Literature DB >> 12558704

Are health states 'timeless'? A case study of an acute condition: post-chemotherapy nausea and vomiting.

Duska M Franic1, Dev S Pathak, Amiram Gafni.   

Abstract

RATIONALE, AIMS AND
OBJECTIVES: The objective was to test whether individuals' responses to standard gamble (SG) and visual analogue scale (VAS) questions do not depend on the time horizon of the health scenario presented.
METHODS: Face-to-face interviews were conducted in a convenience sample of 18 women aged 22-50 years with no history of breast cancer or cancer requiring chemotherapy. Data were collected from March 2000 to June 2000 at a university in the Midwest of the United States of America. Preference weights were estimated using SG top-down titration method and VAS scaled from zero (death) to one (perfect health). Subjects were asked to rate their preferences if faced with two scenarios: post-chemotherapy nausea and vomiting (PCNV) occurring for 3 days (scenario 1), and PCNV lasting for the rest of their lives (scenario 2). Three PCNV health states of varying severity were tested: complete alleviation, partial alleviation, and no alleviation.
RESULTS: Paired-t-test analysis showed statistically significantly lower preference weights (P < 0.05) when the health state was for the rest of the respondent's life vs. 3 days. Mean SG weights for scenario 1 vs. scenario 2 were: 0.968 vs. 0.927 (complete alleviation), 0.942 vs. 0.810 (partial alleviation) and 0.866 vs. 0.644 (no alleviation). Mean VAS weights for scenario 1 vs. scenario 2 were: 0.741 vs. 0.676 (complete alleviation), 0.490 vs. 0.307 (partial alleviation) and 0.276 vs. 0.136 (no alleviation). DISCUSSION AND
CONCLUSIONS: For the majority of respondents the utility independence assumption for SG and VAS did not hold. Similar to Bala et al., the results of this study indicated that preference weights as measured by SG and VAS techniques were not 'timeless'. Regardless of the preference measure used, both SG and VAS yielded higher scores when PCNV lasted for a shorter period of time.

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Year:  2003        PMID: 12558704     DOI: 10.1046/j.1365-2753.2003.00381.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  4 in total

1.  Empirical validation of patient versus population preferences in calculating QALYs.

Authors:  Eva-Julia Weyler; Afschin Gandjour
Journal:  Health Serv Res       Date:  2011-04-21       Impact factor: 3.402

2.  Can differences in breast cancer utilities explain disparities in breast cancer care?

Authors:  Mark D Schleinitz; Dina DePalo; Jeffrey Blume; Michael Stein
Journal:  J Gen Intern Med       Date:  2006-09-01       Impact factor: 5.128

Review 3.  A systematic review of utility values for chemotherapy-related adverse events.

Authors:  Fatiha H Shabaruddin; Li-Chia Chen; Rachel A Elliott; Katherine Payne
Journal:  Pharmacoeconomics       Date:  2013-04       Impact factor: 4.981

4.  The duration effect: a link between TTO and VAS values.

Authors:  Benjamin M Craig
Journal:  Health Econ       Date:  2009-02       Impact factor: 3.046

  4 in total

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