Forging Partnerships to Develop and Test Relational Agent Technology to Improve Medication Adherence in Schizophrenia

2.50
Hdl Handle:
http://hdl.handle.net/10755/163360
Category:
Abstract
Type:
Presentation
Title:
Forging Partnerships to Develop and Test Relational Agent Technology to Improve Medication Adherence in Schizophrenia
Author(s):
Schlenk, Elizabeth A.; Puskar, Kathryn; Sereika, Susan M.; Bickmore, Timothy
Author Details:
Elizabeth A. Schlenk, PhD, RN, Assistant Professor, Pittsburgh University School of Nursing, Pittsburgh, Pennsylvania, USA, email: els100@pitt.edu; Kathryn Puskar, DrPH, RNC; Susan M. Sereika, PhD; Timothy Bickmore, PhD
Abstract:
Purpose: To develop and conduct preliminary testing of a computer software program using relational agent technology to improve medication adherence in adults with schizophrenia. The software will be designed with a multidisciplinary alliance of nurse researchers in collaboration with a computer scientist trained at Massachusetts Institute of Technology. It is hypothesized that this cutting edge computer-based technology will address the significant problem of poor adherence in chronic disease. Theoretical Framework: The intervention is based on Behavioral Management Theory. Methods (Design, Sample, Setting, Measures, Analysis): A pretest-posttest design will be used. The setting is the University of Pittsburgh School of Nursing. A convenience sample of 20 schizophrenic patients on any antipsychotic medication will be recruited from the local mental health outpatient clinic. The software intervention is seven modules consisting of education about schizophrenia, managing side effects of medication, managing symptoms, scheduling medication taking, overcoming setbacks, using appropriate coping, and finding social support. Subjects will receive a computer with the newly developed software and instructed in daily use of the software program. Subjects will be given an electronic monitoring cap to objectively measure medication adherence. Assessments will be made at baseline, end of adherence screening at 30 days, posttest at 60 days, and follow-up at 90 days. Measures include electronic drug monitor, blood pressure, weight, electrocardiogram, blood tests, hospital re-admissions, Brief Psychiatric Rating Scale, Positive and Negative Symptom Scale, Medication-Taking Questionnaire, Comorbidity Questionnaire, Brief Cope Scale, SF-36 Health Survey, and a demographic questionnaire. Statistical analysis will include descriptive statistics and repeated measures modeling. Results: The software is currently being developed. Results are pending. Conclusions and Implications: Computer technology based on behavioral management theory using education and the relationship of a virtual health care provider on a computer screen can potentially improve adherence and other health outcomes. [Symposium presentation]
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2006
Conference Name:
18th Annual Scientific Sessions
Conference Host:
Eastern Nursing Research Society
Conference Location:
Cherry Hill, New Jersey
Description:
�New Momentum for Nursing Research: Multidisciplinary Alliances�, held on April 20th -22nd at the Hilton in Cherry Hill, New Jersey
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleForging Partnerships to Develop and Test Relational Agent Technology to Improve Medication Adherence in Schizophreniaen_GB
dc.contributor.authorSchlenk, Elizabeth A.en_US
dc.contributor.authorPuskar, Kathrynen_US
dc.contributor.authorSereika, Susan M.en_US
dc.contributor.authorBickmore, Timothyen_US
dc.author.detailsElizabeth A. Schlenk, PhD, RN, Assistant Professor, Pittsburgh University School of Nursing, Pittsburgh, Pennsylvania, USA, email: els100@pitt.edu; Kathryn Puskar, DrPH, RNC; Susan M. Sereika, PhD; Timothy Bickmore, PhDen_US
dc.identifier.urihttp://hdl.handle.net/10755/163360-
dc.description.abstractPurpose: To develop and conduct preliminary testing of a computer software program using relational agent technology to improve medication adherence in adults with schizophrenia. The software will be designed with a multidisciplinary alliance of nurse researchers in collaboration with a computer scientist trained at Massachusetts Institute of Technology. It is hypothesized that this cutting edge computer-based technology will address the significant problem of poor adherence in chronic disease. Theoretical Framework: The intervention is based on Behavioral Management Theory. Methods (Design, Sample, Setting, Measures, Analysis): A pretest-posttest design will be used. The setting is the University of Pittsburgh School of Nursing. A convenience sample of 20 schizophrenic patients on any antipsychotic medication will be recruited from the local mental health outpatient clinic. The software intervention is seven modules consisting of education about schizophrenia, managing side effects of medication, managing symptoms, scheduling medication taking, overcoming setbacks, using appropriate coping, and finding social support. Subjects will receive a computer with the newly developed software and instructed in daily use of the software program. Subjects will be given an electronic monitoring cap to objectively measure medication adherence. Assessments will be made at baseline, end of adherence screening at 30 days, posttest at 60 days, and follow-up at 90 days. Measures include electronic drug monitor, blood pressure, weight, electrocardiogram, blood tests, hospital re-admissions, Brief Psychiatric Rating Scale, Positive and Negative Symptom Scale, Medication-Taking Questionnaire, Comorbidity Questionnaire, Brief Cope Scale, SF-36 Health Survey, and a demographic questionnaire. Statistical analysis will include descriptive statistics and repeated measures modeling. Results: The software is currently being developed. Results are pending. Conclusions and Implications: Computer technology based on behavioral management theory using education and the relationship of a virtual health care provider on a computer screen can potentially improve adherence and other health outcomes. [Symposium presentation]en_GB
dc.date.available2011-10-27T11:06:09Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T11:06:09Z-
dc.conference.date2006en_US
dc.conference.name18th Annual Scientific Sessionsen_US
dc.conference.hostEastern Nursing Research Societyen_US
dc.conference.locationCherry Hill, New Jerseyen_US
dc.description�New Momentum for Nursing Research: Multidisciplinary Alliances�, held on April 20th -22nd at the Hilton in Cherry Hill, New Jerseyen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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