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The quantified self: utilization of a mobile application for the self-management of chronic diseases

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TitleInfo
Title
The quantified self: utilization of a mobile application for the self-management of chronic diseases
Name (type = personal)
NamePart (type = family)
Eyow
NamePart (type = given)
Hodan A.
NamePart (type = date)
1989
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Hodan A. Eyow
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author
Name (type = personal)
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Coffman
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Fredrick
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Fredrick Coffman
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Advisory Committee
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chair
Name (type = personal)
NamePart (type = family)
Srinivasan
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Shankar
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Shankar Srinivasan
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Advisory Committee
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internal member
Name (type = personal)
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Varga
NamePart (type = given)
Leah
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Leah Varga
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Advisory Committee
Role
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outside member
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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
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2019
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2019-05
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2019
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract
A contemporary trend is emerging in health informatics that literature refer to as the quantified self. Individuals engage in the self-tracking of any kind of biological, physical, behavioral, or environmental information as n=1 individual or in groups. As such, this study looks to uncover the opportunities to analyze and integrate mobile health application datasets for rendering self-tracked health data meaningful. In doing so, addressing the barriers to widespread adoption of self-tracking health and critiques regarding scientific soundness of patient generated health data. This study looks at the use of Flaredown, a mobile health application for managing any chronic condition. Data mining patient generated data is omnivorous in part because it has embarked on the project of discerning unanticipated relationships. This study examined the relationship between self-tracked symptom severity and treatment efficiency. The results found the strongest tracked symptom improvements to treatment for sharp pains followed by fatigue, brain fog, lack of motivation, fatigue and tiredness(combined) and lack of appetite. The results demonstrate that the use of mobile health application to quantifies one’s health and disease state makes the individual more knowable, calculable, and administrate through continuous self-tracking symptom severity and associated treatments.
Subject (authority = local)
Topic
mHealth
Subject (authority = RUETD)
Topic
Biomedical Informatics
Subject (authority = ETD-LCSH)
Topic
Medical informatics
Subject (authority = ETD-LCSH)
Topic
Chronically ill
Subject (authority = ETD-LCSH)
Topic
Application software
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
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ETD_9895
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application/pdf
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Extent
1 online resource (v, 68 pages)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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Title
School of Health Professions ETD Collection
Identifier (type = local)
rucore10007400001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-h31t-4a36
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
Eyow
GivenName
Hodan A.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-04-22 17:06:44
AssociatedEntity
Name
Hodan A. Eyow
Role
Copyright holder
Affiliation
Rutgers University. School of Health Professions
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Type
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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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