Multigenerational health research using population-based linked databases: an international review
| Autor: | Oleguer Plana-Ripoll, Elizabeth Wall-Wieler, Naomi C. Hamm, Lisa M. Lix, Amani F. Hamad, Leslie L. Roos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multigenerational
Observational research Canada Information Systems and Management Databases Factual Population Family health history family health history Health Informatics computer.software_genre Record linkage Health care HB848-3697 Registries education Demography Population Data Science education.field_of_study Demography. Population. Vital events Database business.industry Australia Linked data Routinely-collected data Risk factor (computing) observational research Population registries Geography population registries record linkage Observational study routinely-collected data business Construct (philosophy) computer multigenerational Information Systems Forecasting |
| Zdroj: | International Journal of Population Data Science International Journal of Population Data Science, Vol 6, Iss 1 (2021) 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, vol. 6, no. 1 . https://doi.org/10.23889/ijpds.v6i1.1686 |
| ISSN: | 2399-4908 |
| DOI: | 10.23889/ijpds.v6i1.1686 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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