The words of prevention, part II: ten terms in the realm of quaternary prevention

Jamoulle, Marc; Gavilán, Enrique Aguilar; Cardoso, Raquel; Mariño, María Ana; Pizzanelli, Miguel; Grosjean, Julien; Darmoni, Stéfan Jacques

doi:10.5712/rbmfc10(35)1063

Cited by 3 publications

(2 citation statements)

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“…This study's results allow us to understand that, regarding quaternary prevention, the statement of lack of knowledge is corroborated until 2017, although prevention is evident in final assignments. The possibility of great belief in eBM and the added pressure of people may justify these results [18][19][20]. nevertheless, there is the need to imbed the Research Agenda for General Practice/Family Medicine and Primary Health Care in Europe [21].…”

Section: Discussionmentioning

confidence: 99%

Use of the Core Content Classification in General Practice (3GCP) for qualitative analysis of context and practice. Ten-year study of undergraduate students’ final works in the Integrated Master's Degree in Medicine at the University of Coimbra.

Tavares¹,

Santiago²,

Jamoulle³

et al. 2018

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Background. General Practice/Family Medicine includes approaches to the biological, technological, behavioural, sociological and anthropological domains. Objectives. To document the domains addressed in the final assignments of the Integrated Master's Degree in Medicine at the Faculty of Medicine, University of Coimbra, in the area of GP/FM. Material and methods. Observational study of the titles of final assignments, between 2008 and 2017, granted by the Faculty of Medicine of the University of Coimbra. A domain analysis using as codes the International Classification in Primary Care-2 and the Q-Codes, a context classification in Primary Care, year of elaboration and gender of author was carried out for each title of final assignment. A descriptive and inferential analysis was performed through parametric and nonparametric tests. Results. 169 papers were analysed, 23.1% written by male students, with a positive overall growth dynamics (Δ = +7) between 2008 and 2017. Q-Codes were registered 276 times, while the ICPC-2 codes were used 133 times. Under the Q-Codes, "doctor's issues" is the most frequently addressed (n = 112; 67.2%), and under the International Classification in Primary Care-2 classifications, the chapter "Psychological" was predominant (n = 35; 21%). Under the Q-Codes, subcategories "primary care setting" (n = 26; 15.6%), "health issue management" (n = 23; 13.8%) and "unable to code, unclear" (22; 13.2%) were dominant. Within the International Classification in Primary Care-2, the subcategories "diabetes noninsulin dependent" (n = 22; 13.2%), "depressive disorder" (8, 4.8%) and "hypertension uncomplicated" (8; 4.8%) were predominantly focused on. Conclusions. The 3CGP may become a professional tool, allowing for more precise identification of final works, for a better communication method in medical activity and for avoiding the loss of previously developed works.

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Section: Discussionmentioning

confidence: 99%

Use of the Core Content Classification in General Practice (3GCP) for qualitative analysis of context and practice. Ten-year study of undergraduate students’ final works in the Integrated Master's Degree in Medicine at the University of Coimbra.

Tavares¹,

Santiago²,

Jamoulle³

et al. 2018

fmpcr

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“…When concepts, in general, send semantic relations more than they receive in an ontology, the width of ontology is more than its length. The length of concepts which can be measured by counting the number of concepts as a criterion [40] is a parameter in evaluation of specificity and exhaustivity in ontologies [41]. Exhaustivity or breadth [42] provides the potential for high recall and may loss for precision [37].…”

Section: Analysis On the Range Of Semantic Relations Input And Outputmentioning

confidence: 99%

Structural Analysis of Semantic Relations Regarding Integration and Association of Semantic Network in Vocbench as an Agricultural Ontology

Amirhosseini

Salim

2020

Int. J. Eng. Tech. Mgmt. Res.

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The purpose of this article is to analyze semantic relations based on graph-independent structural analysis in VocBench. The mix-method of deductive and inductive approach is adapted in operating the research methodology, especially for data collection. The research data are structural domains of semantic relations in ontologies. The data resource is the authoritative agricultural ontology, VocBench, that has been originated by Food and Agricultural organization (FAO), United Nation. VocBench includes around 40000 concepts. The sample size is around 1500 concepts. Sampling technique used is the stratified random sampling. The data analysis results are employed in the SPSS and Excel software using descriptive and proportional analysis. The research results reveal that the taxonomic relations cover a wide area in VocBench. Moreover, the overloading was not seen in the usage of non-taxonomic relations. The high frequency in the usage of the semantic relations’ output might be implied the possibility of the width (i.e., exhaustivity) in semantic network in VocBench.

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The Relation between the Combination Levels in the Structure of Concepts Entities and the Amount of Semantic Relations in Improving Information Retrieval Performance in UN, FAO’s Agricultural Ontology

Amirhosseini

2021

jipm

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The words of prevention, part II: ten terms in the realm of quaternary prevention

Cited by 3 publications

References 12 publications

Use of the Core Content Classification in General Practice (3GCP) for qualitative analysis of context and practice. Ten-year study of undergraduate students’ final works in the Integrated Master's Degree in Medicine at the University of Coimbra.

Use of the Core Content Classification in General Practice (3GCP) for qualitative analysis of context and practice. Ten-year study of undergraduate students’ final works in the Integrated Master's Degree in Medicine at the University of Coimbra.

Structural Analysis of Semantic Relations Regarding Integration and Association of Semantic Network in Vocbench as an Agricultural Ontology

The Relation between the Combination Levels in the Structure of Concepts Entities and the Amount of Semantic Relations in Improving Information Retrieval Performance in UN, FAO’s Agricultural Ontology

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