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Child maltreatment and substance abuse are both international public health priorities. Research shows that child maltreatment increases the risk for substance use and problems. Thus, recognition of this relationship may have important implications for substance demand reduction strategies, including efforts to prevent and treat substance use and related problems. Latin America and the Caribbean is a rich and diverse region of the world with a large range of social and cultural influences. To date, relatively little work has addressed the link between child maltreatment and substance use in the region. A working group constituted by the Inter-American Drug Abuse Control Commission (CICAD) and the Centre for Addiction and Mental Health (CAMH) in June, 2010 identified this area as a priority area for a multinational research partnership. This paper summarizes existing information on drug use and child maltreatment in six participating countries, Colombia, El Salvador, Jamaica, Nicaragua, Panama and Uruguay, and considers the implications of child maltreatment prevention for demand reduction strategies to address substance use issues. A CICAD/CAMH-sponsored multinational research partnership has been formed, which will involve research on the link between child maltreatment and substance misuse, expertise exchange and resource sharing.

Problem/Goal: In GL19’s “Indexing grey literature in General Practice: Family Medicine in the Era of Semantic Web,” Jamoulle and colleagues (Jamoulle et al., 2018) propose the use of a relatively new terminology (3CGP) to allow for the indexing and retrieval of (GP/FM) knowledge which otherwise would be lost, or difficult to locate. Though designed to meet Cimino’s (Cimino, 1998) twelve desiderata for the design of a controlled healthcare vocabulary, Jamoulle and colleagues (Jamoulle et al., 2018) acknowledge that a detailed requirement by requirement evaluation of 3CGP was not performed. The goal of this paper is to evaluate the Q-Codes component of the 3CGP terminology, in detail, with each of Cimino’s twelve desiderata. Research Method/Procedure: In our work, we will focus on qualitative analysis, whereby our taxonomy, the Q-Codes, and in particular, its vocabulary satisfies a standard set of desiderata. Qualitative analysis provides a simple and yet effective way to assess the Q-Codes taxonomy’s quality. We will briefly describe each of the desiderata and discuss how our taxonomy satisfies each one of them (or not). Anticipated Results of the Research: The qualitative evaluation is intended as an initial stage, which focuses on the Q-Codes taxonomy’s contents, namely, its vocabulary (e.g. terms and definitions). Our aim with the qualitative evaluation is to investigate whether our proposed taxonomy, and in particular its vocabulary, satisfies a set of desiderata. This will enable us to determine whether the knowledge acquisition and (part of) the conceptualization steps of our ontology development process have been performed correctly. We consider that validating our vocabulary against a set of well-defined desiderata is paramount before evaluating other aspects of the taxonomy (such as the relations). As a set of desiderata, we chose that proposed by Cimino in his seminal study entitled “Desiderata for controlled medical vocabularies in the twenty-first century” (Cimino, 1998). These desiderata ensure that our taxonomy can be successfully deployed and exploited in actual GM/FM applications / activities, such as indexing grey literature. The desiderata define a set of (desired) characteristics that (ideally all) standard medical vocabularies should satisfy. Thus, these desiderata help in alleviating inter-operability issues, with the use of common standards ensuring the efficient integration of our taxonomy with other medical vocabularies and resources (taxonomies, ontologies). From the results of this study, improvements can be made to the Q-Codes component of, and thus, the 3CGP terminology. This, in turn, improves the ability to index the grey literature with the 3CGP terminology, providing greater access to needed information. [ABSTRACT FROM AUTHOR]

Problem/Goal: Sharing the results of research with General Practitioners (GPs) is crucial for the survival of the discipline of General Practice / Family Medicine (GP/FM). The production of abstracts in GP/FM probably exceeds 15,000 per year worldwide. Each abstract often represents two years of work for its authors and is expressed in local languages. Only 45% of them are published in indexed medical journals. Usual indexing systems like MeSH are not multilingual nor adapted to the particular field of GP/FM. Consequently, these abstracts are lacking bibliographic control and more than half of the research presented by GPs at congresses is lost. Considering the absence of appropriate domain-specific terminologies or classification systems, we propose a new multilingual indexing system. The existing International Classification of Primary Care (ICPC) is currently used for clinical purposes and has now been expanded with a taxonomy related to contextual aspects (called Q-Codes) such as education, research, practice organization, ethics or policy in GP/FM, currently not captured. The set is proposed under the name Core Content Classification in General Practice (3CGP). The aim is to facilitate indexing of GP/FM specific scientific work and to improve performance in information storage and retrieval for research purposes in this field. Research Method/Procedure: Using qualitative analysis, a corpus of 1,702 abstracts from six GP/FMrelated European congresses was analyzed to identify main themes discussed by GPs (e.g., continuity, accessibility or medical ethics), handled in a domain-specific taxonomy called Q-Codes and translated in 8 languages. In addition, a methodology for building a lightweight ontology (in OWL-2) was applied to QCodes, adding object and datatype properties to the hierarchical relations, including mapping to the MeSH thesaurus, Babelnet (www.babelnet.org) and Dbpedia. Finally, the Q-Codes in 8 languages have been integrated in a healthcare terminology service (www.hetop.eu/q) with a companion website (http://3cgp.docpatient.net). Results of the Research: The creation and the on-line publication of this multilingual terminological resource (see http://3cgp.docpatient.net), for indexing abstracts and for facilitating Medline searches, could reduce loss of knowledge in the domain. The database is available in 12 human languages and in Web Ontology Language (OWL) for computer use. In addition, through better indexing of the grey literature (online database, congress abstracts, master's and doctoral thesis) of which we show the first results, we hope to enhance the accessibility of research in GP/FM domain and promote the emergence of networks of researchers. Indication of costs related to the project: This project has not been funded. 3CGP is placed under Attribution-Non-Commercial-Share-Alike 4.0 International (CC BY-NC-SA 4.0). ICPC is copyrighted by WONCA. [ABSTRACT FROM AUTHOR]

Competing Interests: Competing interests: RM, JB, MJ, JT and PG have all been involved in organising the Preventing Overdiagnosis conference/s. TK is leading a research network on the prevention of overdiagnosis in primary care (PRO PRICARE) funded by the German Ministry of Research and Education.