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Hamm NC, Hamad AF, Wall-Wieler E, et al. Multigenerational health research using population-based linked databases: an international review. Int J Popul Data Sci. 2021;6(1):1686doi: 10.23889/ijpds.v6i1.1686.
Hamm, N. C., Hamad, A. F., Wall-Wieler, E., Roos, L. L., Plana-Ripoll, O., & Lix, L. M. (2021). Multigenerational health research using population-based linked databases: an international review. International journal of population data science, 6(1), 1686. https://doi.org/10.23889/ijpds.v6i1.1686
Hamm, Naomi C, et al. "Multigenerational health research using population-based linked databases: an international review." International journal of population data science vol. 6,1 (2021): 1686. doi: https://doi.org/10.23889/ijpds.v6i1.1686
Hamm NC, Hamad AF, Wall-Wieler E, Roos LL, Plana-Ripoll O, Lix LM. Multigenerational health research using population-based linked databases: an international review. Int J Popul Data Sci. 2021 Oct 07;6(1):1686. doi: 10.23889/ijpds.v6i1.1686. eCollection 2021. PMID: 34734126; PMCID: PMC8530190.
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Int J Popul Data Sci. 2021 Oct 07;6(1):1686. doi: 10.23889/ijpds.v6i1.1686. eCollection 2021.

Multigenerational health research using population-based linked databases: an international review.

International journal of population data science

Naomi C Hamm, Amani F Hamad, Elizabeth Wall-Wieler, Leslie L Roos, Oleguer Plana-Ripoll, Lisa M Lix

Affiliations

  1. Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3.
  2. Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, MB, CANADA, R3E 3P5.
  3. National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, DENMARK, 8210.

PMID: 34734126 PMCID: PMC8530190 DOI: 10.23889/ijpds.v6i1.1686

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 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.

Keywords: family health history; multigenerational; observational research; population registries; record linkage; routinely-collected data

Conflict of interest statement

Statement on conflicts of interest: The authors have no conflicts of interest to declare that are relevant to the content of this article.

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