Literature DB >> 17502448

A review and meta-analysis of prostate cancer utilities.

Karen E Bremner1, Christopher A K Y Chong, George Tomlinson, Shabbir M H Alibhai, Murray D Krahn.   

Abstract

BACKGROUND: Health-related quality of life is a key issue in prostate cancer (PC) management. The authors summarized published utilities for common health-related quality of life outcomes of PC and determined how methodological factors affect them.
METHODS: In their systematic review, the authors identified 23 articles in English, providing 173 unique utilities for PC health states, each obtained from 2 to 422 respondents. Data were pooled using linear mixed-effects modeling with utilities clustered within the study, weighted by the number of respondents divided by the variance of each utility.
RESULTS: In the base model, the estimated utility of the reference case (scenario of a metastatic PC patient with severe sexual symptoms, rated by non-PC patients using time tradeoff) was 0.76. Disease stage, symptom type and severity, source of utility, and scaling method were associated with utility differences of 0.10 to 0.32 (P < 0.05). Utilities from PC patients rating their own health were 0.14 higher than those from the reference case, but utilities from PC patients rating scenarios were lowest. Time tradeoff yielded the highest utilities. Computer administration yielded lower utilities than personal interview (P = 0.02). Neither the scale's high anchor nor study purpose had significant effects on utilities.
CONCLUSIONS: This study provides pooled utility estimates for common PC health states and describes how clinical and methodological factors can significantly affect these values. When possible, utility estimates for a modeling application should be derived similarly. Formal data synthesis methods might be useful to researchers integrating utility data from heterogeneous sources. Further exploration of these methods for this purpose is warranted.

Entities:  

Mesh:

Year:  2007        PMID: 17502448     DOI: 10.1177/0272989X07300604

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  35 in total

1.  Optimization of PSA screening policies: a comparison of the patient and societal perspectives.

Authors:  Jingyu Zhang; Brian T Denton; Hari Balasubramanian; Nilay D Shah; Brant A Inman
Journal:  Med Decis Making       Date:  2011-09-20       Impact factor: 2.583

2.  Simulation optimization of PSA-threshold based prostate cancer screening policies.

Authors:  Daniel J Underwood; Jingyu Zhang; Brian T Denton; Nilay D Shah; Brant A Inman
Journal:  Health Care Manag Sci       Date:  2012-12

3.  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

Review 4.  Sipuleucel-T for the Treatment of Metastatic Hormone-Relapsed Prostate Cancer: A NICE Single Technology Appraisal; An Evidence Review Group Perspective.

Authors:  Emma L Simpson; Sarah Davis; Praveen Thokala; Penny R Breeze; Peter Bryden; Ruth Wong
Journal:  Pharmacoeconomics       Date:  2015-11       Impact factor: 4.981

5.  Evaluating the conduct and application of health utility studies: a review of critical appraisal tools and reporting checklists.

Authors:  Michael J Zoratti; A Simon Pickard; Peep F M Stalmeier; Daniel Ollendorf; Andrew Lloyd; Kelvin K W Chan; Don Husereau; John E Brazier; Murray Krahn; Mitchell Levine; Lehana Thabane; Feng Xie
Journal:  Eur J Health Econ       Date:  2021-04-11

6.  Sourcing quality-of-life weights obtained from previous studies: theory and reality in Korea.

Authors:  SeungJin Bae; Eun Young Bae; Sang Hee Lim
Journal:  Patient       Date:  2014       Impact factor: 3.883

7.  Active Surveillance Versus Watchful Waiting for Localized Prostate Cancer: A Model to Inform Decisions.

Authors:  Stacy Loeb; Qinlian Zhou; Uwe Siebert; Ursula Rochau; Beate Jahn; Nikolai Mühlberger; H Ballentine Carter; Herbert Lepor; R Scott Braithwaite
Journal:  Eur Urol       Date:  2017-08-23       Impact factor: 20.096

8.  Dyadic concordance among prostate cancer patients and their partners and health-related quality of life: does it matter?

Authors:  Erin L Merz; Vanessa L Malcarne; Celine M Ko; Melody Sadler; Lisa Kwack; James W Varni; Georgia Robins Sadler
Journal:  Psychol Health       Date:  2011-07-11

9.  Changes in health utilities and health-related quality of life over 12 months following radical prostatectomy.

Authors:  Jennifer Ku; Murray Krahn; John Trachtenberg; Michael Nesbitt; Robin Kalnin; Gina Lockwood; Shabbir M H Alibhai
Journal:  Can Urol Assoc J       Date:  2009-12       Impact factor: 1.862

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.