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Population-based linkage of big data in dental research

Joda, Tim and Waltimo, Tuomas and Pauli-Magnus, Christiane and Probst-Hensch, Nicole and Zitzmann, Nicola U.. (2018) Population-based linkage of big data in dental research. International journal of environmental research and public health, 15 (11). p. 2357.

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Official URL: https://edoc.unibas.ch/66696/

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Abstract

Population-based linkage of patient-level information opens new strategies for dental research to identify unknown correlations of diseases, prognostic factors, novel treatment concepts and evaluate healthcare systems. As clinical trials have become more complex and inefficient, register-based controlled (clinical) trials (RC(C)T) are a promising approach in dental research. RC(C)Ts provide comprehensive information on hard-to-reach populations, allow observations with minimal loss to follow-up, but require large sample sizes with generating high level of external validity. Collecting data is only valuable if this is done systematically according to harmonized and inter-linkable standards involving a universally accepted general patient consent. Secure data anonymization is crucial, but potential re-identification of individuals poses several challenges. Population-based linkage of big data is a game changer for epidemiological surveys in Public Health and will play a predominant role in future dental research by influencing healthcare services, research, education, biotechnology, insurance, social policy and governmental affairs.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Genetic Epidemiology of Non-Communicable Diseases (Probst-Hensch)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Genetic Epidemiology of Non-Communicable Diseases (Probst-Hensch)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
UniBasel Contributors:Probst Hensch, Nicole
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1660-4601
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
Last Modified:22 Nov 2018 12:40
Deposited On:22 Nov 2018 12:40

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