The words of prevention, part II: ten terms in the realm of quaternary prevention
DOI:
https://doi.org/10.5712/rbmfc10(35)1063Keywords:
Quaternary Prevention, Family Practice, Terminology as Topics, Semantics.Abstract
Objective: This part II article about the ‘words of prevention’ presents in a terminological way the content of ten current concepts used in the prevention domain which are closely linked to quaternary prevention: (1) overinformation, (2) overdiagnosis, (3) medically unexplained symptoms, (4) overmedicalisation, (5) incidentaloma, (6) overscreening, (7) overtreatment, (8) shared decision making, (9) deprescribing, and (10) disease mongering. Methods: with the support of the laboratory team of the University of Rouen, France, which is dedicated to medical terminology and semantic relationships, it was possible to utilize a graphic user interface (called DBGUI) allowing the construction of links for each of chosen terms, and making automatic links to MeSH, if any. Those concepts are analyzed in their environment in current literature, as well as in their MeSH counterparts, if any, and related semantic online terminologies. Results and Discussion: The rules in terminological development aspire to cover the whole field of a concept and in the meantime, it helps to avoid the noise due to proxy and not exactly related issues. This refers to exhaustivity and specificity in information retrieval. Our finds show that referring to MeSH only in information retrieval in General Practice/Family medicine can induce much noise and poor adequacy to the subject investigated. Conclusion: Gathering concepts in specially prepared terminologies for further development of ontologies is a necessity to enter in the semantic web area and the era of distributed data.
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Eco U. Experiences in translation. University of Toronto Press: Scholarly Publishing Division; 2000. 112 p.
Moffett J. Teaching the universe of discourse. Boston: Houghton Mifflin Company; 1967.
Ben Abacha A, Zweigenbaum P. Automatic extraction of semantic relations between medical entities: a rule based approach. J Biomed Semantics. 2011;2(Suppl 5):S4. http://dx.doi.org/10.1186/2041-1480-2-S5-S4. PMid:22166723. DOI: https://doi.org/10.1186/2041-1480-2-S5-S4
Jamoulle M. Q-Codes, authority list of non-clinical descriptors in GP/FM. Version 20150221. [cited 2015 June 17] Available from: http://docpatient.net/3CGP/Q-codes_4_languages.htm
De Vito EL. Quaternary prevention, a term not yet included in the Medical Subject Heading (MESH). Medicina (B Aires). 2013;73(2):187-190. PMid:23570772.
Morgan DJ, Wright SM, Dhruva S. Update on medical overuse. JAMA Intern Med. 2015;175(1):120-124. PMid:25365707. DOI: https://doi.org/10.1001/jamainternmed.2014.5444
Rouen Institute for Research and Innovation in Biomedicine. Research Team EA 4108-TIBS: Group TIBS. LITIS. 2012. [cited 2015 Jun 17]. Available from: http://irib.univ-rouen.fr/index.php?info=entites&id=54.
Grosjean J, Griffon N, Dahamna B, Darmoni S. Multiterminology cross-lingual model to create the European health terminology. In: Proceedings of the 9th International Conference on Terminology and Artificial Intelligence; 2011. Paris: Institut National des Langues et Civilisations Orientales; 2011. p. 119-122.
Jamoulle M, Cardillo E, Roumier J, Warnier M, Vander Stichele R. Mapping French terms in a Belgian guideline on heart failure to international classifications and nomenclatures: the devil is in the detail. Inform Prim Care. 2014;21(4):189-198.
http://dx.doi.org/10.14236/jhi.v21i4.66. PMid:25479349. DOI: https://doi.org/10.14236/jhi.v21i4.66
Navigli R, Ponzetto SP. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artif Intell. 2012;193:217-250. http://dx.doi.org/10.1016/j.artint.2012.07.001. DOI: https://doi.org/10.1016/j.artint.2012.07.001
Yamamoto Y, Yamaguchi A, Yonezawa A. Building Linked Open Data towards integration of biomedical scientific literature with DBpedia. J Biomed Semantics. 2013;4(1):8. http://dx.doi.org/10.1186/2041-1480-4-8. PMid:23497538. DOI: https://doi.org/10.1186/2041-1480-4-8
Lehmann, J, Isele, R, Jakob, M, Jentzsch, A, Kontokostas D, Mendes PN, et al. DBpedia–A large-scale, multilingual knowledge base extracted from Wikipedia. Semant Web. 2015;6:167-195. http://dx.doi.org/10.3233/SW-140134. DOI: https://doi.org/10.3233/SW-140134
Bizer C, Heath T, Berners-Lee T. Linked Data—the story so far. Int J Semantic Web Inf Syst. 2009;5(3):1-22. http://dx.doi.org/10.4018/ jswis.2009081901. DOI: https://doi.org/10.4018/jswis.2009081901
Maskalyk J. Modern medicine comes online: how putting Wikipedia articles through a medical journal’s traditional process can put free, reliable information into as many hands as possible. Open Med. 2014;8(4):e116-e119. PMid:25426179.
Jiang G, Solbrig HR, Chute CG. Using semantic web technology to support icd-11 textual definitions authoring. J Biomed Semantics. 2013;4(1):11. http://dx.doi.org/10.1186/2041-1480-4-11. PMid:23601451. DOI: https://doi.org/10.1186/2041-1480-4-11
Jamoulle M. Attempt to classify main descriptors of GP/FM job. Proposal for a metaclinical classification. In: Proceedings of the Wonca Europe Conference; 2007. Paris, France: Wonca Europe; 2007. 502 p.
Jamoulle M. Or25 using ICPC and the core content Classification For General Practice (3CGP) to index Wonca Lisbon abstracts. In: Proceedings of the Wonca Europe Conference; 2014. Lisbon, Portugal: Wonca Europe; 2014.
Jamoulle M. Using the International Classification for Primary Care (ICPC) and the Core Content Classification for General Practice (3CGP) to classify conference abstracts. Rev Port Med Geral Fam. 2013; 29(5):66-67.
Wikipedia. Web ontology language. 2015 May 21 [cited 2015 Jun 17]. Available from: http://en.wikipedia.org/wiki/Web_Ontology_Language.
Cheung K-H, Prud’hommeaux E, Wang Y, Stephens S. Semantic web for health care and life sciences: a review of the state of the art. Brief Bioinform. 2009;10(2):111-113. http://dx.doi.org/10.1093/bib/bbp015. PMid:19304871. DOI: https://doi.org/10.1093/bib/bbp015
Plsek PE, Greenhalgh T. Complexity science: The challenge of complexity in health care. BMJ. 2001;323(7313):625-628. http://dx.doi.org/10.1136/bmj.323.7313.625. PMid:11557716. DOI: https://doi.org/10.1136/bmj.323.7313.625
Schell SF, Luke DA, Schooley MW, Elliott MB, Herbers SH, Mueller NB, et al. Public health program capacity for sustainability: a new framework. Implement Sci. 2013;8(1):15. http://dx.doi.org/10.1186/1748-5908-8-15. PMid:23375082. DOI: https://doi.org/10.1186/1748-5908-8-15
Tao X. Associate a user ’s goal: exhaustivity and specificity information retrieval using ontology. In: Proceedings of the 4th International Conference on Active Media Technology (AMT06); 2006. Brisbane: Queensland University of Technology; 2006. p. 448-450. [cited 2015 Jun 17].
Available from: http://eprints.qut.edu.au/6030/1/6030_1.pdf.
Légaré F, Ratté S, Stacey D, Kryworuchko J, Gravel K, Graham ID, et al. Interventions for improving the adoption of shared decision making by healthcare professionals. Cochrane Database Syst Rev. 2010;(5):CD006732. PMid:20464744. DOI: https://doi.org/10.1002/14651858.CD006732.pub2
Wikipedia. Category: unnecessary health care. [cited 2015 Jun 17]. Available from: http://en.wikipedia.org/wiki/Category:Unnecessary_health_care.
Primary Health Care Classification Consortium (PH3C). Quaternary prevention. 2013 Dec 20 [cited 2015 Jun 17]. Available from: www.ph3c.org/P4.
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