Flavie Goutard and colleagues call for concerted multisectoral measures through stronger policies to combat antimicrobial resistance
The international community and governmental organizations are actively calling for the implementation of One Health (OH) surveillance systems to target health hazards that involve humans, animals, and their environment. In our view, the main characteristic of a OH surveillance system is the collaboration across institutions and disciplines operating within the different sectors to plan, coordinate, and implement the surveillance process. However, the multisectoral organizational models and possible collaborative modalities implemented throughout the surveillance process are multi-fold and depend on the objective and context of the surveillance. The purpose of this study is to define a matrix to evaluate the quality and appropriateness of multisectoral collaboration through an in-depth analysis of its organization, implementation, and functions. We developed a first list of evaluation attributes based on (i) the characteristics of the organization, implementation, and functionality of multisectoral surveillance systems; and (ii) the existing attributes for the evaluation of health surveillance systems and OH initiatives. These attributes were submitted to two rounds of expert-opinion elicitation for review and validation. The final list of attributes consisted of 23 organizational attributes and 9 functional attributes, to which 3 organizational indexes were added measuring the overall organization of collaboration. We then defined 75 criteria to evaluate the level of satisfaction for the attributes and indexes. The criteria were scored following a four-tiered scoring grid. Graphical representations allowed for an easy overview of the evaluation results for both attributes and indexes. This evaluation matrix is the first to allow an in-depth analysis of collaboration in a multisectoral surveillance system and is the preliminary step toward the creation of a fully standalone tool for the evaluation of collaboration. After its practical application and adaptability to different contexts are field-tested, this tool could be very useful in identifying the strengths and weaknesses of collaboration occurring in a multisectoral surveillance system.
BackgroundThe international community strongly advocates the implementation of multi-sectoral surveillance policies for an effective approach to antibiotic resistance, in line with the One Health concept. To comply with these international recommendations, the Vietnamese government has issued an inter-ministerial surveillance strategy for antibiotic resistance, including an integrated surveillance system. However, one may question the ability and willingness of surveillance stakeholders to implement the collaborations required. To assess the feasibility of operationalising this strategy within the national context, we explored the role of key stakeholders in the strategy, as well as their abilities to comply with it.MethodsWe conducted a qualitative approach based on an iterative stakeholder mapping and analysis, in three distinct steps: (1) a description of the structure of the national surveillance strategy (literature review, key informant interviews); (2) an analysis of the key stakeholders’ positions regarding the strategy (semi-structured interviews); (3) the identification of factors influencing the operationalisation of the collaborative surveillance strategy (comparison of data collected at the first and second steps).ResultsThe mapping of the surveillance system, as well as the characterisation of key stakeholders according to organisational and functional attributes, underlined that inter-sectoral surveillance initiatives do exist, but that the organisation of the national surveillance system remains highly silo-oriented.Based on stakeholder perspectives, we identified seven factors that may influence the implementation of the One Health strategy at national level: governance and operational frameworks, divergence of institutional cultures, level of knowledge, technical capacities, allocation of resources, conflicting commercial interests and influence of international partners.ConclusionsThe study suggests that the operationalisation of the collaborative surveillance strategy requires the full adhesion of stakeholders and the provision of appropriate resources. Based on these findings, we have proposed a guidance framework together with recommendations to move towards a more suitable governance and operational model for One Health surveillance of antibiotic resistance in Vietnam.To lever and promote successful inter-sectoral collaboration, a participatory “learning by doing” process could be applied to guide, frame and mentor stakeholders through the identification of appropriate levels of collaboration, depending on the expected positive impacts on the value of surveillance.
Regular evaluation of integrated surveillance for antimicrobial use (AMU) and resistance (AMR) in animals, humans, and the environment is needed to ensure system effectiveness, but the question is how. In this study, six different evaluation tools were assessed after being applied to AMU and AMR surveillance in eight countries: (1) ATLASS: the Assessment Tool for Laboratories and AMR Surveillance Systems developed by the Food and Agriculture Organization (FAO) of the United Nations, (2) ECoSur: Evaluation of Collaboration for Surveillance tool, (3) ISSEP: Integrated Surveillance System Evaluation Project, (4) NEOH: developed by the EU COST Action “Network for Evaluation of One Health,” (5) PMP-AMR: The Progressive Management Pathway tool on AMR developed by the FAO, and (6) SURVTOOLS: developed in the FP7-EU project “RISKSUR.” Each tool was scored using (i) 11 pre-defined functional aspects (e.g., workability concerning the need for data, time, and people); (ii) a strengths, weaknesses, opportunities, and threats (SWOT)-like approach of user experiences (e.g., things that I liked or that the tool covered well); and (iii) eight predefined content themes related to scope (e.g., development purpose and collaboration). PMP-AMR, ATLASS, ECoSur, and NEOH are evaluation tools that provide a scoring system to obtain semi-quantitative results, whereas ISSEP and SURVTOOLS will result in a plan for how to conduct evaluation(s). ISSEP, ECoSur, NEOH, and SURVTOOLS allow for in-depth analyses and therefore require more complex data, information, and specific training of evaluator(s). PMP-AMR, ATLASS, and ISSEP were developed specifically for AMR-related activities—only ISSEP included production of a direct measure for “integration” and “impact on decision making.” NEOH and ISSEP were perceived as the best tools for evaluation of One Health (OH) aspects, and ECoSur as best for evaluation of the quality of collaboration. PMP-AMR and ATLASS seemed to be the most user-friendly tools, particularly designed for risk managers. ATLASS was the only tool focusing specifically on laboratory activities. Our experience is that adequate resources are needed to perform evaluation(s). In most cases, evaluation would require involvement of several assessors and/or stakeholders, taking from weeks to months to complete. This study can help direct future evaluators of integrated AMU and AMR surveillance toward the most adequate tool for their specific evaluation purpose.
Zoonoses are an issue of growing interest in South-East Asia, where environmental factors and socio-economic context favor the endemization of well-known diseases and the emergence of new pathogens at the human-wildlife interface. However, the health status of the region with respect to many zoonotic diseases remains poorly defined, despite the high overall burden of zoonoses on the countries of the area, and the global risk of new biological threats in the region. The first objective of this paper was to provide an update of data on the zoonoses commonly described by the scientific community and reported by governmental institutions and international organizations in continental South-East Asia. The analysis of the available data led to the identification of some trends in the evolution of the diseases, as well as some gaps in knowledge and in the current surveillance and control networks. In light of these findings, we discuss measures for effectively addressing zoonotic disease issues in South-East Asia, such as the allocation of funds for research and for surveillance and control programs, and a multi-sectoral and multi-disciplinary approach at various levels. (Résumé d'auteur
Saimiri (Cebidae) groups a complex of species and subspecies, which present a large morphological plasticity. Genetic analysis is complicated by the absence of consensus on classification criteria and the paucity of molecular tools available for the genus. As the squirrel monkey is widely used in biomedical research, breeding centers have been established, but the genetic make up and diversity of many of the existing colonies is unknown precluding a rationale breeding policy. To develop a genetic typing strategy for the Saimiri breeding colony of Pasteur Institute of French Guiana, we have used Cytochrome b, a mitochondrial marker, and nuclear microsatellites. Cytochrome b sequences from wild-caught Saimiri boliviensis, Saimiri sciureus sciureus and S. s. collinsi reference specimens and captive animals identified 11 haplotypes, grouped into three distinct clades. An estimate of genetic variability within each captive morphotype, and of the extent of molecular divergence between the Bolivian, Guyanese and Brazilian breeds was obtained from the analysis of three nuclear microsatellites. Taxon-specific microsatellites enabled typing of F0-F3 animals, but did not differentiate Brazilian from Guyanese animals. Three locus microsatellite analysis of a representative sample from each generation showed no trend for loss of heterozygosity, and identified hybrid animals between Bolivian and the two others sub-species. These data provide novel evidence for taxonomic classification and a rationale strategy to further type the whole colony.
Many One Health surveillance systems have proven difficult to enforce and sustain, mainly because of the difficulty of implementing and upholding collaborative efforts for surveillance activities across stakeholders with different values, cultures and interests. We hypothesize that only the early engagement of stakeholders in the development of a One Health surveillance system can create an environment conducive to the emergence of collaborative solutions that are acceptable, accepted and therefore implemented in sustainable manner. To this end, we have designed a socio-technical framework to help stakeholders develop a common vision of their desired surveillance system and to forge the innovation pathway toward it. We implemented the framework in two case studies: the surveillance of antimicrobial resistance in Vietnam and that of Salmonella in France. The socio-technical framework is a participatory and iterative process that consists of four distinct steps implemented during a workshop series: (i) definition of the problem to be addressed, (ii) co-construction of a common representation of the current system, (iii) co-construction of the desired surveillance system, (iv) identification of changes and actions required to progress from the current situation to the desired situation. In both case studies, the process allowed surveillance stakeholders with different professional cultures and expectations regarding One Health surveillance to gain mutual understanding and to reconcile their different perspectives to design the pathway toward their common vision of a desired surveillance system. While the proposed framework is structured around four essential steps, its application can be tailored to the context. Workshop facilitation and representativeness of participants are key for the success of the process. While our approach lays the foundation for the further implementation of the desired One Health surveillance system, it provides no guarantee that the proposed actions will actually be implemented and bring about the required changes. The engagement of stakeholders in a participatory process must be sustained in order to ensure the implementation of co-constructed solutions and evaluate their effectiveness and impacts.
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