Assessing the congruence between perceived connectivity and network centrality measures specific to pandemic influenza preparedness in Alberta.
Identifieur interne : 000695 ( Main/Exploration ); précédent : 000694; suivant : 000696Assessing the congruence between perceived connectivity and network centrality measures specific to pandemic influenza preparedness in Alberta.
Auteurs : Justin N. Hall [Canada] ; Spencer Moore ; Alan ShiellSource :
- BMC public health [ 1471-2458 ] ; 2010.
Descripteurs français
- KwdFr :
- Administration de la santé publique (méthodes), Alberta (MeSH), Analyse de variance (MeSH), Analyse des systèmes (MeSH), Enquêtes et questionnaires (MeSH), Grippe humaine (prévention et contrôle), Grippe humaine (épidémiologie), Humains (MeSH), Main-d'oeuvre en santé (MeSH), Pandémies (MeSH), Personnel administratif (statistiques et données numériques), Planification en santé (MeSH), Relations interinstitutionnelles (MeSH).
- MESH :
- méthodes : Administration de la santé publique.
- prévention et contrôle : Grippe humaine.
- statistiques et données numériques : Personnel administratif.
- épidémiologie : Grippe humaine.
- Alberta, Analyse de variance, Analyse des systèmes, Enquêtes et questionnaires, Humains, Main-d'oeuvre en santé, Pandémies, Planification en santé, Relations interinstitutionnelles.
English descriptors
- KwdEn :
- Administrative Personnel (statistics & numerical data), Alberta (MeSH), Analysis of Variance (MeSH), Health Planning (MeSH), Health Workforce (MeSH), Humans (MeSH), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Interinstitutional Relations (MeSH), Pandemics (MeSH), Public Health Administration (methods), Surveys and Questionnaires (MeSH), Systems Analysis (MeSH).
- MESH :
- epidemiology : Influenza, Human.
- methods : Public Health Administration.
- prevention & control : Influenza, Human.
- statistics & numerical data : Administrative Personnel.
- Alberta, Analysis of Variance, Health Planning, Health Workforce, Humans, Interinstitutional Relations, Pandemics, Surveys and Questionnaires, Systems Analysis.
Abstract
BACKGROUND
Recent research has suggested that perceived organizational connectivity may serve as an important measure of public health preparedness. Presumably, organizations with higher perceived connectivity also have a greater number of actual organizational ties. Using network analysis, we evaluate this presumption by assessing the correlation between perceived organizational connectivity and reported inter-organizational connections.
METHODS
During late 2007-early 2008, representatives from organizations involved in the delivery of public health systems in Alberta were asked to complete an online questionnaire on public health preparedness. Organizational jurisdictional information was collected. Items from Dorn and colleagues connectivity scale (2007) were used to measure perceived organizational connectivity. Inter-organizational network data on formal connections in the area of pandemic influenza preparedness were collected using a roster approach. These data were imported into UCINET to calculate in- and out-degree centrality scores for each organization. One-way ANOVA tests assessed if perceived connectivity and in- and out-degree centrality varied among jurisdictions. Pearson correlation coefficients were used to assess the correlation of perceived connectivity and in- and out-degree centrality.
RESULTS
Significant mean differences among jurisdictions were observed for in-degree (F(3,116) = 26.60, p < 0.001) and between provincial and lower jurisdictions for out-degree centrality (F(3,116) = 5.24, p < 0.01). Higher jurisdictions had higher average centrality. Perceived organizational connectivity was correlated with out-degree (r(123) = 0.22, p < 0.05) but not in-degree centrality (r(123) = -0.07, p > 0.05).
CONCLUSIONS
The results suggest in terms of pandemic preparedness that perceived connectivity may serve as a partial proxy measure of formal out-degree network connectivity.
DOI: 10.1186/1471-2458-10-124
PubMed: 20219116
PubMed Central: PMC2841105
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Hall</name><affiliation wicri:level="1"><nlm:affiliation>School of Kinesiology & Health Studies, Queen's University, Kingston, Canada. justin.hall@queensu.ca</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>School of Kinesiology & Health Studies, Queen's University, Kingston</wicri:regionArea><wicri:noRegion>Kingston</wicri:noRegion></affiliation></author><author><name sortKey="Moore, Spencer" sort="Moore, Spencer" uniqKey="Moore S" first="Spencer" last="Moore">Spencer Moore</name></author><author><name sortKey="Shiell, Alan" sort="Shiell, Alan" uniqKey="Shiell A" first="Alan" last="Shiell">Alan Shiell</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20219116</idno><idno type="pmid">20219116</idno><idno type="doi">10.1186/1471-2458-10-124</idno><idno type="pmc">PMC2841105</idno><idno type="wicri:Area/Main/Corpus">000677</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000677</idno><idno type="wicri:Area/Main/Curation">000677</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000677</idno><idno type="wicri:Area/Main/Exploration">000677</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Assessing the congruence between perceived connectivity and network centrality measures specific to pandemic influenza preparedness in Alberta.</title><author><name sortKey="Hall, Justin N" sort="Hall, Justin N" uniqKey="Hall J" first="Justin N" last="Hall">Justin N. Hall</name><affiliation wicri:level="1"><nlm:affiliation>School of Kinesiology & Health Studies, Queen's University, Kingston, Canada. justin.hall@queensu.ca</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>School of Kinesiology & Health Studies, Queen's University, Kingston</wicri:regionArea><wicri:noRegion>Kingston</wicri:noRegion></affiliation></author><author><name sortKey="Moore, Spencer" sort="Moore, Spencer" uniqKey="Moore S" first="Spencer" last="Moore">Spencer Moore</name></author><author><name sortKey="Shiell, Alan" sort="Shiell, Alan" uniqKey="Shiell A" first="Alan" last="Shiell">Alan Shiell</name></author></analytic><series><title level="j">BMC public health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Administrative Personnel (statistics & numerical data)</term><term>Alberta (MeSH)</term><term>Analysis of Variance (MeSH)</term><term>Health Planning (MeSH)</term><term>Health Workforce (MeSH)</term><term>Humans (MeSH)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (prevention & control)</term><term>Interinstitutional Relations (MeSH)</term><term>Pandemics (MeSH)</term><term>Public Health Administration (methods)</term><term>Surveys and Questionnaires (MeSH)</term><term>Systems Analysis (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Administration de la santé publique (méthodes)</term><term>Alberta (MeSH)</term><term>Analyse de variance (MeSH)</term><term>Analyse des systèmes (MeSH)</term><term>Enquêtes et questionnaires (MeSH)</term><term>Grippe humaine (prévention et contrôle)</term><term>Grippe humaine (épidémiologie)</term><term>Humains (MeSH)</term><term>Main-d'oeuvre en santé (MeSH)</term><term>Pandémies (MeSH)</term><term>Personnel administratif (statistiques et données numériques)</term><term>Planification en santé (MeSH)</term><term>Relations interinstitutionnelles (MeSH)</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Public Health Administration</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Administration de la santé publique</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Administrative Personnel</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Personnel administratif</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Alberta</term><term>Analysis of Variance</term><term>Health Planning</term><term>Health Workforce</term><term>Humans</term><term>Interinstitutional Relations</term><term>Pandemics</term><term>Surveys and Questionnaires</term><term>Systems Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Alberta</term><term>Analyse de variance</term><term>Analyse des systèmes</term><term>Enquêtes et questionnaires</term><term>Humains</term><term>Main-d'oeuvre en santé</term><term>Pandémies</term><term>Planification en santé</term><term>Relations interinstitutionnelles</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Recent research has suggested that perceived organizational connectivity may serve as an important measure of public health preparedness. Presumably, organizations with higher perceived connectivity also have a greater number of actual organizational ties. Using network analysis, we evaluate this presumption by assessing the correlation between perceived organizational connectivity and reported inter-organizational connections.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>During late 2007-early 2008, representatives from organizations involved in the delivery of public health systems in Alberta were asked to complete an online questionnaire on public health preparedness. Organizational jurisdictional information was collected. Items from Dorn and colleagues connectivity scale (2007) were used to measure perceived organizational connectivity. Inter-organizational network data on formal connections in the area of pandemic influenza preparedness were collected using a roster approach. These data were imported into UCINET to calculate in- and out-degree centrality scores for each organization. One-way ANOVA tests assessed if perceived connectivity and in- and out-degree centrality varied among jurisdictions. Pearson correlation coefficients were used to assess the correlation of perceived connectivity and in- and out-degree centrality.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Significant mean differences among jurisdictions were observed for in-degree (F(3,116) = 26.60, p < 0.001) and between provincial and lower jurisdictions for out-degree centrality (F(3,116) = 5.24, p < 0.01). Higher jurisdictions had higher average centrality. Perceived organizational connectivity was correlated with out-degree (r(123) = 0.22, p < 0.05) but not in-degree centrality (r(123) = -0.07, p > 0.05).</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The results suggest in terms of pandemic preparedness that perceived connectivity may serve as a partial proxy measure of formal out-degree network connectivity.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20219116</PMID><DateCompleted><Year>2013</Year><Month>02</Month><Day>04</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>01</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><PubDate><Year>2010</Year><Month>Mar</Month><Day>10</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Assessing the congruence between perceived connectivity and network centrality measures specific to pandemic influenza preparedness in Alberta.</ArticleTitle><Pagination><MedlinePgn>124</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2458-10-124</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Recent research has suggested that perceived organizational connectivity may serve as an important measure of public health preparedness. Presumably, organizations with higher perceived connectivity also have a greater number of actual organizational ties. Using network analysis, we evaluate this presumption by assessing the correlation between perceived organizational connectivity and reported inter-organizational connections.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">During late 2007-early 2008, representatives from organizations involved in the delivery of public health systems in Alberta were asked to complete an online questionnaire on public health preparedness. Organizational jurisdictional information was collected. Items from Dorn and colleagues connectivity scale (2007) were used to measure perceived organizational connectivity. Inter-organizational network data on formal connections in the area of pandemic influenza preparedness were collected using a roster approach. These data were imported into UCINET to calculate in- and out-degree centrality scores for each organization. One-way ANOVA tests assessed if perceived connectivity and in- and out-degree centrality varied among jurisdictions. Pearson correlation coefficients were used to assess the correlation of perceived connectivity and in- and out-degree centrality.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Significant mean differences among jurisdictions were observed for in-degree (F(3,116) = 26.60, p < 0.001) and between provincial and lower jurisdictions for out-degree centrality (F(3,116) = 5.24, p < 0.01). Higher jurisdictions had higher average centrality. Perceived organizational connectivity was correlated with out-degree (r(123) = 0.22, p < 0.05) but not in-degree centrality (r(123) = -0.07, p > 0.05).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The results suggest in terms of pandemic preparedness that perceived connectivity may serve as a partial proxy measure of formal out-degree network connectivity.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hall</LastName><ForeName>Justin N</ForeName><Initials>JN</Initials><AffiliationInfo><Affiliation>School of Kinesiology & Health Studies, Queen's University, Kingston, Canada. justin.hall@queensu.ca</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Moore</LastName><ForeName>Spencer</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Shiell</LastName><ForeName>Alan</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><GrantList 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