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Hospitalization characteristics of Parkinson’s Disease inpatients in the United States

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TitleInfo
Title
Hospitalization characteristics of Parkinson’s Disease inpatients in the United States
SubTitle
a nationwide analysis
Name (type = personal)
NamePart (type = family)
Almusharraf
NamePart (type = given)
Amal Abdullah
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Amal Abdullah Almusharraf
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RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Srinivasan
NamePart (type = given)
Shankar
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Shankar Srinivasan
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Advisory Committee
Role
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chair
Name (type = personal)
NamePart (type = family)
Coffman
NamePart (type = given)
Frederick
DisplayForm
Frederick Coffman
Affiliation
Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Gohel
NamePart (type = given)
Suril
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Suril Gohel
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Health Professions
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2018
DateOther (qualifier = exact); (type = degree)
2018-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2018
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
BACKGROUND: Parkinson’s Disease (PD) is the second most common neurodegenerative disease found in geriatric patients. It entails heavy burden to patients and governments in terms of high expenditures of medical services, insurance and poor quality of life. The objective of this study was to investigate the hospitalization characteristics of PD inpatients and determine the predictors and their interactive effects on the length of hospital stay (LOS), total charges and in-hospital mortality. METHOD: This study utilized the Nationwide Inpatient Sample (NIS) for the years 2007 to 2012. The data contained patients' demographic characteristics like age, gender, race, insurance type, and income. Also, the data involved other health variables like types and number of comorbidities, number of procedures, admission types, and type of PD. The SPSS statistical analysis software was used to analyze the NIS data of PD, where all outcomes with p values less than 0.05 were considered significant. Multinomial Logistic Regression and Multiple Linear Regression techniques were used to detect significant predictors of study outcomes. RESULTS: Descriptive analysis of this study showed the highest incidence of PD in geriatric patients as being White, Males, and patients on Medicare who were primarily emergency admissions. Males were more likely to have both major and extreme loss of function and major and extreme likelihood of dying. The latter was observed even for in-hospital mortality (i.e. higher risk for in hospital mortality). Blacks were seen to have higher odds of loss of function and likelihood of dying. In hospitality mortality didn’t reveal the same risk. Length of Stay is seen to decrease over the years 2007 to 2012 – this could possibly be due to improved care and procedures requiring lesser stay in the hospital. Mortality is also seen to decrease over the same period again possibly due to improved care and procedures. However total costs are on a rising trend indicating the increasing cost per discharge (which has remained same over the years on average) possibly due to the more newer and costly procedures. Advanced age was the main predictor of mortality more than other health predictors confirming the age associated aspects of Parkinson’s Disease as has been corroborated by innumerable studies in literature. Mortality is also seen to decrease over the same period (2007-2012) again possibly due to improved care and procedures. Since most of the admissions are through the Emergency Room there exists the possibility of complications leading to mortality. CONCLUSION: The study revealed several significant results related to hospitalization outcomes of Parkinson’s disease patients. Age (65 and above) was observed to be a major hospitalization factor for PD patients and the most significant factor for in hospital mortality. Certain comorbidities (CHF, fluid/electrolyte disorders, metastases, and weight loss) were found to augment the risk of mortality of the PD patients. Although Length of Stay (LOS) is on the decrease over the years of our study yet the median LOS is at least 1 day longer than average most possibly due to age related complications requiring longer hospital stay. Also possibly due to the increased number of procedures the Total Charges per PD patient is seen to be on the increase. This study corroborates the idiopathic nature of the Parkinson’s Disease even for the hospitalized patients though the information on LOS and Total Charges could be employed for better resource management of such patients. The results from this study would be highly beneficial to hospital administrators, insurance providers, patients and their caregivers.
Subject (authority = RUETD)
Topic
Biomedical Informatics
Subject (authority = ETD-LCSH)
Topic
Parkinson's disease--Patients--United States
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_8570
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xi, 91 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Amal Abdullah Almusharraf
RelatedItem (type = host)
TitleInfo
Title
School of Health Professions ETD Collection
Identifier (type = local)
rucore10007400001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3ZS30RQ
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
Almusharraf
GivenName
Amal
MiddleName
Abdullah
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-12-18 14:50:54
AssociatedEntity
Name
AMAL ALMUSHARRAF
Role
Copyright holder
Affiliation
Rutgers University. School of Health Professions
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

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ETD
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windows xp
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DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2017-12-18T14:48:24
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2017-12-18T14:48:24
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