using Population-Based Linked Databases: An International Review
title_full	Multigenerational Health Research using Population-Based Linked Databases: An International Review
title_fullStr	Multigenerational Health Research using Population-Based Linked Databases: An International Review
title_full_unstemmed	Multigenerational Health Research using Population-Based Linked Databases: An International Review
title_sort	multigenerational health research using population-based linked databases: an international review
publisher	Swansea University
publishDate	2021
url	https://doaj.org/article/862aae10c7cf4c3fad11bfbd4f966c16
work_keys_str_mv	AT naomichamm multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT amanifhamad multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT elizabethwallwieler multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT leslielroos multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT oleguerplanaripoll multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT lisamlix multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview
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Multigenerational Health Research using Population-Based Linked Databases: An International Review

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