Using Large Cohort Data to Strengthen Information-Based Public Health Policies: An Appeal to Portuguese Authorities

Inês Fronteira; Frederik Schaltz-Buchholzer; Christine Stabell Benn; Paulo Ferrinho; Henrique Barros

doi:10.20344/amp.21329

Using Large Cohort Data to Strengthen Information-Based Public Health Policies: An Appeal to Portuguese Authorities

Authors

Inês Fronteira * Equally shared authorship position. Comprehensive Health Research Centre (CHRC). NOVA Medical School. Universidade NOVA de Lisboa. Lisbon; Associação Portuguesa de Epidemiologia. Porto. https://orcid.org/0000-0003-1406-4585
Frederik Schaltz-Buchholzer Odense Patient data Explorative Network (OPEN). Bandim Health Project. Institute of Clinical Research. Odense University Hospital/University of Southern Denmark. Odense. https://orcid.org/0000-0001-7643-8322
Christine Stabell Benn Odense Patient data Explorative Network (OPEN). Bandim Health Project. Institute of Clinical Research. Odense University Hospital/University of Southern Denmark. Odense; Danish Institute for Advanced Study. University of Southern Denmark. Odense. https://orcid.org/0000-0001-6102-3810
Paulo Ferrinho * Equally shared authorship position. Associação Portuguesa de Epidemiologia. Porto; Global Health and Tropical Medicine. Instituto de Higiene e Medicina. Universidade NOVA de Lisboa. Lisbon. https://orcid.org/0000-0002-3722-0803
Henrique Barros * Equally shared authorship position. Epidemiology Research Unit (EPIUnit). Instituto de Saúde Pública. Universidade do Porto. Porto; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR). Porto; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica. Faculdade de Medicina. Universidade do Porto. Porto. https://orcid.org/0000-0003-4699-6571

DOI:

https://doi.org/10.20344/amp.21329

Keywords:

Biomedical Research, Health Information Management, Datasets, Portugal, Public Health, Registries, Research Design

Abstract

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References

Rod NH, Andersen TO, Severinsen ER, Sejling C, Dissing A, Pham VT, et al. Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data. BMJ Open. 2023;13:e063588. DOI: https://doi.org/10.1136/bmjopen-2022-063588

Karlstad Ø, Hovi P, Husby A, Härkänen T, Selmer RM, Pihlström N, et al. SARS-CoV-2 vaccination and myocarditis in a Nordic cohort study of 23 million residents. JAMA Cardiol. 2022;7:600-12. DOI: https://doi.org/10.1001/jamacardio.2022.0583

Maret-Ouda J, Tao W, Wahlin K, Lagergren J. Nordic registry-based cohort studies: possibilities and pitfalls when combining Nordic registry data. Scand J Public Health. 2017;45:s14-9. DOI: https://doi.org/10.1177/1403494817702336

Laugesen K, Ludvigsson JF, Schmidt M, Gissler M, Valdimarsdottir UA, Lunde A, et al. Nordic health registry-based research: a review of health care systems and key registries. Clin Epidemiol. 2021;13:533-54. DOI: https://doi.org/10.2147/CLEP.S314959

Statistics Denmark. Data for research. [cited 2024 Jan 23]. Available from: https://www.dst.dk/en/TilSalg/Forskningsservice.

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Published

2024-05-02

How to Cite

Fronteira I, Schaltz-Buchholzer F, Stabell Benn C, Ferrinho P, Barros H. Using Large Cohort Data to Strengthen Information-Based Public Health Policies: An Appeal to Portuguese Authorities. Acta Med Port [Internet]. 2024 May 2 [cited 2026 Jul. 12];37(5):409-10. Available from: https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/21329

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Issue

Vol. 37 No. 5 (2024): May

Section

Letters to the Editor

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