Literature DB >> 11490251

Predictors of utilities for health states in early stage prostate cancer.

C S Saigal1, J Gornbein, R Nease, M S Litwin.   

Abstract

PURPOSE: When faced with treatment choices for early stage prostate cancer, patients must balance the survival benefit of a treatment with its morbidity. Little is known about how patients balance these trade-offs. To further our understanding of patient decision making we assessed patient utilities for prostate cancer treatment related morbidities. We determined whether patient utilities were predicted by sociodemographic characteristics or baseline genitourinary function.
MATERIALS AND METHODS: We evaluated 401 men undergoing prostate needle biopsy for suspicion of prostate cancer at university, Veterans Affairs and public hospitals. Study design included a prospective cross-sectional cohort with correlation and multivariate analysis. Subjects were studied with 2 established health related quality of life instruments. Patient utilities were assessed with an interactive software application.
RESULTS: On multivariate analysis utility for current general health was a significant predictor of utilities for treatment related morbidities. Surprisingly baseline urinary, sexual and bowel function scores did not correlate well with respective utilities for potential incontinence, impotence or radiation proctitis. In other words, men with good and imperfect baseline function were equally willing to risk impairment to preserve life.
CONCLUSIONS: Men who perceived that general health was better appear to place higher value on quantity of life, while those who already are suffering from poor general health place higher value on quality of life. Ethnicity appears to modify some effects of other variables on patient preference. Utility assessment provides a quantitative tool to aid physicians in counseling patients when making treatment decisions for localized prostate cancer.

Entities:  

Mesh:

Year:  2001        PMID: 11490251

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  11 in total

1.  Variations in the quality of care at radical prostatectomy.

Authors:  Quoc-Dien Trinh; Jesse Sammon; Jay Jhaveri; Maxine Sun; Khurshid R Ghani; Jan Schmitges; Wooju Jeong; James O Peabody; Pierre I Karakiewicz; Mani Menon
Journal:  Ther Adv Urol       Date:  2012-04

2.  Marker states and a health state prompt provide modest improvements in the reliability and validity of the standard gamble and rating scale in prostate cancer patients.

Authors:  Karen E Bremner; George Tomlinson; Murray D Krahn
Journal:  Qual Life Res       Date:  2007-10-03       Impact factor: 4.147

3.  Use of forecasted assessment of quality of life to validate time-trade-off utilities and a prostate cancer screening decision-analytic model.

Authors:  Scott B Cantor; Ashish A Deshmukh; Murray D Krahn; Robert J Volk
Journal:  Health Expect       Date:  2013-10-23       Impact factor: 3.377

4.  Association between utility and treatment among patients with prostate cancer.

Authors:  Ravishankar Jayadevappa; J Sanford Schwartz; Sumedha Chhatre; Alan J Wein; S Bruce Malkowicz
Journal:  Qual Life Res       Date:  2010-03-05       Impact factor: 4.147

5.  A reference set of health utilities for long-term survivors of prostate cancer: population-based data from Ontario, Canada.

Authors:  Murray D Krahn; Karen E Bremner; Shabbir M H Alibhai; Andy Ni; George Tomlinson; Audrey Laporte; Gary Naglie
Journal:  Qual Life Res       Date:  2013-04-06       Impact factor: 4.147

6.  Lack of comprehension of common prostate cancer terms in an underserved population.

Authors:  Kerry L Kilbridge; Gertrude Fraser; Murray Krahn; Elizabeth M Nelson; Mark Conaway; Randall Bashore; Andrew Wolf; Michael J Barry; Debra A Gong; Robert F Nease; Alfred F Connors
Journal:  J Clin Oncol       Date:  2009-03-23       Impact factor: 44.544

7.  Survival gains needed to offset persistent adverse treatment effects in localised prostate cancer.

Authors:  M T King; R Viney; D P Smith; I Hossain; D Street; E Savage; S Fowler; M P Berry; M Stockler; P Cozzi; P Stricker; J Ward; B K Armstrong
Journal:  Br J Cancer       Date:  2012-01-24       Impact factor: 7.640

8.  Latent class cluster analysis to understand heterogeneity in prostate cancer treatment utilities.

Authors:  Salimah H Meghani; Christopher S Lee; Alexandra L Hanlon; Deborah W Bruner
Journal:  BMC Med Inform Decis Mak       Date:  2009-11-27       Impact factor: 2.796

9.  Individual differences in the use of the response scale determine valuations of hypothetical health states: an empirical study.

Authors:  Marie-Louise Essink-Bot; Marja C Stuifbergen; Willem-Jan Meerding; Caspar W N Looman; Gouke J Bonsel
Journal:  BMC Health Serv Res       Date:  2007-04-27       Impact factor: 2.655

10.  Patient and physician view on patient information and decision-making in congenital aortic and pulmonary valve surgery.

Authors:  Jonathan R G Etnel; Willem A Helbing; Jolien W Roos-Hesselink; Regina The; Ad J J C Bogers; Johanna J M Takkenberg
Journal:  Open Heart       Date:  2018-11-10
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