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Improving medication adherence in individuals with psychiatric illesses

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TitleInfo
Title
Improving medication adherence in individuals with psychiatric illesses
Name (type = personal)
NamePart (type = family)
Alcala
NamePart (type = given)
Meghann
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Meghann Alcala
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author
Name (type = personal)
NamePart (type = family)
Caldwell
NamePart (type = given)
Barbara
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Barbara Caldwell
Affiliation
Advisory Committee
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chair
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NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Nursing - RBHS
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school
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Text
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theses
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DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2020
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2020-05
Language
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English
Abstract (type = abstract)
Schizophrenia and schizoaffective disorder are chronic, serious mental health illnesses that can impact an individual’s well-being and result in severe symptoms. Psychiatric medications are a necessary treatment for people with these disorders; yet, many patients do not take their medications as prescribed. Medication nonadherence often results inadequate symptom reduction, poor psychosocial functioning, arrests, substance use, and high rates of relapse and hospitalizations.

The purpose of this quality improvement project was to use a psychoeducation program and mobile device application (app), Medisafe, to improve medication adherence from baseline medication adherence in adult psychiatric outpatients with schizophrenia or schizoaffective disorder.

Methodology included improving medication adherence using a quality improvement approach, implementation of a psychoeducation program over a series of four weekly approximate one-hour sessions once a week; and implementation of Medisafe. The Medication Adherence Rating Scale (MARS) was administered pre-post- and post-intervention. The Mobile Device App Satisfaction Survey (MDASS), and Clinical Global Impressions Scale (CGI) were administered pre- and post-intervention to measure the study outcome. Also, weekly adherence percentage reports were evaluated on participants’ mobile device apps.

Results were that MARS and MDASS results were not statistically significant, while CGI results were statistically significant post-intervention.

Implications are that the app can continue to bed used in the mental health population, yet further research is needed.
Subject (authority = local)
Topic
Medication adherence
Subject (authority = RUETD)
Topic
Psychiatric/Mental Health Nurse Practitioner
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Rutgers University Electronic Theses and Dissertations
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ETD_10776
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application/pdf
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text/xml
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1 online resource (128 pages)
Note (type = degree)
DNP
Note (type = bibliography)
Includes bibliographical references
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Title
School of Nursing (RBHS) DNP Projects
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rucore10004500001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-2jp1-9m82
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Alcala
GivenName
Meghann
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-04-19 16:53:44
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Name
Meghann Alcala
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Copyright holder
Affiliation
Rutgers University. School of Nursing - RBHS
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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.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2022-05-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 31st, 2022.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2020-04-19T16:47:45
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2020-07-31T12:29:32
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