A multi-attribute model of prostate cancer patient's preferences for health states.
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| Title: | A multi-attribute model of prostate cancer patient's preferences for health states. |
|---|---|
| Authors: | Chapman, Gretchen B., Elstein, Arthur S., Kuzel, Timothy M., Nadler, Robert B., Sharifi, Roohollah, Bennett, Charles L., Chapman, G B (AUTHOR), Elstein, A S (AUTHOR), Kuzel, T M (AUTHOR), Nadler, R B (AUTHOR), Sharifi, R (AUTHOR), Bennett, C L (AUTHOR) |
| Source: | Quality of Life Research. May1999, Vol. 8 Issue 3, p171-180. 10p. |
| Subjects: | Health status indicators, Patients, Prostate cancer |
| Geographic Terms: | Chicago (Ill.), Illinois, United States |
| Abstract: | Multi-attribute utility theory (MAUT) provides a way to model decisions involving trade-offs among different aspects or goals of a problem. We used MAUT to model prostate cancer patients' preferences for their own health state and we compared this model to patients' global judgments of health state utility. 57 patients with prostate cancer (mean age = 70) at two Chicago Veterans Administration health clinics were asked to evaluate health states described in terms of five health attributes affected by prostate cancer: pain, mood, sexual function, bladder and bowel function, and fatigue and energy. Each attribute had three levels that were used to form three clinically realistic health state descriptions (A = high, B = moderate, C = low). A fourth personalized health description (P) matched the patient's current health. We first measured patients' preferences using time trade-off (TTO) judgments for the three health states (A, B, and C) and for their own current health state (P). The TTO for the patient's own health state (P) was standardized by comparing it to TTO judgments for states A and C. We next constructed a multi-attribute model using the relative importance of the five attributes. The MAU scores were moderately correlated with the TTO preference judgments for the personalized state (Pearson r = 0.38, N = 57, p < 0.01). Thus, patients' preference judgments are moderately consistent and systematic. MAUT appears to be a potentially feasible method for evaluating preferences of prostate cancer patients and may prove helpful in assisting with patient decision making. [ABSTRACT FROM AUTHOR] |
| Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 11501190 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A multi-attribute model of prostate cancer patient's preferences for health states. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chapman%2C+Gretchen+B%2E%22">Chapman, Gretchen B.</searchLink><br /><searchLink fieldCode="AR" term="%22Elstein%2C+Arthur+S%2E%22">Elstein, Arthur S.</searchLink><br /><searchLink fieldCode="AR" term="%22Kuzel%2C+Timothy+M%2E%22">Kuzel, Timothy M.</searchLink><br /><searchLink fieldCode="AR" term="%22Nadler%2C+Robert+B%2E%22">Nadler, Robert B.</searchLink><br /><searchLink fieldCode="AR" term="%22Sharifi%2C+Roohollah%22">Sharifi, Roohollah</searchLink><br /><searchLink fieldCode="AR" term="%22Bennett%2C+Charles+L%2E%22">Bennett, Charles L.</searchLink><br /><searchLink fieldCode="AR" term="%22Chapman%2C+G+B%22">Chapman, G B</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elstein%2C+A+S%22">Elstein, A S</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kuzel%2C+T+M%22">Kuzel, T M</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nadler%2C+R+B%22">Nadler, R B</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharifi%2C+R%22">Sharifi, R</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bennett%2C+C+L%22">Bennett, C L</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+of+Life+Research%22">Quality of Life Research</searchLink>. May1999, Vol. 8 Issue 3, p171-180. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Health+status+indicators%22">Health status indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Patients%22">Patients</searchLink><br /><searchLink fieldCode="DE" term="%22Prostate+cancer%22">Prostate cancer</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Chicago+%28Ill%2E%29%22">Chicago (Ill.)</searchLink><br /><searchLink fieldCode="DE" term="%22Illinois%22">Illinois</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Multi-attribute utility theory (MAUT) provides a way to model decisions involving trade-offs among different aspects or goals of a problem. We used MAUT to model prostate cancer patients' preferences for their own health state and we compared this model to patients' global judgments of health state utility. 57 patients with prostate cancer (mean age = 70) at two Chicago Veterans Administration health clinics were asked to evaluate health states described in terms of five health attributes affected by prostate cancer: pain, mood, sexual function, bladder and bowel function, and fatigue and energy. Each attribute had three levels that were used to form three clinically realistic health state descriptions (A = high, B = moderate, C = low). A fourth personalized health description (P) matched the patient's current health. We first measured patients' preferences using time trade-off (TTO) judgments for the three health states (A, B, and C) and for their own current health state (P). The TTO for the patient's own health state (P) was standardized by comparing it to TTO judgments for states A and C. We next constructed a multi-attribute model using the relative importance of the five attributes. The MAU scores were moderately correlated with the TTO preference judgments for the personalized state (Pearson r = 0.38, N = 57, p < 0.01). Thus, patients' preference judgments are moderately consistent and systematic. MAUT appears to be a potentially feasible method for evaluating preferences of prostate cancer patients and may prove helpful in assisting with patient decision making. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=11501190 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1023/A:1008850610569 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 171 Subjects: – SubjectFull: Health status indicators Type: general – SubjectFull: Patients Type: general – SubjectFull: Prostate cancer Type: general – SubjectFull: Chicago (Ill.) Type: general – SubjectFull: Illinois Type: general – SubjectFull: United States Type: general Titles: – TitleFull: A multi-attribute model of prostate cancer patient's preferences for health states. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chapman, Gretchen B. – PersonEntity: Name: NameFull: Elstein, Arthur S. – PersonEntity: Name: NameFull: Kuzel, Timothy M. – PersonEntity: Name: NameFull: Nadler, Robert B. – PersonEntity: Name: NameFull: Sharifi, Roohollah – PersonEntity: Name: NameFull: Bennett, Charles L. – PersonEntity: Name: NameFull: Chapman, G B – PersonEntity: Name: NameFull: Elstein, A S – PersonEntity: Name: NameFull: Kuzel, T M – PersonEntity: Name: NameFull: Nadler, R B – PersonEntity: Name: NameFull: Sharifi, R – PersonEntity: Name: NameFull: Bennett, C L IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May1999 Type: published Y: 1999 Identifiers: – Type: issn-print Value: 09629343 Numbering: – Type: volume Value: 8 – Type: issue Value: 3 Titles: – TitleFull: Quality of Life Research Type: main |
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