RUcore: Rutgers University Community Repository
The effects of a cognitive behavioral computer based program on depressed inpatients
Descriptive
TitleInfo
Title
The effects of a cognitive behavioral computer based program on depressed inpatients
Name
(type = personal)
NamePart
(type = family)
Dorfman
NamePart
(type = given)
Lisette
NamePart
(type = date)
1974-
DisplayForm
Lisette Dorfman
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Rankin
NamePart
(type = given)
Marlene
DisplayForm
Marlene Rankin
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Eller
NamePart
(type = given)
Lucille
DisplayForm
Lucille Eller
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Rick
NamePart
(type = given)
Pessagno
DisplayForm
Pessagno Rick
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Pessagno
NamePart
(type = given)
Richard
DisplayForm
Richard Pessagno
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Peden
NamePart
(type = given)
Ann
DisplayForm
Ann Peden
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)
2012
DateOther
(qualifier = exact);
(type = degree)
2012-05
CopyrightDate
(qualifier = exact)
2012
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Major depression is a serious medical illness affecting millions of American adults in a given year. Often anxiety as well as negative automatic thoughts co-occurs in individuals with depression. Although a significant problem, few have access to effective treatments for depression. One solution that has the potential to be disseminated on a large scale in a cost effective manner is a computerized cognitive behavioral therapy program. Cognitive Therapy: A Multimedia Learning Program (CTMP) is the first designed and tested multimedia program for computer assisted therapy (Wright & Wright, 1997). The purpose of this study was to examine the effects of a computerized based cognitive behavioral therapy program, Cognitive Therapy: A Multimedia Learning Program, for the symptoms of depression, anxiety, and automatic thoughts in a select population of depressed hospitalized psychiatric patients. It was hypothesized that subjects who participate in this computerized intervention would have a greater decrease in symptoms of depression, anxiety, automatic thoughts and shorter length of stay compared to the depressed usual treatment group. A sample of 86 subjects were recruited and randomized into either the usual treatment group or the computerized cognitive behavioral therapy group. A demographic data questionnaire, medication questionnaire, Beck Depression Inventory-II, Beck Anxiety Inventory, and Automatic Thoughts Questionnaire were utilized. A multivariate analysis of covariance (MANCOVA), independent sample t-test, and paired-sample t-test analyses were used to test the research hypotheses. The results did not support the Cognitive Therapy: A Multimedia Learning Program to be more effective than the usual treatment group. However, the results supported that this program was effective in the reduction of depressive symptoms, anxiety, and negative automatic thoughts at the time of discharge. There are several explanations related to the research design that could have accounted for this outcome. The results of this study have significant implications for the future within the context of the Affordable Care Act. The Cognitive Therapy: A Multimedia Learning Program has the potential to improve the quality of care, ensure access to care via new technologies and be cost effective for a vulnerable population such as psychiatric patients. Nurses will have an essential role in furthering this research as well as integrating this program into their professional practice.
Subject
(authority = RUETD)
Topic
Nursing
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_4075
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
viii, 121 p. : ill.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = vita)
Includes vita
Note
(type = statement of responsibility)
by Lisette Dorfman
Subject
(authority = ETD-LCSH)
Topic
Depression, Mental--Treatment
Subject
(authority = ETD-LCSH)
Topic
Psychotherapy patients--Mental health
Subject
(authority = ETD-LCSH)
Topic
Psychotherapy patients--Mental health services
Subject
(authority = ETD-LCSH)
Topic
Cognitive therapy
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000065026
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/T3W094WW
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
Dorfman
GivenName
Lisette
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2012-05-01 14:28:19
AssociatedEntity
Name
Lisette Dorfman
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.
RightsEvent
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2012-05-31
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = end)
2012-11-30
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2012.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top
Technical
FileSize
(UNIT = bytes)
510976
OperatingSystem
(VERSION = 5.1)
windows xp
ContentModel
ETD
MimeType
(TYPE = file)
application/pdf
MimeType
(TYPE = container)
application/x-tar
FileSize
(UNIT = bytes)
512000
Checksum
(METHOD = SHA1)
421a345aa26d42d35f1c0fa030db7df07bc38cfd
Back to the top
Statistical Profile