Persistent Link:
http://hdl.handle.net/10150/195583
Title:
Validation of a Mass Casualty Model
Author:
Culley, Joan Marie
Issue Date:
2007
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
There is a paucity of literature evaluating mass casualty systems and no clear 'gold standard' for measuring the efficacy of information decision support systems or triage systems that can be used in mass casualty events. The purpose of this research was the preliminary validation of a comprehensive conceptual model for a mass casualty continuum of care. This research examined key relationships among entities/factors needed to provide real-time visibility of data that track patients, personnel, resources and potential hazards that influence outcomes of care during mass casualty events.A modified Delphi technique was used to validate the proposed model using a panel of experts. The four research questions measured the extent to which experts agreed that the: 1) ten constructs represent appropriate predictors of outcomes of care during mass casualty events; 2) proposed relationships among the constructs provide valid representations of mass casualty triage; 3) proposed indicators for each construct represent appropriate measurements for the constructs; and 4) the proposed model is seen as useful to the further study of information and technology requirements during mass casualty events. The usefulness of the online Delphi process was also evaluated.A purposeful sample of 18 experts who work in the field of emergency preparedness/response was selected from across the United States. Computer, Internet and email applications were used to facilitate a modified Delphi technique through which experts provided initial validation for the proposed conceptual model. Two rounds of the Delphi process were needed to satisfy the criteria for consensus and/or stability related to the constructs, relationships and indicators in the model. Experts viewed the proposed model as relatively useful (Mean = 5.3 on a 7-point scale). Experts rated the online Delphi process favorably.Constructs, relationships and indicators presented in this model are viewed as preliminary. Future research is needed to develop the tools to measure the constructs and then test the model as a framework for studying effects and outcomes of mass casualty events. This study provides a foundation for understanding the complex context in which mass casualty events take place and the factors that influence outcomes of care.
Type:
text; Electronic Dissertation
Keywords:
Emergency Preparedness; Nursing Informatics; Health Systems; Mass Casualty Model; Triage; Delphi Process
Degree Name:
PhD
Degree Level:
doctoral
Degree Program:
Nursing; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Effken, Judith
Committee Chair:
Effken, Judith

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleValidation of a Mass Casualty Modelen_US
dc.creatorCulley, Joan Marieen_US
dc.contributor.authorCulley, Joan Marieen_US
dc.date.issued2007en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThere is a paucity of literature evaluating mass casualty systems and no clear 'gold standard' for measuring the efficacy of information decision support systems or triage systems that can be used in mass casualty events. The purpose of this research was the preliminary validation of a comprehensive conceptual model for a mass casualty continuum of care. This research examined key relationships among entities/factors needed to provide real-time visibility of data that track patients, personnel, resources and potential hazards that influence outcomes of care during mass casualty events.A modified Delphi technique was used to validate the proposed model using a panel of experts. The four research questions measured the extent to which experts agreed that the: 1) ten constructs represent appropriate predictors of outcomes of care during mass casualty events; 2) proposed relationships among the constructs provide valid representations of mass casualty triage; 3) proposed indicators for each construct represent appropriate measurements for the constructs; and 4) the proposed model is seen as useful to the further study of information and technology requirements during mass casualty events. The usefulness of the online Delphi process was also evaluated.A purposeful sample of 18 experts who work in the field of emergency preparedness/response was selected from across the United States. Computer, Internet and email applications were used to facilitate a modified Delphi technique through which experts provided initial validation for the proposed conceptual model. Two rounds of the Delphi process were needed to satisfy the criteria for consensus and/or stability related to the constructs, relationships and indicators in the model. Experts viewed the proposed model as relatively useful (Mean = 5.3 on a 7-point scale). Experts rated the online Delphi process favorably.Constructs, relationships and indicators presented in this model are viewed as preliminary. Future research is needed to develop the tools to measure the constructs and then test the model as a framework for studying effects and outcomes of mass casualty events. This study provides a foundation for understanding the complex context in which mass casualty events take place and the factors that influence outcomes of care.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectEmergency Preparednessen_US
dc.subjectNursing Informaticsen_US
dc.subjectHealth Systemsen_US
dc.subjectMass Casualty Modelen_US
dc.subjectTriageen_US
dc.subjectDelphi Processen_US
thesis.degree.namePhDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineNursingen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorEffken, Judithen_US
dc.contributor.chairEffken, Judithen_US
dc.contributor.committeememberVerran, Joyceen_US
dc.identifier.proquest2440en_US
dc.identifier.oclc659748358en_US
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