Literature DB >> 11475386

Stability of patients' preferences for chemotherapy: the impact of experience.

S J Jansen1, J Kievit, M A Nooij, A M Stiggelbout.   

Abstract

BACKGROUND: Studies have shown that utilities for a particular treatment, elicited by means of a hypothetical treatment scenario, may remain stable within the same patients when examined before, during, and after experiencing that treatment (within-group stability). However, other studies have found that utilities for a particular health state may differ between patient groups who are and who are not experiencing the particular health state (between-group differences).
OBJECTIVE: The authors evaluated this apparent contradiction in the case of adjuvant chemotherapy for breast cancer. A related purpose was to examine whether a chemotherapy scenario adequately reflects the patients' own experiences with chemotherapy.
METHOD: Forty-three patients with early-stage breast cancer evaluated their actually experienced health state and a chemotherapy scenario before, during, and after undergoing adjuvant chemotherapy (chemotherapy group). A control group of 51 patients for whom chemotherapy was not part of the treatment plan was interviewed at similar points in time. Utilities were elicited by means of a visual analog scale (VAS), a chained time trade-off (TTO), and a chained standard gamble (SG).
RESULTS: The utilities for the chemotherapy scenario remained relatively stable over time in the 2 patient groups. Furthermore, the chemotherapy scenario was evaluated more positively by patients in the chemotherapy group than by control patients (e.g., utilities before chemotherapy: VAS 0.69 vs. 0.50, TTO 0.88 vs. 0.50, SG 0.92 vs. 0.58, all Ps < 0.01). Finally, patients in the chemotherapy group evaluated their actually experienced health states during chemotherapy higher than the chemotherapy scenario that was assessed at the same time (VAS 0.79 vs. 0.69, TTO 0.93 vs. 0.87, SG 0.97 vs. 0.96, all Ps < 0.05).
CONCLUSIONS: Both within-group stability and between-group differences were found. A possible explanation for within-group stability may be that the chemotherapy scenario did not fully correspond to the patients' actual experiences with chemotherapy ("noncorresponding description"). Therefore, preferences did not change even when the patients' own clinical health status had changed. The between-group differences may be explained by "anticipated adaptation." Both explanations may work together to explain why utilities remain stable within the same patients but differ between different patient groups.

Entities:  

Mesh:

Year:  2001        PMID: 11475386     DOI: 10.1177/0272989X0102100405

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


  25 in total

1.  Improving the sensitivity of the time trade-off method: results of an experiment using chained TTO questions.

Authors:  G C Morrison; A Neilson; M Malek
Journal:  Health Care Manag Sci       Date:  2002-02

2.  Understanding differences between self-ratings and population ratings for health in the EuroQOL.

Authors:  Ralph P Insinga; Dennis G Fryback
Journal:  Qual Life Res       Date:  2003-09       Impact factor: 4.147

3.  The stability of utility scores: test-retest reliability and the interpretation of utility scores in elective total hip arthroplasty.

Authors:  D Feeny; C M Blanchard; J L Mahon; R Bourne; C Rorabeck; L Stitt; S Webster-Bogaert
Journal:  Qual Life Res       Date:  2004-02       Impact factor: 4.147

4.  Chained time trade-off and standard gamble methods. Applications in oesophageal cancer.

Authors:  Paul McNamee; Sharon Glendinning; Jonathan Shenfine; Nick Steen; S Michael Griffin; John Bond
Journal:  Eur J Health Econ       Date:  2004-02

5.  Shared decision-making and evidence-based practice.

Authors:  Jared R Adams; Robert E Drake
Journal:  Community Ment Health J       Date:  2006-02

6.  Can urban methadone patients complete health utility assessments?

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7.  The effect of diagnosis with HIV infection on health-related quality of Life.

Authors:  Shyoko Honiden; Vandana Sundaram; Robert F Nease; Mark Holodniy; Laura C Lazzeroni; Andrew Zolopa; Douglas K Owens
Journal:  Qual Life Res       Date:  2006-02       Impact factor: 4.147

8.  Predictors of risk tolerance among oral surgery patients.

Authors:  Kathryn A Atchison; Claudia Der-Martirosian; Thomas R Belin; Edward E Black; Melanie W Gironda
Journal:  J Oral Maxillofac Surg       Date:  2010-08-03       Impact factor: 1.895

9.  Stability of preferences for end-of-life treatment after 3 years of follow-up: the Johns Hopkins Precursors Study.

Authors:  Marsha N Wittink; Knashawn H Morales; Lucy A Meoni; Daniel E Ford; Nae-Yuh Wang; Michael J Klag; Joseph J Gallo
Journal:  Arch Intern Med       Date:  2008-10-27

10.  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

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