Staff View
The predictors of hospital mortality among adult patients with diabetes

Descriptive

TitleInfo
Title
The predictors of hospital mortality among adult patients with diabetes
Name (type = personal)
NamePart (type = family)
Bamashmous
NamePart (type = given)
Hosam
NamePart (type = date)
1974-
DisplayForm
Hosam Bamashmous
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Haque
NamePart (type = given)
Sayed
DisplayForm
Sayed Haque
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Srinivasan
NamePart (type = given)
Shankar
DisplayForm
Shankar Srinivasan
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Shabata
NamePart (type = given)
Masayuki
DisplayForm
Masayuki Shabata
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Mital
NamePart (type = given)
Dinesh
DisplayForm
Dinesh Mital
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 Related Professions
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2014
DateOther (qualifier = exact); (type = degree)
2014-05
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Background: Diabetes Mellitus is a lifelong chronic disease with higher risks of mortality and morbidity. The disease is associated with acute and chronic complications. Objective: To study of the risk factors, including the social determinants of the disease to help in mitigating the complications and reducing the deaths among patients with DM. Methods: The study is a secondary data analysis of existing dataset based on the Nationwide Inpatient Sample (NIS). The current study is based on the NIS data during the period 2007 to 2010 inclusive. The analysis will include only adult population (18 years age or older). My primary outcomes of interest will be the mortality (dead/alive) or (living status of adult diabetic subjects). Risk factors that will be investigated are Personal and demographic characteristics, socioeconomic factors, Medical factors, and health related factors. Descriptive (means and proportions/percentage) and bivariate analyses (chi-square and t-test) where appropriate. Regression models to evaluate the crude association between each potential predictor variable and all outcomes of interest. Then, a hierarchical generalized linear modeling (HGLM) approach will be used to assess the odds of changing death rate controlling for potential confounders. Results: A sample of 438838 participated in the 4 year included in the study. Death Rate among diabetic patients decreased from 2007-2010 significantly. Race, income, insurance, patient living location, admission source, admission type, other diagnosis, drugs, age and many other factors have statistical significant difference between rate of death among diabetic patients compared to non diabetic subjects. We found that age, total charge, no of diagnosis, no of procedures, drug risk mortality and severity, LOS, and comorbid conditions are statistically significant risk factors for higher mortality among diabetic subjects compared to non diabetic subjects controlling for the other factors and potential confounders. All significant relationships were tested at the alpha level of (P<0.05). Conclusion: The study shows the different risk factors for mortality in the adult diabetic patients. The study showed demographic socioeconomic, and health conditions risk factors. The crude analysis showed the individual effect of each factor and the prediction model showed how these factors play in the existence and controlling for the other factors.
Subject (authority = RUETD)
Topic
Biomedical Informatics
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5568
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note
Supplementary File: Page formatting
Extent
132 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Hosam Bamashmous
Subject (authority = ETD-LCSH)
Topic
Diabetes--Mortality--United States
Subject (authority = ETD-LCSH)
Topic
Diabetes--Complications--United States
Subject (authority = ETD-LCSH)
Topic
Diabetics--United States
Subject (authority = ETD-LCSH)
Topic
Hospital patients--Mortality--United States--Statistics
RelatedItem (type = host)
TitleInfo
Title
School of Health Related 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/T3DB8043
Genre (authority = ExL-Esploro)
ETD doctoral
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Bamashmous
GivenName
Hosam
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-04-22 18:03:42
AssociatedEntity
Name
Hosam Bamashmous
Role
Copyright holder
Affiliation
Rutgers University. School of Health Related 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
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
RULTechMD (ID = TECHNICAL2)
ContentModel
ETD
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024