Literature DB >> 25498779

Valuations of genetic test information for treatable conditions: the case of colorectal cancer screening.

Vikram Kilambi1, F Reed Johnson2, Juan Marcos González3, Ateesha F Mohamed4.   

Abstract

BACKGROUND: The value of the information that genetic testing services provide can be questioned for insurance-based health systems. The results of genetic tests oftentimes may not lead to well-defined clinical interventions; however, Lynch syndrome, a genetic mutation for which carriers are at an increased risk for colorectal cancer, can be identified through genetic testing, and meaningful health interventions are available via increased colonoscopic surveillance. Valuations of test information for such conditions ought to account for the full impact of interventions and contingent outcomes.
OBJECTIVES: To conduct a discrete-choice experiment to elicit individuals' preferences for genetic test information.
METHODS: A Web-enabled discrete-choice experiment survey was administered to a representative sample of US residents aged 50 years and older. In addition to specifying expenditures on colonoscopies, respondents were asked to make a series of nine selections between two hypothetical genetic tests or a no-test option under the premise that a relative had Lynch syndrome. The hypothetical genetic tests were defined by the probability of developing colorectal cancer, the probability of a false-negative test result, privacy of the result, and out-of-pocket cost. A model specification identifying necessary interactions was derived from assumptions of risk behavior and the decision context and was estimated using random-parameters logit.
RESULTS: A total of 650 respondents were contacted, and 385 completed the survey. The monetary equivalent of test information was approximately $1800. Expenditures on colonoscopies to reduce mortality risks affected valuations. Respondents with lower income or who reported being employed significantly valued genetic tests more.
CONCLUSION: Genetic testing may confer benefits through the impact of subsequent interventions on private individuals.
Copyright © 2014. Published by Elsevier Inc.

Entities:  

Keywords:  Lynch syndrome; colorectal cancer; discrete choice experiment; genetic testing

Mesh:

Year:  2014        PMID: 25498779      PMCID: PMC4492688          DOI: 10.1016/j.jval.2014.09.001

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


  34 in total

1.  Genetic testing for cancer risk: a population survey on attitudes and intention.

Authors:  Cornelia M Ulrich; Alan R Kristal; Emily White; Julie R Hunt; Sharon J Durfy; John D Potter
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2.  Assessment of genetic testing and related counseling services: current research and future directions.

Authors:  Catharine Wang; Richard Gonzalez; S D Sofia D Merajver
Journal:  Soc Sci Med       Date:  2004-04       Impact factor: 4.634

Review 3.  Stated preference methods in health care evaluation: an emerging methodological paradigm in health economics.

Authors:  John F P Bridges
Journal:  Appl Health Econ Health Policy       Date:  2003       Impact factor: 2.561

4.  Deriving welfare measures from discrete choice experiments: inconsistency between current methods and random utility and welfare theory.

Authors:  Emily Lancsar; Elizabeth Savage
Journal:  Health Econ       Date:  2004-09       Impact factor: 3.046

5.  Update: NCCN colon cancer Clinical Practice Guidelines.

Authors:  Paul Engstrom
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6.  The association between knowledge and attitudes about genetic testing for cancer risk in the United States.

Authors:  Abigail Rose; Nikki Peters; Judy A Shea; Katrina Armstrong
Journal:  J Health Commun       Date:  2005-06

7.  Screening for the Lynch syndrome (hereditary nonpolyposis colorectal cancer).

Authors:  Heather Hampel; Wendy L Frankel; Edward Martin; Mark Arnold; Karamjit Khanduja; Philip Kuebler; Hidewaki Nakagawa; Kaisa Sotamaa; Thomas W Prior; Judith Westman; Jenny Panescu; Dan Fix; Janet Lockman; Ilene Comeras; Albert de la Chapelle
Journal:  N Engl J Med       Date:  2005-05-05       Impact factor: 91.245

8.  Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force.

Authors:  F Reed Johnson; Emily Lancsar; Deborah Marshall; Vikram Kilambi; Axel Mühlbacher; Dean A Regier; Brian W Bresnahan; Barbara Kanninen; John F P Bridges
Journal:  Value Health       Date:  2013 Jan-Feb       Impact factor: 5.725

9.  American Society of Clinical Oncology policy statement update: genetic testing for cancer susceptibility.

Authors: 
Journal:  J Clin Oncol       Date:  2003-04-11       Impact factor: 44.544

10.  Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis.

Authors:  H F Vasen; J T Wijnen; F H Menko; J H Kleibeuker; B G Taal; G Griffioen; F M Nagengast; E H Meijers-Heijboer; L Bertario; L Varesco; M L Bisgaard; J Mohr; R Fodde; P M Khan
Journal:  Gastroenterology       Date:  1996-04       Impact factor: 22.682

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  3 in total

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2.  Scenario drafting for early technology assessment of next generation sequencing in clinical oncology.

Authors:  S E P Joosten; V P Retèl; V M H Coupé; M M van den Heuvel; W H van Harten
Journal:  BMC Cancer       Date:  2016-02-06       Impact factor: 4.430

3.  Disentangling the determinants of interest and willingness-to-pay for breast cancer susceptibility testing in the general population: a cross-sectional Web-based survey among women of Québec (Canada).

Authors:  Jolyane Blouin-Bougie; Nabil Amara; Karine Bouchard; Jacques Simard; Michel Dorval
Journal:  BMJ Open       Date:  2018-02-27       Impact factor: 2.692

  3 in total

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