An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada
Identifieur interne : 000153 ( Pmc/Curation ); précédent : 000152; suivant : 000154An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada
Auteurs : Nii Antiaye Addy ; Arash Shaban-Nejad ; David L. Buckeridge ; Laurette DubéSource :
- International Journal of Environmental Research and Public Health [ 1661-7827 ] ; 2015.
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.
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DOI: 10.3390/ijerph120201314
PubMed: 25625409
PubMed Central: 4344668
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Buckeridge</name><affiliation><nlm:aff id="af3-ijerph-12-01314">Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec H3A 1A3, Canada; E-Mail:<email>david.buckeridge@mcgill.ca</email></nlm:aff></affiliation></author><author><name sortKey="Dube, Laurette" sort="Dube, Laurette" uniqKey="Dube L" first="Laurette" last="Dubé">Laurette Dubé</name><affiliation><nlm:aff id="af1-ijerph-12-01314">McGill Center for the Convergence in Health and Economics (MCCHE), Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada; E-Mail:<email>laurette.dube@mcgill.ca</email></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25625409</idno><idno type="pmc">4344668</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344668</idno><idno type="RBID">PMC:4344668</idno><idno type="doi">10.3390/ijerph120201314</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000153</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000153</idno><idno type="wicri:Area/Pmc/Curation">000153</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000153</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada</title><author><name sortKey="Addy, Nii Antiaye" sort="Addy, Nii Antiaye" uniqKey="Addy N" first="Nii Antiaye" last="Addy">Nii Antiaye Addy</name><affiliation><nlm:aff id="af1-ijerph-12-01314">McGill Center for the Convergence in Health and Economics (MCCHE), Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada; E-Mail:<email>laurette.dube@mcgill.ca</email></nlm:aff></affiliation></author><author><name sortKey="Shaban Nejad, Arash" sort="Shaban Nejad, Arash" uniqKey="Shaban Nejad A" first="Arash" last="Shaban-Nejad">Arash Shaban-Nejad</name><affiliation><nlm:aff id="af2-ijerph-12-01314">School of Public Health, University of California, Berkeley, CA 94720, USA; E-Mail:<email>arash.shaban-nejad@mcgill.ca</email></nlm:aff></affiliation><affiliation><nlm:aff id="af3-ijerph-12-01314">Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec H3A 1A3, Canada; E-Mail:<email>david.buckeridge@mcgill.ca</email></nlm:aff></affiliation></author><author><name sortKey="Buckeridge, David L" sort="Buckeridge, David L" uniqKey="Buckeridge D" first="David L." last="Buckeridge">David L. Buckeridge</name><affiliation><nlm:aff id="af3-ijerph-12-01314">Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec H3A 1A3, Canada; E-Mail:<email>david.buckeridge@mcgill.ca</email></nlm:aff></affiliation></author><author><name sortKey="Dube, Laurette" sort="Dube, Laurette" uniqKey="Dube L" first="Laurette" last="Dubé">Laurette Dubé</name><affiliation><nlm:aff id="af1-ijerph-12-01314">McGill Center for the Convergence in Health and Economics (MCCHE), Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada; E-Mail:<email>laurette.dube@mcgill.ca</email></nlm:aff></affiliation></author></analytic><series><title level="j">International Journal of Environmental Research and Public Health</title><idno type="ISSN">1661-7827</idno><idno type="eISSN">1660-4601</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Dube, L" uniqKey="Dube L">L. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Int J Environ Res Public Health</journal-id><journal-id journal-id-type="iso-abbrev">Int J Environ Res Public Health</journal-id><journal-id journal-id-type="publisher-id">ijerph</journal-id><journal-title-group><journal-title>International Journal of Environmental Research and Public Health</journal-title></journal-title-group><issn pub-type="ppub">1661-7827</issn><issn pub-type="epub">1660-4601</issn><publisher><publisher-name>MDPI</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25625409</article-id><article-id pub-id-type="pmc">4344668</article-id><article-id pub-id-type="doi">10.3390/ijerph120201314</article-id><article-id pub-id-type="publisher-id">ijerph-12-01314</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Addy</surname><given-names>Nii Antiaye</given-names></name><xref ref-type="aff" rid="af1-ijerph-12-01314">1</xref><xref rid="c1-ijerph-12-01314" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Shaban-Nejad</surname><given-names>Arash</given-names></name><xref ref-type="aff" rid="af2-ijerph-12-01314">2</xref><xref ref-type="aff" rid="af3-ijerph-12-01314">3</xref></contrib><contrib contrib-type="author"><name><surname>Buckeridge</surname><given-names>David L.</given-names></name><xref ref-type="aff" rid="af3-ijerph-12-01314">3</xref></contrib><contrib contrib-type="author"><name><surname>Dubé</surname><given-names>Laurette</given-names></name><xref ref-type="aff" rid="af1-ijerph-12-01314">1</xref></contrib></contrib-group><contrib-group><contrib contrib-type="editor"><name><surname>Hills</surname><given-names>Andrew P.</given-names></name><role>Academic Editor</role></contrib></contrib-group><aff id="af1-ijerph-12-01314"><label>1</label>McGill Center for the Convergence in Health and Economics (MCCHE), Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada; E-Mail:<email>laurette.dube@mcgill.ca</email></aff><aff id="af2-ijerph-12-01314"><label>2</label>School of Public Health, University of California, Berkeley, CA 94720, USA; E-Mail:<email>arash.shaban-nejad@mcgill.ca</email></aff><aff id="af3-ijerph-12-01314"><label>3</label>Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec H3A 1A3, Canada; E-Mail:<email>david.buckeridge@mcgill.ca</email></aff><author-notes><corresp id="c1-ijerph-12-01314"><label>*</label>Author to whom correspondence should be addressed; E-Mail: <email>nii.addy@mcgill.ca</email>; Tel.: +1-514-398-3299; Fax: +1-514-398-8963.</corresp></author-notes><pub-date pub-type="epub"><day>23</day><month>1</month><year>2015</year></pub-date><pub-date pub-type="ppub"><month>2</month><year>2015</year></pub-date><volume>12</volume><issue>2</issue><fpage>1314</fpage><lpage>1333</lpage><history><date date-type="received"><day>01</day><month>11</month><year>2014</year></date><date date-type="accepted"><day>14</day><month>1</month><year>2015</year></date></history><permissions><copyright-statement>© 2015 by the authors; licensee MDPI, Basel, Switzerland.</copyright-statement><copyright-year>2015</copyright-year><license><license-p><pmc-comment>CREATIVE COMMONS</pmc-comment>This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>).</license-p></license></permissions><abstract><p>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.</p></abstract><kwd-group><kwd>childhood obesity</kwd><kwd>multi-stakeholder partnerships</kwd><kwd>decision-making</kwd><kwd>knowledge-based infrastructure</kwd><kwd>process mapping</kwd><kwd>conceptual modeling</kwd><kwd>ontology development</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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