2.50
Hdl Handle:
http://hdl.handle.net/10755/164695
Category:
Abstract
Type:
Presentation
Title:
DEVELOPING AN INFORMATION VISUALIZATION TOOL FOR ORAL MUCOSITIS
Author(s):
Beck, Susan; Agutter, Jim; Dudley, William; Peterson, Douglas; McGuire, Deborah
Author Details:
Susan Beck, APRN PHD AOCN FAAN, Associate Dean for Academic Programs, University of Utah, Salt Lake City, Utah, USA, email: susan.beck@nurs.utah.edu; Jim Agutter, M Arch; William Dudley, PhD; Douglas Peterson, DMD, PhD, Neag Comprehensive Cancer Center, Farmington, Connecticut; Deborah McGuire, PhD, RN, FAAN
Abstract:
Oral mucositis (OM) is a common side effect of high dose cancer therapy, and can lead to clinically significant sequelae. Tools to enhance knowledge of the complex trajectory of OM over time could inform both research and clinical practice, particularly in the substantial number of solid tumor patients worldwide receiving chemotherapy. The aim of this study is to investigate and develop Information Visualization (InfoViz) representations that provide new insight into the complex and multi-dimensional aspects of OM over time. These aspects include anatomic, physiologic and dynamic clinical features of OM (e.g., erythema, ulceration, pain and white blood cell count). The contemporary pathobiologic model of OM proposes that clinical manifestations of OM are due to a complex dynamic process principally involving oral epithelium and connective tissue. Despite this unifying paradigm, individual trajectories in solid tumor patients have considerable variability due in part to patient-related, therapy- related, and clinical factors. Development of the visualization employed a user-centered development methodology. This involved domain analysis, schematic design of prototypes, focus groups with potential users, and subsequent refinement of the design. During the domain analysis phase, we conducted and recorded in-depth interviews with 7 prominent experts on OM, representing the fields of oral medicine, nursing, and psychology. The transcripts were analyzed for important themes, clinical variables and specific attributes and processes. Using the information gathered during the domain analysis, several schematic prototypes were developed. These prototypes were then refined during focus group sessions with OM experts. During domain analysis, we identified the most important objects (e.g. oral mucosa) and operations (cellular destruction) in the chosen domain of OM, the attributes (e.g. erythema) of these objects, and the relationships among objects. These concepts were then encoded visually focusing on the temporal aspect. This approach has the potential to enable clinicians to identify changes in OM over time and to adjust their assessment and therapeutic approaches based on clinically relevant changes. If this application is successful, InfoViz investigations may lead to new insight into complex multi-dimensional processes in oncology practice.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2007
Conference Name:
32nd Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Las Vegas, Nevada, USA
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.titleDEVELOPING AN INFORMATION VISUALIZATION TOOL FOR ORAL MUCOSITISen_GB
dc.contributor.authorBeck, Susanen_US
dc.contributor.authorAgutter, Jimen_US
dc.contributor.authorDudley, Williamen_US
dc.contributor.authorPeterson, Douglasen_US
dc.contributor.authorMcGuire, Deborahen_US
dc.author.detailsSusan Beck, APRN PHD AOCN FAAN, Associate Dean for Academic Programs, University of Utah, Salt Lake City, Utah, USA, email: susan.beck@nurs.utah.edu; Jim Agutter, M Arch; William Dudley, PhD; Douglas Peterson, DMD, PhD, Neag Comprehensive Cancer Center, Farmington, Connecticut; Deborah McGuire, PhD, RN, FAANen_US
dc.identifier.urihttp://hdl.handle.net/10755/164695-
dc.description.abstractOral mucositis (OM) is a common side effect of high dose cancer therapy, and can lead to clinically significant sequelae. Tools to enhance knowledge of the complex trajectory of OM over time could inform both research and clinical practice, particularly in the substantial number of solid tumor patients worldwide receiving chemotherapy. The aim of this study is to investigate and develop Information Visualization (InfoViz) representations that provide new insight into the complex and multi-dimensional aspects of OM over time. These aspects include anatomic, physiologic and dynamic clinical features of OM (e.g., erythema, ulceration, pain and white blood cell count). The contemporary pathobiologic model of OM proposes that clinical manifestations of OM are due to a complex dynamic process principally involving oral epithelium and connective tissue. Despite this unifying paradigm, individual trajectories in solid tumor patients have considerable variability due in part to patient-related, therapy- related, and clinical factors. Development of the visualization employed a user-centered development methodology. This involved domain analysis, schematic design of prototypes, focus groups with potential users, and subsequent refinement of the design. During the domain analysis phase, we conducted and recorded in-depth interviews with 7 prominent experts on OM, representing the fields of oral medicine, nursing, and psychology. The transcripts were analyzed for important themes, clinical variables and specific attributes and processes. Using the information gathered during the domain analysis, several schematic prototypes were developed. These prototypes were then refined during focus group sessions with OM experts. During domain analysis, we identified the most important objects (e.g. oral mucosa) and operations (cellular destruction) in the chosen domain of OM, the attributes (e.g. erythema) of these objects, and the relationships among objects. These concepts were then encoded visually focusing on the temporal aspect. This approach has the potential to enable clinicians to identify changes in OM over time and to adjust their assessment and therapeutic approaches based on clinically relevant changes. If this application is successful, InfoViz investigations may lead to new insight into complex multi-dimensional processes in oncology practice.en_GB
dc.date.available2011-10-27T12:05:19Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:05:19Z-
dc.conference.date2007en_US
dc.conference.name32nd Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationLas Vegas, Nevada, USAen_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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