Developing model-based public health policy through knowledge translation: the need for a 'Communities of Practice'.
Identifieur interne : 000299 ( Main/Exploration ); précédent : 000298; suivant : 000300Developing model-based public health policy through knowledge translation: the need for a 'Communities of Practice'.
Auteurs : S M Driedger [Canada] ; E J Cooper [Canada] ; S M Moghadas [Canada]Source :
- Public health [ 1476-5616 ] ; 2014.
Descripteurs français
- KwdFr :
- Besoins et demandes de services de santé, Canada (épidémiologie), Grippe humaine (), Humains, Modèles théoriques, Pandémies (), Politique de santé, Pratique en santé publique, Processus politique, Recherche médicale translationnelle, Recherche qualitative, Santé publique, Sous-type H1N1 du virus de la grippe A.
- MESH :
- épidémiologie : Canada.
- Besoins et demandes de services de santé, Grippe humaine, Humains, Modèles théoriques, Pandémies, Politique de santé, Pratique en santé publique, Processus politique, Recherche médicale translationnelle, Recherche qualitative, Santé publique, Sous-type H1N1 du virus de la grippe A.
English descriptors
- KwdEn :
- Canada (epidemiology), Health Policy, Health Services Needs and Demand, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human (prevention & control), Models, Theoretical, Pandemics (prevention & control), Policy Making, Public Health, Public Health Practice, Qualitative Research, Translational Medical Research.
- MESH :
- epidemiology : Canada.
- prevention & control : Influenza, Human, Pandemics.
- Health Policy, Health Services Needs and Demand, Humans, Influenza A Virus, H1N1 Subtype, Models, Theoretical, Policy Making, Public Health, Public Health Practice, Qualitative Research, Translational Medical Research.
Abstract
OBJECTIVES
The 2009 influenza A (H1N1) pandemic prompted public health agencies worldwide to respond in a context of substantial uncertainty. While many lessons around successful management strategies were learned during the influenza A (H1N1) pandemic, the usefulness and impact of mathematical models to optimize policy decisions in protecting public health were poorly realized. The authors explored the experiences of modellers and public health practitioners in trying to develop model-based public health policies in the management of the 2009 influenza A (H1N1) pandemic in Canada.
STUDY DESIGN
A qualitative case study design based on interviews and other textual data was used.
METHODS
Individual interviews were conducted with mathematical modellers and public health professionals from academia and government health departments during the second wave of the 2009 influenza A (H1N1) pandemic (both prior to and following the vaccine roll-out), using a convergent interviewing process. Interviews were supplemented with discussions held during three separate workshops involving representatives from these groups on the role of modelling in pandemic preparedness and responses. NVivo9™ was used to analyse interview data and associated notes.
RESULTS
Mathematical models were underutilized during the response phase of the 2009 influenza A (H1N1) pandemic, largely because many public health professionals were unaware of modelling infrastructure in Canada. Challenges were reflected in three ways: 1) the relevance of models to public health priorities; 2) the need for clear communication and plain language around modelling and its contributions and limitations; and 3) the need for increased trust and collaboration to develop strong working relationships.
CONCLUSIONS
Developing a 'Communities of Practice' between public health professionals and mathematical modellers during inter-pandemic periods based on common targeted goals, using plain language, and where relationships between individuals and organizations are developed early, could be an effective strategy to assist the process of public health policy decision-making, particularly when characterized by high levels of uncertainty.
DOI: 10.1016/j.puhe.2013.10.009
PubMed: 24461909
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Electronic address: elizabeth_cooper@umanitoba.ca.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Community Health Sciences, University of Manitoba, S113-750 Bannatyne Ave, Winnipeg, Manitoba R3E 0W3</wicri:regionArea><orgName type="university">Université du Manitoba</orgName><placeName><settlement type="city">Winnipeg</settlement><region type="state">Manitoba</region></placeName></affiliation></author><author><name sortKey="Moghadas, S M" sort="Moghadas, S M" uniqKey="Moghadas S" first="S M" last="Moghadas">S M Moghadas</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Disease Modelling, York Institute for Health Research, York University, 4700 Keele Street, Toronto, Ontario M3J 1P3, Canada. 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While many lessons around successful management strategies were learned during the influenza A (H1N1) pandemic, the usefulness and impact of mathematical models to optimize policy decisions in protecting public health were poorly realized. The authors explored the experiences of modellers and public health practitioners in trying to develop model-based public health policies in the management of the 2009 influenza A (H1N1) pandemic in Canada.</p></div><div type="abstract" xml:lang="en"><p><b>STUDY DESIGN</b></p><p>A qualitative case study design based on interviews and other textual data was used.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Individual interviews were conducted with mathematical modellers and public health professionals from academia and government health departments during the second wave of the 2009 influenza A (H1N1) pandemic (both prior to and following the vaccine roll-out), using a convergent interviewing process. Interviews were supplemented with discussions held during three separate workshops involving representatives from these groups on the role of modelling in pandemic preparedness and responses. NVivo9™ was used to analyse interview data and associated notes.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Mathematical models were underutilized during the response phase of the 2009 influenza A (H1N1) pandemic, largely because many public health professionals were unaware of modelling infrastructure in Canada. Challenges were reflected in three ways: 1) the relevance of models to public health priorities; 2) the need for clear communication and plain language around modelling and its contributions and limitations; and 3) the need for increased trust and collaboration to develop strong working relationships.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Developing a 'Communities of Practice' between public health professionals and mathematical modellers during inter-pandemic periods based on common targeted goals, using plain language, and where relationships between individuals and organizations are developed early, could be an effective strategy to assist the process of public health policy decision-making, particularly when characterized by high levels of uncertainty.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">24461909</PMID><DateCompleted><Year>2014</Year><Month>09</Month><Day>10</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1476-5616</ISSN><JournalIssue CitedMedium="Internet"><Volume>128</Volume><Issue>6</Issue><PubDate><Year>2014</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Public health</Title><ISOAbbreviation>Public Health</ISOAbbreviation></Journal><ArticleTitle>Developing model-based public health policy through knowledge translation: the need for a 'Communities of Practice'.</ArticleTitle><Pagination><MedlinePgn>561-7</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.puhe.2013.10.009</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0033-3506(13)00346-6</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">The 2009 influenza A (H1N1) pandemic prompted public health agencies worldwide to respond in a context of substantial uncertainty. While many lessons around successful management strategies were learned during the influenza A (H1N1) pandemic, the usefulness and impact of mathematical models to optimize policy decisions in protecting public health were poorly realized. The authors explored the experiences of modellers and public health practitioners in trying to develop model-based public health policies in the management of the 2009 influenza A (H1N1) pandemic in Canada.</AbstractText><AbstractText Label="STUDY DESIGN" NlmCategory="METHODS">A qualitative case study design based on interviews and other textual data was used.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Individual interviews were conducted with mathematical modellers and public health professionals from academia and government health departments during the second wave of the 2009 influenza A (H1N1) pandemic (both prior to and following the vaccine roll-out), using a convergent interviewing process. Interviews were supplemented with discussions held during three separate workshops involving representatives from these groups on the role of modelling in pandemic preparedness and responses. NVivo9™ was used to analyse interview data and associated notes.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Mathematical models were underutilized during the response phase of the 2009 influenza A (H1N1) pandemic, largely because many public health professionals were unaware of modelling infrastructure in Canada. Challenges were reflected in three ways: 1) the relevance of models to public health priorities; 2) the need for clear communication and plain language around modelling and its contributions and limitations; and 3) the need for increased trust and collaboration to develop strong working relationships.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Developing a 'Communities of Practice' between public health professionals and mathematical modellers during inter-pandemic periods based on common targeted goals, using plain language, and where relationships between individuals and organizations are developed early, could be an effective strategy to assist the process of public health policy decision-making, particularly when characterized by high levels of uncertainty.</AbstractText><CopyrightInformation>Copyright © 2013 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Driedger</LastName><ForeName>S M</ForeName><Initials>SM</Initials><AffiliationInfo><Affiliation>Department of Community Health Sciences, University of Manitoba, S113-750 Bannatyne Ave, Winnipeg, Manitoba R3E 0W3, Canada. Electronic address: michelle.driedger@med.umanitoba.ca.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cooper</LastName><ForeName>E J</ForeName><Initials>EJ</Initials><AffiliationInfo><Affiliation>Department of Community Health Sciences, University of Manitoba, S113-750 Bannatyne Ave, Winnipeg, Manitoba R3E 0W3, Canada. 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