title: Using Bayesian influence diagrams to assess organizational performance in 4 California county health departments, April-July 2009.
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.
authors.affiliation: Graduate School of Public and International Affairs, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA. comfort@gspia.pitt.edu
authors.forename: Louise K
authors.initials: LK
authors.lastname: Comfort
authors.forename: Steve
authors.initials: S
authors.lastname: Scheinert
authors.forename: Jungwon
authors.initials: J
authors.lastname: Yeo
authors.forename: Russell
authors.initials: R
authors.lastname: Schuh
authors.forename: Luis
authors.initials: L
authors.lastname: Duran
authors.forename: Margaret A
authors.initials: MA
authors.lastname: Potter
mesh_terms: D001499:Bayes Theorem; D002140:California; D003153:Community Health Services / Q000458:organization & administration; D004189:Disaster Planning; D017598:Efficiency, Organizational; D006801:Humans; D053118:Influenza A Virus, H1N1 Subtype; D007251:Influenza, Human / Q000517:prevention & control; D058873:Pandemics; D015980:Public Health Practice / Q000592:standards*