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Review

Population-Based Linkage of Big Data in Dental Research

1
Department of Reconstructive Dentistry, University Center for Dental Medicine Basel, 4056 Basel, Switzerland
2
Department of Oral Health & Medicine Dentistry, University Center for Dental Medicine Basel, 4056 Basel, Switzerland
3
Department of Clinical Research & Clinical Trial Unit, Faculty of Medicine, University of Basel, 4031 Basel, Switzerland
4
Department of Epidemiology & Public Health, Swiss Tropical & Public Health Institute Basel, University of Basel, 4051 Basel, Switzerland
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(11), 2357; https://doi.org/10.3390/ijerph15112357
Received: 19 October 2018 / Revised: 22 October 2018 / Accepted: 23 October 2018 / Published: 25 October 2018
(This article belongs to the Special Issue Digital Dentistry: The Evolution of Dental Care)
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. View Full-Text
Keywords: big data; patient-generated health data (PGHD); register-based controlled (clinical) trials [RC(C)T]; epidemiological research; public health big data; patient-generated health data (PGHD); register-based controlled (clinical) trials [RC(C)T]; epidemiological research; public health
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MDPI and ACS Style

Joda, T.; Waltimo, T.; Pauli-Magnus, C.; Probst-Hensch, N.; Zitzmann, N.U. Population-Based Linkage of Big Data in Dental Research. Int. J. Environ. Res. Public Health 2018, 15, 2357. https://doi.org/10.3390/ijerph15112357

AMA Style

Joda T, Waltimo T, Pauli-Magnus C, Probst-Hensch N, Zitzmann NU. Population-Based Linkage of Big Data in Dental Research. International Journal of Environmental Research and Public Health. 2018; 15(11):2357. https://doi.org/10.3390/ijerph15112357

Chicago/Turabian Style

Joda, Tim, Tuomas Waltimo, Christiane Pauli-Magnus, Nicole Probst-Hensch, and Nicola U. Zitzmann 2018. "Population-Based Linkage of Big Data in Dental Research" International Journal of Environmental Research and Public Health 15, no. 11: 2357. https://doi.org/10.3390/ijerph15112357

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