Literature DB >> 10815360

A comparison of standard gamble, time trade-off, and adjusted time trade-off scores.

A J Martin1, P P Glasziou, R J Simes, T Lumley.   

Abstract

OBJECTIVE: To adjust patients' time trade-off (TTO) scores using information on their utility functions for survival time to derive a measure of health state utility equivalent to the standard gamble (SG).
METHODS: A sample of 199 cardiovascular patients were asked three TTO and SG questions (to assess their own health state), and three certainty equivalent questions (to assess their utility function for survival time) in an interview.
RESULTS: Patient's utility functions for time were increasingly concave, but being unable to model this successfully, a constant function with an averaged level of concavity was used. The raw TTO scores were significantly higher than SG scores, while the adjusted TTO scores were equivalent to the SG.
CONCLUSIONS: Raw time trade-off scores will give biased estimates of health state utility when patients' utility functions for time are not linear, but these can be adjusted to yield true utilities. The constant proportional risk-posture assumption of the conventional QALY model, on which previous attempts to adjust time trade-offs have been based, was not supported by the data.

Entities:  

Mesh:

Year:  2000        PMID: 10815360     DOI: 10.1017/s0266462300161124

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  15 in total

1.  Preoperative risk assessment for bleeding and thromboembolism.

Authors:  Donald M Arnold; Julia Anderson; Clive Kearon
Journal:  BMJ       Date:  2009-09-03

2.  Feasibility, comparability, and reliability of the standard gamble compared with the rating scale and time trade-off techniques in Korean population.

Authors:  Seon-Ha Kim; Sang-Il Lee; Min-Woo Jo
Journal:  Qual Life Res       Date:  2017-08-11       Impact factor: 4.147

3.  The way that you do it? An elaborate test of procedural invariance of TTO, using a choice-based design.

Authors:  Arthur E Attema; Werner B F Brouwer
Journal:  Eur J Health Econ       Date:  2011-05-15

4.  Developing an Atrial Fibrillation Guideline Support Tool (AFGuST) for shared decision making.

Authors:  Mark H Eckman; Ruth E Wise; Katherine Naylor; Lora Arduser; Gregory Y H Lip; Brett Kissela; Matthew Flaherty; Dawn Kleindorfer; Faisal Khan; Daniel P Schauer; John Kues; Alexandru Costea
Journal:  Curr Med Res Opin       Date:  2015-03-13       Impact factor: 2.580

5.  On the (not so) constant proportional trade-off in TTO.

Authors:  Arthur E Attema; Werner B F Brouwer
Journal:  Qual Life Res       Date:  2010-02-12       Impact factor: 4.147

6.  Constantly proving the opposite? A test of CPTO using a broad time horizon and correcting for discounting.

Authors:  Arthur E Attema; Werner B F Brouwer
Journal:  Qual Life Res       Date:  2011-04-21       Impact factor: 4.147

7.  Preference values associated with stage III colon cancer and adjuvant chemotherapy.

Authors:  Jennie H Best; Louis P Garrison; William Hollingworth; Scott D Ramsey; David L Veenstra
Journal:  Qual Life Res       Date:  2010-04       Impact factor: 4.147

8.  Trading people versus trading time: what is the difference?

Authors:  Laura J Damschroder; Todd R Roberts; Christine C Goldstein; Molly E Miklosovic; Peter A Ubel
Journal:  Popul Health Metr       Date:  2005-11-10

9.  Time trade-off: one methodology, different methods.

Authors:  Arthur E Attema; Yvette Edelaar-Peeters; Matthijs M Versteegh; Elly A Stolk
Journal:  Eur J Health Econ       Date:  2013-07

10.  Reconsidering the use of rankings in the valuation of health states: a model for estimating cardinal values from ordinal data.

Authors:  Joshua A Salomon
Journal:  Popul Health Metr       Date:  2003-12-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.