Literature DB >> 9679990

Using a treatment-tradeoff method to elicit preferences for the treatment of locally advanced non-small-cell lung cancer.

M D Brundage1, J R Davidson, W J Mackillop, D Feldman-Stewart, P Groome.   

Abstract

The study was designed to evaluate a treatment-tradeoff method for its potential in helping lung cancer patients make treatment decisions. A treatment-tradeoff interview was conducted to determine how patients weighed potential survival benefits against the potential toxicities of different treatment options: 1) low-dose versus high-dose radiotherapy, and 2) high-dose radiotherapy versus combination chemo-radiotherapy. Fifty-six patients who had experienced cancer and 20 clinic staff participated; twenty of these participants repeated the interview in an assessment of response consistency. The treatment-tradeoff method proved feasible: all staff and 53 of the 56 patients were able to complete the process. A wide range of threshold scores across participants was observed for both tradeoffs. Sixty percent of the patients would accept the more toxic combination therapy over high-dose radiotherapy if the former offered a 10% absolute improvement in three-year survival. The method also proved reliable: test-retest correlations were high (tau ranged from 0.7 to 0.87 and r from 0.82 to 0.94) and test-retest mean score differences were low (1.3-4.2). The most clinically useful measure of consistency was a "preference consistency" index, which revealed that most patients declared the same treatment preference at test and retest. The authors conclude that, while there is great interindividual variability in willingness to accept aggressive treatments for lung cancer, patients' values can be consistently elicited with the tradeoff method. The method has potential for clinical application in decision making and for health-care policy development.

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Year:  1998        PMID: 9679990     DOI: 10.1177/0272989X9801800302

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


  8 in total

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Authors:  Jack Dowie
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2.  Methodologic evaluation of adaptive conjoint analysis to assess patient preferences: an application in oncology.

Authors:  Arwen H Pieterse; Anne M Stiggelbout; Corrie A M Marijnen
Journal:  Health Expect       Date:  2010-12       Impact factor: 3.377

3.  A decision aid for men with early stage prostate cancer: theoretical basis and a test by surrogate patients.

Authors:  D Feldman-Stewart; M D Brundage; L Van Manen
Journal:  Health Expect       Date:  2001-12       Impact factor: 3.377

4.  A treatment trade-off based decision aid for patients with locally advanced non-small cell lung cancer.

Authors:  Michael D. Brundage; Deb Feldman-Stewart; Peter Dixon; Richard Gregg; Youssef Youssef; Diane Davies; William J. MacKillop
Journal:  Health Expect       Date:  2000-03       Impact factor: 3.377

5.  Characterizing the public's preferential attitudes toward end-of-life care options: a role for the threshold technique?

Authors:  R Trafford Crump; H Llewellyn-Thomas
Journal:  Health Serv Res       Date:  2013-02-28       Impact factor: 3.402

6.  Preference assessment of recruitment into a randomized trial for adolescent idiopathic scoliosis.

Authors:  Lori A Dolan; Vani Sabesan; Stuart L Weinstein; Kevin F Spratt
Journal:  J Bone Joint Surg Am       Date:  2008-12       Impact factor: 5.284

7.  Eliciting utilities using functional methodology: people's disutilities for the adverse outcomes of cardiopulmonary resuscitation.

Authors:  Alexandra Gamelin; María Teresa Muñoz Sastre; Paul Clay Sorum; Etienne Mullet
Journal:  Qual Life Res       Date:  2006-04       Impact factor: 4.147

8.  Health preference research: An overview for medical radiation sciences.

Authors:  Amy Brown; Scott Jones; Jackie Yim
Journal:  J Med Radiat Sci       Date:  2022-04-06
  8 in total

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