Population-Based Linkage of Big Data in Dental Research
Abstract
1. Introduction
2. Data Collection and Processing
3. Protection of Human Rights
4. Implications for the Healthcare System
5. Role of Academia
6. Role of Private Professionals
7. Conclusions
- Systematic filtering of patients for prospective research applying trial-specific inclusion criteria;
- High quality clinical research with large-scale sample sizes and accelerated recruitment;
- Immediate access to clustered retrospective data;
- Scientific evidence with low bias and high levels of external validity;
- Simplified translation from laboratory to clinical science;
- Epidemiological surveys for Public Health related statistics; and
- Early identification of future research needs.
Author Contributions
Funding
Conflicts of Interest
References
- Harron, K.L.; Doidge, J.C.; Knight, H.E.; Gilbert, R.E.; Goldstein, H.; Cromwell, D.A.; van der Meulen, J. A guide to evaluating linkage quality for the analysis of linked data. Int. J. Epidemiol. 2017, 46, 1699–1710. [Google Scholar] [CrossRef] [PubMed]
- Jorm, L. Routinely collected data as a strategic resource for research: Priorities for methods and workforce. Public Health Res. Pract. 2015, 25, e2541540. [Google Scholar] [CrossRef] [PubMed]
- Aldridge, R.W.; Shaji, K.; Hayward, A.C.; Abubakar, I. Accuracy of probabilistic linkage using the enhanced matching system for public health and epidemiological studies. PLoS ONE 2015, 10, e0136179. [Google Scholar] [CrossRef] [PubMed]
- Kolata, G. 2017. Available online: www.nytimes.com/2017/08/12/health/cancer-drug-trials-encounter-a-problem-too-few-patients.html (accessed on 12 August 2017).
- Jutte, D.P.; Roos, L.L.; Brownell, M.D. Administrative record linkage as a tool for public health research. Annu. Rev. Public Health 2011, 32, 91–108. [Google Scholar] [CrossRef] [PubMed]
- Hashimoto, R.E.; Brodt, E.D.; Skelly, A.C.; Dettori, J.R. Administrative database studies: Goldmine or goose chase? Evid.-Based Spine Care J. 2014, 5, 74–76. [Google Scholar] [PubMed]
- Tokede, O.; White, J.; Stark, P.C.; Vaderhobli, R.; Walji, M.F.; Ramoni, R.; Schoonheim-Klein, M.; Kimmes, N.; Tavares, A.; Kalenderian, E. Assessing use of a standardized dental diagnostic terminology in an electronic health record. J. Dent. Educ. 2013, 77, 24–36. [Google Scholar] [PubMed]
- Kelman, C.W.; Bass, A.J.; Holman, C.D. Research use of linked health data: A best practice protocol. Aust. N. Z. J. Public Health 2002, 26, 251–255. [Google Scholar] [CrossRef] [PubMed]
- Benitez, K.; Malin, B. Evaluating re-identification risks with respect to the HIPAA privacy rule. J. Am. Med. Inform. Assoc. 2010, 17, 169–177. [Google Scholar] [CrossRef] [PubMed]
- Brown, A.P.; Borgs, C.; Randall, S.M.; Schnell, R. Evaluating privacy-preserving record linkage using cryptographic long-term keys and multibit trees on large medical datasets. BMC Med. Inform. Decis. Mak. 2017, 17, 83. [Google Scholar] [CrossRef] [PubMed]
- Ludvigsson, J.F.; Otterblad-Olausson, P.; Pettersson, B.U.; Ekbom, A. The swedish personal identity number: Possibilities and pitfalls in healthcare and medical research. Eur. J. Epidemiol. 2009, 24, 659–667. [Google Scholar] [CrossRef] [PubMed]
- Obadan-Udoh, E.; Simon, L.; Etolue, J.; Tokede, O.; White, J.; Spallek, H.; Kalenderian, M.W.E. Dental providers’ perspectives on diagnosis-driven dentistry: Strategies to enhance adoption of dental diagnostic terminology. Int. J. Environ. Res. Public Health 2017, 14, 767. [Google Scholar] [CrossRef] [PubMed]
- Connelly, R.; Playford, C.J.; Gayle, V.; Dibben, C. The role of administrative data in the big data revolution in social science research. Soc. Sci. Res. 2016, 59, 1–12. [Google Scholar] [CrossRef] [PubMed]
- Jones, K.H.; Laurie, G.; Stevens, L.; Dobbs, C.; Ford, D.V.; Lea, N. The other side of the coin: Harm due to the non-use of health-related data. Int. J. Med. Inform. 2017, 97, 43–51. [Google Scholar] [CrossRef] [PubMed]
- Zhu, V.J.; Overhage, M.J.; Downs, J.E.S.M.; Grannis, S.J. An empiric modification to the probabilistic record linkage algorithm using frequency-based weight scaling. J. Am. Med. Inform. Assoc. 2009, 16, 738–745. [Google Scholar] [CrossRef] [PubMed][Green Version]
- Weber, G.M.; Mandl, K.D.; Kohane, I.S. Finding the missing link for big biomedical data. J. Am. Med. Assoc. 2014, 311, 2479–2480. [Google Scholar] [CrossRef] [PubMed]
- Glick, M. Taking a byte out of big data. J. Am. Dent. Assoc. 2015, 146, 793–794. [Google Scholar] [CrossRef] [PubMed]
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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
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 StyleJoda, 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
APA StyleJoda, T., Waltimo, T., Pauli-Magnus, C., Probst-Hensch, N., & Zitzmann, N. U. (2018). Population-Based Linkage of Big Data in Dental Research. International Journal of Environmental Research and Public Health, 15(11), 2357. https://doi.org/10.3390/ijerph15112357