Literature DB >> 19911445

Using conjoint analysis to estimate healthy-year equivalents for acute conditions: an application to vasomotor symptoms.

F Reed Johnson1, A Brett Hauber, Semra Ozdemir.   

Abstract

OBJECTIVE: Conventional standard gamble and time trade-off methods may be inappropriate for eliciting preferences for some health states because both require subjects to make trade-offs between a morbid health state and death. Thus, the objective of this study is to demonstrate the use of conjoint analysis to obtain time trade-off estimates of healthy-year equivalents (HYEs) for clinically relevant durations and severities of acute, self-limiting, or nonfatal conditions such as vasomotor symptoms.
METHODS: A self-administered, web-enabled, graded-pairs conjoint-analysis survey was developed to elicit women's preferences for reducing the frequency and severity of vasomotor symptoms (daytime hot flushes and night sweats). Observed trade-offs between symptom duration and symptom relief were used to calculate HYEs for different severities and durations of vasomotor symptoms.
RESULTS: A total of 523 women with a mean age of 52 years completed the survey. For these women, an improvement from severe to moderate vasomotor symptoms yields a gain of 4.44 HYEs, and an improvement from moderate to mild vasomotor symptoms over 1 year yields a gain of 4.62 HYEs over a period of 7 years. HYE gains for symptom relief are larger for younger women than for older women.
CONCLUSIONS: Conjoint analysis is a feasible method for estimating HYEs for acute, self-limiting, or nonfatal conditions. This approach may provide an alternative utility-elicitation method when conventional standard gamble and time trade-off methods are inappropriate to the decision context.

Entities:  

Mesh:

Year:  2009        PMID: 19911445     DOI: 10.1111/j.1524-4733.2008.00391.x

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  9 in total

1.  Regulatory benefit-risk assessment and comparative effectiveness research: strangers, bedfellows or strange bedfellows?

Authors:  Louis P Garrison
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

2.  Analysis of patients' preferences: direct assessment and discrete-choice experiment in therapy of adults with attention-deficit hyperactivity disorder.

Authors:  Axel C Mühlbacher; Matthias Nübling
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

3.  Chronic pain patients' treatment preferences: a discrete-choice experiment.

Authors:  Axel C Mühlbacher; Uwe Junker; Christin Juhnke; Edgar Stemmler; Thomas Kohlmann; Friedhelm Leverkus; Matthias Nübling
Journal:  Eur J Health Econ       Date:  2014-06-21

4.  Capturing disutility from waiting time.

Authors:  Afschin Gandjour
Journal:  Pharmacoeconomics       Date:  2014-04       Impact factor: 4.981

5.  Health-related quality of life anticipated with different management strategies for febrile neutropenia in adult cancer patients.

Authors:  O Teuffel; S Cheng; M C Ethier; C Diorio; J Martino; C Mayo; R Wing; L Sung; S M H Alibhai
Journal:  Support Care Cancer       Date:  2012-02-17       Impact factor: 3.603

6.  Patient preferences in advanced or recurrent ovarian cancer.

Authors:  Laura J Havrilesky; Angeles Alvarez Secord; Jessie A Ehrisman; Andrew Berchuck; Fidel A Valea; Paula S Lee; Stephanie L Gaillard; Greg P Samsa; David Cella; Kevin P Weinfurt; Amy P Abernethy; Shelby D Reed
Journal:  Cancer       Date:  2014-08-04       Impact factor: 6.860

Review 7.  Discrete choice experiments in health economics: a review of the literature.

Authors:  Michael D Clark; Domino Determann; Stavros Petrou; Domenico Moro; Esther W de Bekker-Grob
Journal:  Pharmacoeconomics       Date:  2014-09       Impact factor: 4.981

8.  Analysis of Patient Preferences in Lung Cancer - Estimating Acceptable Tradeoffs Between Treatment Benefit and Side Effects.

Authors:  Ellen M Janssen; Sydney M Dy; Alexa S Meara; Peter J Kneuertz; Carolyn J Presley; John F P Bridges
Journal:  Patient Prefer Adherence       Date:  2020-06-03       Impact factor: 2.711

9.  Eliciting health state utilities for Dupuytren's contracture using a discrete choice experiment.

Authors:  Ning Yan Gu; Marc F Botteman; Robert A Gerber; Xiang Ji; Roelien Postema; Yin Wan; Grzegorz Sianos; Iain Anthony; Joseph C Cappelleri; Piotr Szczypa; Ben van Hout
Journal:  Acta Orthop       Date:  2013-11-29       Impact factor: 3.717

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.