Literature DB >> 1484478

Assessing utilities by means of conjoint measurement: an application in medical decision analysis.

A Maas1, L Stalpers.   

Abstract

A method is presented for helping patients who have laryngeal cancer to decide between laryngectomy and radiotherapy in cases where these treatments are deemed medically equivalent. The method is based on the model of additive conjoint measurement. The treatment with the higher utility is determined from pair comparisons among outcomes that vary in quality and quantity of life. Pair comparisons enable a (partial) test of the axioms of additive conjoint measurement. This is in contradistinction to earlier work on decision making for patients with laryngeal cancer, and most of the work in medical decision making in general, in which underlying axioms have almost never been tested. Besides testing the axioms, another important advantage of pair comparisons is that they avoid difficulties with other, risk-based, assessment procedures by presenting only riskless alternatives. Encouraging results have been found in a study among patients.

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Year:  1992        PMID: 1484478     DOI: 10.1177/0272989X9201200408

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


  4 in total

1.  Using conjoint analysis to elicit preferences for health care.

Authors:  M Ryan; S Farrar
Journal:  BMJ       Date:  2000-06-03

2.  Assessing the benefits of health care: how far should we go?

Authors:  M Ryan; P Shackley
Journal:  Qual Health Care       Date:  1995-09

3.  Patient preferences for dry powder inhaler attributes in asthma and chronic obstructive pulmonary disease in France: a discrete choice experiment.

Authors:  Natalia Hawken; Saku Torvinen; Mohamed-Elmoctar Neine; Ikbel Amri; Mondher Toumi; Samuel Aballéa; Adam Plich; Nicolas Roche
Journal:  BMC Pulm Med       Date:  2017-07-06       Impact factor: 3.317

4.  Evaluation of patient preference and willingness to pay for attributes of maintenance medication for chronic obstructive pulmonary disease (COPD).

Authors:  Ariane K Kawata; Leah Kleinman; Gale Harding; Sulabha Ramachandran
Journal:  Patient       Date:  2014       Impact factor: 3.883

  4 in total

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