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Population-Based Linkage of Big Data in Dental Research

Author

Listed:
  • Tim Joda

    (Department of Reconstructive Dentistry, University Center for Dental Medicine Basel, 4056 Basel, Switzerland)

  • Tuomas Waltimo

    (Department of Oral Health & Medicine Dentistry, University Center for Dental Medicine Basel, 4056 Basel, Switzerland)

  • Christiane Pauli-Magnus

    (Department of Clinical Research & Clinical Trial Unit, Faculty of Medicine, University of Basel, 4031 Basel, Switzerland)

  • Nicole Probst-Hensch

    (Department of Epidemiology & Public Health, Swiss Tropical & Public Health Institute Basel, University of Basel, 4051 Basel, Switzerland)

  • Nicola U. Zitzmann

    (Department of Reconstructive Dentistry, University Center for Dental Medicine Basel, 4056 Basel, Switzerland)

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.

Suggested Citation

  • Tim Joda & Tuomas Waltimo & Christiane Pauli-Magnus & Nicole Probst-Hensch & Nicola U. Zitzmann, 2018. "Population-Based Linkage of Big Data in Dental Research," IJERPH, MDPI, vol. 15(11), pages 1-5, October.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:11:p:2357-:d:178210
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    References listed on IDEAS

    as
    1. Enihomo Obadan-Udoh & Lisa Simon & Jini Etolue & Oluwabunmi Tokede & Joel White & Heiko Spallek & Muhammad Walji & Elsbeth Kalenderian, 2017. "Dental Providers’ Perspectives on Diagnosis-Driven Dentistry: Strategies to Enhance Adoption of Dental Diagnostic Terminology," IJERPH, MDPI, vol. 14(7), pages 1-10, July.
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    Cited by:

    1. Tim Joda & Michael M. Bornstein & Ronald E. Jung & Marco Ferrari & Tuomas Waltimo & Nicola U. Zitzmann, 2020. "Recent Trends and Future Direction of Dental Research in the Digital Era," IJERPH, MDPI, vol. 17(6), pages 1-8, March.

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