Geographic Analysis of Trauma Readmissions in North Texas

dc.contributor.advisorGwirtz, Patricia A.
dc.contributor.committeeMemberBerg, Rance E.
dc.contributor.committeeMemberSingh, Meharvan
dc.creatorSanchez, Derick J.
dc.date.accessioned2019-08-22T21:03:46Z
dc.date.available2019-08-22T21:03:46Z
dc.date.issued2016-12-01
dc.date.submitted2018-12-13T14:12:12-08:00
dc.description.abstractDue to the high cost and increased risk of mortality associated with unplanned patient readmissions, research has been aimed to identify risk-factors in patients with high hospital utilization and recidivism. The primary aim of this study was to characterize readmissions across multiple institutions in patients initially admitted to a single urban Level I trauma center. Analysis was carried out to test the hypothesis that a patient’s geographic location of residence can be used to predict readmission rates. Data was queried from a regional database that is comprised of more than 150 hospitals in the North Texas region. Patient ZIP code and county of residence were analyzed using binary logistic regression to determine significance of predictability of readmission by patient geography. Additional variables such as demographics, diagnosis, Elixhauser comorbidities, and insurance were also analyzed to create a full clinical and geographic regression model describing patterns in readmissions.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/20.500.12503/29038
dc.language.isoen
dc.provenance.legacyDownloads3
dc.subjectMedical Sciences
dc.subjectMedicine and Health Sciences
dc.subjectpatient readmissions
dc.subjecttrauma
dc.subjectElixhauser
dc.subjectgeographic regression model
dc.titleGeographic Analysis of Trauma Readmissions in North Texas
dc.typeInternship Practicum Report
dc.type.materialtext
thesis.degree.departmentGraduate School of Biomedical Sciences
thesis.degree.disciplineClinical Research Management
thesis.degree.grantorUniversity of North Texas Health Science Center at Fort Worth
thesis.degree.nameMaster of Science

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