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dc.contributor.authorGibbons, Deborah E.
dc.contributor.authorSamaddar, Subhashish
dc.date.accessioned2014-08-25T22:07:23Z
dc.date.available2014-08-25T22:07:23Z
dc.date.issued2009-05
dc.identifier.citationDecision Sciences, Volume 40, Number 2, May 2009.
dc.identifier.urihttp://hdl.handle.net/10945/43096
dc.description.abstractThis study uses fully factorial computer simulation to identify referral network attributes and referral decision rules that streamline the routing of people to urgent, limited services. As an example of a scenario, the model represents vaccine delivery in a city of 100,000 people during the first 30 days of a pandemic. By modeling patterns of communication among health care providers and daily routing of overflow clients to affiliated organizations, the simulations determine cumulative effects of referral network designs and decision rules on citywide delivery of available vaccines. Referral networks generally improve delivery rates when compared with random local search by clients. Increasing the health care organizations’ tendencies to form referral partnerships from zero to about four partners per organization sharply increases vaccine delivery under most conditions, but further increases in partnering yield little or no gain in system performance. When making referrals, probabilistic selection among partner organizations that have any capacity to deliver vaccines is more effective than selection of the highest-capacity partner, except when tendencies to form partnerships are very low. Implications for designing health and human service referral networks and helping practitioners optimize their use of the networks are discussed. Suggestions for using simulations to model comparable systems are provided.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleDesigning Referral Network Structures and Decision Rules to Streamline Provision of Urgent Health and Human Servicesen_US
dc.typeArticleen_US
dc.contributor.departmentGraduate School of Business & Public Policy (GSBPP)
dc.subject.authorAgent-Based Modelsen_US
dc.subject.authorComputational Modelsen_US
dc.subject.authorEmergency Servicesen_US
dc.subject.authorHealth Careen_US
dc.subject.authorHumanitarian Logisticsen_US
dc.subject.authorInterorganizational Networksen_US
dc.subject.authorNetwork Structuresen_US
dc.subject.authorPublic Health Systemsen_US
dc.subject.authorReferral Networksen_US
dc.subject.authorReferral Partnersen_US
dc.subject.authorSimulationen_US
dc.subject.authorSocial Networksen_US
dc.subject.authorVaccine Deliveryen_US


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