Using Bayesian influence diagrams to assess organizational performance in 4 California county health departments, April-July 2009.
Identifieur interne : 000531 ( PubMed/Curation ); précédent : 000530; suivant : 000532Using Bayesian influence diagrams to assess organizational performance in 4 California county health departments, April-July 2009.
Auteurs : Louise K. Comfort [États-Unis] ; Steve Scheinert ; Jungwon Yeo ; Russell Schuh ; Luis Duran ; Margaret A. PotterSource :
- Journal of public health management and practice : JPHMP [ 1550-5022 ]
Descripteurs français
- KwdFr :
- MESH :
- normes : Pratique en santé publique.
- organisation et administration : Services de santé communautaires.
- Californie, Efficacité fonctionnement, Grippe humaine, Humains, Pandémies, Planification des mesures d'urgence en cas de catastrophe, Sous-type H1N1 du virus de la grippe A, Théorème de Bayes.
English descriptors
- KwdEn :
- MESH :
- geographic : California.
- organization & administration : Community Health Services.
- prevention & control : Influenza, Human.
- standards : Public Health Practice.
- Bayes Theorem, Disaster Planning, Efficiency, Organizational, Humans, Influenza A Virus, H1N1 Subtype, Pandemics.
Abstract
A Bayesian influence diagram is used to analyze interactions among operational units of county health departments. This diagram, developed using Bayesian network analysis, represents a novel method of analyzing the internal performance of county health departments that were operating under the simultaneous constraints of budget cuts and increased demand for services during the H1N1 threat in California, April-July 2009. This analysis reveals the interactions among internal organizational units that degrade performance under stress or, conversely, enable a county health department to manage heavy demands effectively.
DOI: 10.1097/PHH.0b013e31828bf6f6
PubMed: 23514661
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This diagram, developed using Bayesian network analysis, represents a novel method of analyzing the internal performance of county health departments that were operating under the simultaneous constraints of budget cuts and increased demand for services during the H1N1 threat in California, April-July 2009. This analysis reveals the interactions among internal organizational units that degrade performance under stress or, conversely, enable a county health department to manage heavy demands effectively. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23514661</PMID><DateCompleted><Year>2014</Year><Month>06</Month><Day>30</Day></DateCompleted><DateRevised><Year>2013</Year><Month>08</Month><Day>01</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1550-5022</ISSN><JournalIssue CitedMedium="Internet"><Volume>19 Suppl 2</Volume><PubDate><MedlineDate>2013 Sep-Oct</MedlineDate></PubDate></JournalIssue><Title>Journal of public health management and practice : JPHMP</Title><ISOAbbreviation>J Public Health Manag Pract</ISOAbbreviation></Journal><ArticleTitle>Using Bayesian influence diagrams to assess organizational performance in 4 California county health departments, April-July 2009.</ArticleTitle><Pagination><MedlinePgn>S63-4</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/PHH.0b013e31828bf6f6</ELocationID><Abstract><AbstractText>A Bayesian influence diagram is used to analyze interactions among operational units of county health departments. This diagram, developed using Bayesian network analysis, represents a novel method of analyzing the internal performance of county health departments that were operating under the simultaneous constraints of budget cuts and increased demand for services during the H1N1 threat in California, April-July 2009. This analysis reveals the interactions among internal organizational units that degrade performance under stress or, conversely, enable a county health department to manage heavy demands effectively. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Comfort</LastName><ForeName>Louise K</ForeName><Initials>LK</Initials><AffiliationInfo><Affiliation>Graduate School of Public and International Affairs, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA. comfort@gspia.pitt.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Scheinert</LastName><ForeName>Steve</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Yeo</LastName><ForeName>Jungwon</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Schuh</LastName><ForeName>Russell</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Duran</LastName><ForeName>Luis</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Potter</LastName><ForeName>Margaret A</ForeName><Initials>MA</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Public Health Manag Pract</MedlineTA><NlmUniqueID>9505213</NlmUniqueID><ISSNLinking>1078-4659</ISSNLinking></MedlineJournalInfo><CitationSubset>T</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002140" MajorTopicYN="N" Type="Geographic">California</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003153" MajorTopicYN="N">Community Health Services</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="N">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004189" MajorTopicYN="N">Disaster Planning</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017598" MajorTopicYN="Y">Efficiency, Organizational</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="N">Influenza A Virus, H1N1 Subtype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015980" MajorTopicYN="N">Public Health Practice</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>3</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>3</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>7</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23514661</ArticleId><ArticleId IdType="doi">10.1097/PHH.0b013e31828bf6f6</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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