PURPOSE: To measure quality of life (QOL) and utilities for prostate cancer (PC) patients and determine their predictors. METHODS: A population-based, community-dwelling, geographically diverse sample of long-term PC survivors in Ontario, Canada, was identified from the Ontario Cancer Registry and contacted through their referring physician. Consenting patients completed questionnaires by mail: Health Utilities Index (HUI 2/3), Patient Oriented Prostate Utility Scale PORPUS-U (utility), PORPUS-P (health profile), Functional Assessment of Cancer Therapy-Prostate (FACT-P), and Prostate Cancer Index (PCI). Clinical data were obtained from chart reviews. Regression models determined the effects of a series of variables on QOL and utility. RESULTS: We received questionnaires and reviewed charts for 585 patients (mean age 72.6, 2-13 years postdiagnosis). Mean utility scores were as follows: PORPUS-U = 0.92, HUI2 = 0.85, and HUI3 = 0.78. Mean health profile scores were as follows: PORPUS-P = 71.7, PCI sexual, urinary, and bowel function = 23.7, 79.1, and 84.6, respectively (0 = worst, 100 = best), and FACT-P = 125.1 (0 = worst, 156 = best). In multiple regression analyses, comorbidity and PCI urinary, sexual, and bowel function were significant predictors of other QOL measures. With all variables, 32-50 % of the variance in utilities was explained. CONCLUSIONS: Many variables affect global QOL of PC survivors; only prostate symptoms and comorbidity have independent effects. Our model allows estimation of the effects of multiple factors on utilities. These utilities for long-term outcomes of PC and its treatment are valuable for decision/cost-effectiveness models of PC treatment.
PURPOSE: To measure quality of life (QOL) and utilities for prostate cancer (PC) patients and determine their predictors. METHODS: A population-based, community-dwelling, geographically diverse sample of long-term PC survivors in Ontario, Canada, was identified from the Ontario Cancer Registry and contacted through their referring physician. Consenting patients completed questionnaires by mail: Health Utilities Index (HUI 2/3), Patient Oriented Prostate Utility Scale PORPUS-U (utility), PORPUS-P (health profile), Functional Assessment of Cancer Therapy-Prostate (FACT-P), and Prostate Cancer Index (PCI). Clinical data were obtained from chart reviews. Regression models determined the effects of a series of variables on QOL and utility. RESULTS: We received questionnaires and reviewed charts for 585 patients (mean age 72.6, 2-13 years postdiagnosis). Mean utility scores were as follows: PORPUS-U = 0.92, HUI2 = 0.85, and HUI3 = 0.78. Mean health profile scores were as follows: PORPUS-P = 71.7, PCI sexual, urinary, and bowel function = 23.7, 79.1, and 84.6, respectively (0 = worst, 100 = best), and FACT-P = 125.1 (0 = worst, 156 = best). In multiple regression analyses, comorbidity and PCI urinary, sexual, and bowel function were significant predictors of other QOL measures. With all variables, 32-50 % of the variance in utilities was explained. CONCLUSIONS: Many variables affect global QOL of PC survivors; only prostate symptoms and comorbidity have independent effects. Our model allows estimation of the effects of multiple factors on utilities. These utilities for long-term outcomes of PC and its treatment are valuable for decision/cost-effectiveness models of PC treatment.
Authors: Murray Krahn; Karen E Bremner; George Tomlinson; Paul Ritvo; Jane Irvine; Gary Naglie Journal: Qual Life Res Date: 2006-11-08 Impact factor: 4.147
Authors: James A Talcott; Judithy Manola; Jack A Clark; Irving Kaplan; Clair J Beard; Sonya P Mitchell; Ronald C Chen; Michael P O'Leary; Philip W Kantoff; Anthony V D'Amico Journal: J Clin Oncol Date: 2003-11-01 Impact factor: 44.544
Authors: Claire de Oliveira; Karen E Bremner; Andy Ni; Shabbir M H Alibhai; Audrey Laporte; Murray D Krahn Journal: J Cancer Surviv Date: 2013-08-23 Impact factor: 4.442
Authors: Nikolai Mühlberger; Kristijan Boskovic; Murray D Krahn; Karen E Bremner; Willi Oberaigner; Helmut Klocker; Wolfgang Horninger; Gaby Sroczynski; Uwe Siebert Journal: BMC Public Health Date: 2017-06-26 Impact factor: 3.295