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...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Swansea University
2021-10-01
|
Series: | International Journal of Population Data Science |
Subjects: | |
Online Access: | https://ijpds.org/article/view/1686 |
id |
doaj-862aae10c7cf4c3fad11bfbd4f966c16 |
---|---|
record_format |
Article |
spelling |
doaj-862aae10c7cf4c3fad11bfbd4f966c162021-10-10T17:56:34ZengSwansea UniversityInternational Journal of Population Data Science2399-49082021-10-016110.23889/ijpds.v6i1.1686Multigenerational Health Research using Population-Based Linked Databases: An International Review Naomi C. Hamm0Amani F Hamad1Elizabeth Wall-Wieler2Leslie L Roos3Oleguer Plana-Ripoll 4Lisa M Lix5Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3; Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, MB, CANADA, R3E 3P5Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3; Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, MB, CANADA, R3E 3P5National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, DENMARK, 8210Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3 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. https://ijpds.org/article/view/1686family health historymultigenerationalobservational researchpopulation registriesrecord linkageroutinely-collected data |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Naomi C. Hamm Amani F Hamad Elizabeth Wall-Wieler Leslie L Roos Oleguer Plana-Ripoll Lisa M Lix |
spellingShingle |
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 International Journal of Population Data Science family health history multigenerational observational research population registries record linkage routinely-collected data |
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 |
series |
International Journal of Population Data Science |
issn |
2399-4908 |
publishDate |
2021-10-01 |
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.
|
topic |
family health history multigenerational observational research population registries record linkage routinely-collected data |
url |
https://ijpds.org/article/view/1686 |
work_keys_str_mv |
AT naomichamm multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT amanifhamad multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT elizabethwallwieler multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT leslielroos multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT oleguerplanaripoll multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview AT lisamlix multigenerationalhealthresearchusingpopulationbasedlinkeddatabasesaninternationalreview |
_version_ |
1716829359534243840 |