Predictive Variables in Men's Treatment Choices for Localized Prostate Cancer

2.50
Hdl Handle:
http://hdl.handle.net/10755/165319
Category:
Abstract
Type:
Presentation
Title:
Predictive Variables in Men's Treatment Choices for Localized Prostate Cancer
Author(s):
Berry, D.; Ellis, W.; Blasko, J.
Author Details:
D. Berry, University of Washington, Seattle, Washington, USA; W. Ellis; J. Blasko
Abstract:
Men diagnosed with localized prostate cancer (LPC) often have the opportunity to participate in the treatment choice. Nurses have important roles in assessment of personal factors that influence this decision. Purpose: The purpose of this study was to evaluate relationships between influential personal factors and medical factors on treatment choice and decision-related outcomes. Theoretical/Scientific Framework: The Decision Support Framework (DSF) is organized by determinants of decisions, decision support interventions and evaluation process and outcomes of the decision support. This study represents exploration and analyses of decision determinants that are required prior to intervention development. Methods: Patients in urology and radiation oncology practices in western Washington were invited to participate in this descriptive study by their clinicians during 2001-2003. Men completed questionnaires at home within 2 weeks of the informational clinic visit with the cancer clinician, but prior to treatment. This report presents data from 260 men diagnosed with LPC. Personal factors (influential people and outcomes), treatment choice (TC) and decision-related outcomes were queried along with demographic data Data Analysis: Relationships between all variables and the outcomes, Satisfaction with Decision (SWD) and TC, were explored using exhaustive CHAID (Chi-squared Automatic Interaction Detector) in AnswerTree 3.0 (SPSS, Chicago, IL). CHAID enables exploration of relationships through successive partitioning of variables. Findings and Implications: The typical respondent was a white, married man in his 60's, educated and currently employed. The strongest predictor partition variable for SWD was the subscale “factors contributing to uncertainty” (adj. p<0.0001) followed by the Trait Anxiety score (adj. p=0.038). The strongest predictive partition for the actual TC was age group (adj. p<0.0001), followed by interacting marital status (adj. p=0.0003), influence of the urologist (adj. p=0.0008) and use of the Internet (adj. p=0.0479). Men with LPC were more satisfied with their TC when they reported fewer uncertainty factors; these are factors mainly relevant to information needed to understand the pros and cons and to make a decision. Consistent with this finding for TC, is the use of the Internet, though this factor interacted with age, the influence of their surgeon and marital status. This study suggests that personally meaningful information communicated by patients and to patients is paramount.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2005
Conference Name:
30th Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Orlando, Florida, 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.titlePredictive Variables in Men's Treatment Choices for Localized Prostate Canceren_GB
dc.contributor.authorBerry, D.en_US
dc.contributor.authorEllis, W.en_US
dc.contributor.authorBlasko, J.en_US
dc.author.detailsD. Berry, University of Washington, Seattle, Washington, USA; W. Ellis; J. Blaskoen_US
dc.identifier.urihttp://hdl.handle.net/10755/165319-
dc.description.abstractMen diagnosed with localized prostate cancer (LPC) often have the opportunity to participate in the treatment choice. Nurses have important roles in assessment of personal factors that influence this decision. Purpose: The purpose of this study was to evaluate relationships between influential personal factors and medical factors on treatment choice and decision-related outcomes. Theoretical/Scientific Framework: The Decision Support Framework (DSF) is organized by determinants of decisions, decision support interventions and evaluation process and outcomes of the decision support. This study represents exploration and analyses of decision determinants that are required prior to intervention development. Methods: Patients in urology and radiation oncology practices in western Washington were invited to participate in this descriptive study by their clinicians during 2001-2003. Men completed questionnaires at home within 2 weeks of the informational clinic visit with the cancer clinician, but prior to treatment. This report presents data from 260 men diagnosed with LPC. Personal factors (influential people and outcomes), treatment choice (TC) and decision-related outcomes were queried along with demographic data Data Analysis: Relationships between all variables and the outcomes, Satisfaction with Decision (SWD) and TC, were explored using exhaustive CHAID (Chi-squared Automatic Interaction Detector) in AnswerTree 3.0 (SPSS, Chicago, IL). CHAID enables exploration of relationships through successive partitioning of variables. Findings and Implications: The typical respondent was a white, married man in his 60's, educated and currently employed. The strongest predictor partition variable for SWD was the subscale &ldquo;factors contributing to uncertainty&rdquo; (adj. p&lt;0.0001) followed by the Trait Anxiety score (adj. p=0.038). The strongest predictive partition for the actual TC was age group (adj. p&lt;0.0001), followed by interacting marital status (adj. p=0.0003), influence of the urologist (adj. p=0.0008) and use of the Internet (adj. p=0.0479). Men with LPC were more satisfied with their TC when they reported fewer uncertainty factors; these are factors mainly relevant to information needed to understand the pros and cons and to make a decision. Consistent with this finding for TC, is the use of the Internet, though this factor interacted with age, the influence of their surgeon and marital status. This study suggests that personally meaningful information communicated by patients and to patients is paramount.en_GB
dc.date.available2011-10-27T12:16:24Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:16:24Z-
dc.conference.date2005en_US
dc.conference.name30th Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationOrlando, Florida, 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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