The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis.

Nicola Brew-Sam, Anne Parkinson, Christian Lueck, Ellen Brown, Karen Brown, Anne Bruestle, Katrina Chisholm, Simone Collins, Matthew Cook, Eleni Daskalaki, Janet Drew, Harry Ebbeck, Mark Elisha, Vanessa Fanning, Adam Henschke, Jessica Herron, Emma Matthews, Krishnan Murugappan, Dragomir Neshev, Christopher J Nolan, Lachlan Pedley, Christine Phillips, Hanna Suominen, Antonio Tricoli, Kristine Wright, Jane Desborough
Author Information
  1. Nicola Brew-Sam: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia Nicola.Brew-Sam@anu.edu.au. ORCID
  2. Anne Parkinson: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  3. Christian Lueck: School of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  4. Ellen Brown: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  5. Karen Brown: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  6. Anne Bruestle: The John Curtin School of Medical Research, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  7. Katrina Chisholm: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  8. Simone Collins: The Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia.
  9. Matthew Cook: The John Curtin School of Medical Research, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  10. Eleni Daskalaki: School of Computing, College of Engineering and Computer Science, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  11. Janet Drew: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  12. Harry Ebbeck: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.
  13. Mark Elisha: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  14. Vanessa Fanning: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  15. Adam Henschke: Department of Philosophy, University of Twente, Enschede, Overijssel, The Netherlands. ORCID
  16. Jessica Herron: The Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia.
  17. Emma Matthews: The Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia.
  18. Krishnan Murugappan: Nanotechnology Research Lab, Research School of Chemistry, College of Science, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  19. Dragomir Neshev: Department of Electronic Materials Engineering, Research School of Physics, College of Science, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  20. Christopher J Nolan: School of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  21. Lachlan Pedley: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  22. Christine Phillips: School of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  23. Hanna Suominen: School of Computing, College of Engineering and Computer Science, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  24. Antonio Tricoli: Nanotechnology Research Lab, Research School of Chemistry, College of Science, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID
  25. Kristine Wright: The Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia. ORCID
  26. Jane Desborough: National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. ORCID

Abstract

INTRODUCTION: The terms 'precision medicine' and 'personalised medicine' have become key terms in health-related research and in science-related public communication. However, the application of these two concepts and their interpretation in various disciplines are heterogeneous, which also affects research translation and public awareness. This leads to confusion regarding the use and distinction of the two concepts. Our aim is to provide a snapshot of the current understanding of these concepts.
METHODS AND ANALYSIS: Our study will use Rodgers' evolutionary concept analysis to systematically examine the current understanding of the concepts 'precision medicine' and 'personalised medicine' in clinical medicine, biomedicine (incorporating genomics and bioinformatics), health services research, physics, chemistry, engineering, machine learning and artificial intelligence, and to identify their respective attributes (clusters of characteristics) and surrogate and related terms. A systematic search of the literature will be conducted for 2016-2022 using databases relevant to each of these disciplines: ACM Digital Library, CINAHL, Cochrane Library, F1000Research, IEEE Xplore, PubMed/Medline, Science Direct, Scopus and Web of Science. These are among the most representative databases for the included disciplines. We will examine similarities and differences in definitions of 'precision medicine' and 'personalised medicine' in the respective disciplines and across (sub)disciplines, including attributes of each term. This will enable us to determine how these two concepts are distinguished.
ETHICS AND DISSEMINATION: Following ethical and research standards, we will comprehensively report the methodology for a systematic analysis following Rodgers' concept analysis method. Our systematic concept analysis will contribute to the clarification of the two concepts and distinction in their application in given settings and circumstances. Such a broad concept analysis will contribute to non-systematic syntheses of the concepts, or occasional systematic reviews on one of the concepts that have been published in specific disciplines, in order to facilitate interdisciplinary communication, translational medical research and implementation science.

Keywords

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MeSH Term

Humans
Artificial Intelligence
Machine Learning
Precision Medicine
Systematic Reviews as Topic

Word Cloud

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