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An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada

Author

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  • Nii Antiaye Addy

    (McGill Center for the Convergence in Health and Economics (MCCHE), Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

  • Arash Shaban-Nejad

    (School of Public Health, University of California, Berkeley, CA 94720, USA
    Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec H3A 1A3, Canada)

  • David L. Buckeridge

    (Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec H3A 1A3, Canada)

  • Laurette Dubé

    (McGill Center for the Convergence in Health and Economics (MCCHE), Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

Abstract

Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a “portrait”, which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity.

Suggested Citation

  • Nii Antiaye Addy & Arash Shaban-Nejad & David L. Buckeridge & Laurette Dubé, 2015. "An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada," IJERPH, MDPI, vol. 12(2), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:2:p:1314-1333:d:45064
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    References listed on IDEAS

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    1. Pettigrew, Andrew M., 1997. "What is a processual analysis?," Scandinavian Journal of Management, Elsevier, vol. 13(4), pages 337-348, December.
    2. Reinhard Steurer, 2006. "Mapping stakeholder theory anew: from the ‘stakeholder theory of the firm’ to three perspectives on business–society relations," Business Strategy and the Environment, Wiley Blackwell, vol. 15(1), pages 55-69, January.
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    2. Cristina Soguero-Ruiz & Inmaculada Mora-Jiménez & Javier Ramos-López & Teresa Quintanilla Fernández & Antonio García-García & Daniel Díez-Mazuela & Arcadi García-Alberola & José Luis Rojo-Álvarez, 2018. "An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring," IJERPH, MDPI, vol. 15(3), pages 1-16, March.

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