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Factors associated with chemotherapy-related unplanned hospitalization and adverse events in patients with lung and colorectal cancer

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TitleInfo
Title
Factors associated with chemotherapy-related unplanned hospitalization and adverse events in patients with lung and colorectal cancer
Name (type = personal)
NamePart (type = family)
Fessele
NamePart (type = given)
Kristen Lee
NamePart (type = date)
1968-
DisplayForm
Kristen Fessele
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Atkins
NamePart (type = given)
Robert
DisplayForm
Robert Atkins
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Hayat
NamePart (type = given)
Matthew
DisplayForm
Matthew Hayat
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Ayres
NamePart (type = given)
Cynthia
DisplayForm
Cynthia Ayres
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Mayer
NamePart (type = given)
Deborah K.
DisplayForm
Deborah K. Mayer
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2013
DateOther (qualifier = exact); (type = degree)
2013-10
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Chemotherapy for non-hematologic cancers is primarily administered and managed in the outpatient setting, and little is known about factors associated with hospitalizations for patients experiencing treatment-related adverse events so severe as to require inpatient care. This retrospective analysis conducted within the SEER-Medicare linked dataset in the non-metastatic lung and colorectal cancer populations revealed predictors related to the likelihood of initial unplanned hospitalization, as well as those predictive of the number of hospitalizations experienced. The tumor types were selected to allow study among two of the most frequently admitted solid tumors identified in the literature, from a nationally validated, population-based dataset comprised of patients over age 65, a group that is underrepresented in clinical trials. Factors including patient age, sex, race, marital status, degree of residential urbanization, median income, educational level, cancer type, stage, receipt of radiation therapy and comorbidities were studied and considered as predictive factors. Two separate tumor-based cohorts, lung (n = 2457) and colorectal cancer (n = 1485), were constructed and analyzed in parallel. Patient eligibility included those age greater than 65 years at the time of diagnosis, non-metastatic lung or colorectal cancer as their first malignant primary tumor, uninterrupted Medicare Part A and B coverage with no HMO enrollment, and those who received intravenous chemotherapy at least one time prior to experiencing a cancer-related, non-surgical hospitalization. The cohorts were analyzed using advanced statistical models that accounted for the potential within-region effects of geography at the SEER registry level. Decreasing age, non-white race, lower rates of high school graduation, higher median income, degree of urbanization, receipt of radiation therapy and number of comorbidities were significant predictors of the likelihood of an initial unplanned hospitalization for lung cancer. Non-white race, receipt of radiation therapy, degree of urbanization and number of comorbidities were factors associated with an increased number of hospitalizations. For colorectal cancer, female sex, decreasing age, higher rates of high school graduation, lower median income, degree of urbanization and number of comorbidities were significant predictors of initial unplanned hospitalizations. Non-white race, receipt of radiation therapy, degree of urbanization and number of comorbidities were factors associated with increased number of unplanned hospitalizations.
Subject (authority = RUETD)
Topic
Nursing
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5062
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xi, 125 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Kristen Lee Fessele
Subject (authority = ETD-LCSH)
Topic
Lungs--Cancer--Chemotherapy
Subject (authority = ETD-LCSH)
Topic
Colon (Anatomy)--Cancer--Chemotherapy
Subject (authority = ETD-LCSH)
Topic
Drugs--Side effects
Subject (authority = ETD-LCSH)
Topic
Hospitals--Admission and discharge
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T33J39ZZ
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Fessele
GivenName
Kristen
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2013-09-27 00:07:39
AssociatedEntity
Name
Kristen Fessele
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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