Literature DB >> 15067675

Modelling non-demanders in choice experiments.

Mandy Ryan1, Diane Skåtun.   

Abstract

Discrete choice experiments have the advantage that they can study preferences in health care where revealed preference data is not readily available. However, as a substitute for actual observed market led data, the experimental set-up for hypothetical situations must mimic the circumstances under which actual choices are made. One situation that a consumer/patient might face is an opt-out option. They might not choose to accept any of the positive actions available and as such will be a non-demander of the health care on offer. This paper explores issues raised in the modelling of such data within an experiment looking at women's preferences for cervical screening services. Copyright 2003 John Wiley & Sons, Ltd.

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Year:  2004        PMID: 15067675     DOI: 10.1002/hec.821

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  26 in total

1.  Using discrete choice experiments within a cost-benefit analysis framework: some considerations.

Authors:  Emma McIntosh
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

2.  Assessing preferences for improved smoking cessation medications: a discrete choice experiment.

Authors:  Joachim Marti
Journal:  Eur J Health Econ       Date:  2011-06-26

3.  Including Opt-Out Options in Discrete Choice Experiments: Issues to Consider.

Authors:  Danny Campbell; Seda Erdem
Journal:  Patient       Date:  2019-02       Impact factor: 3.883

4.  US valuation of the SF-6D.

Authors:  Benjamin M Craig; A Simon Pickard; Elly Stolk; John E Brazier
Journal:  Med Decis Making       Date:  2013-04-29       Impact factor: 2.583

5.  Quality of life and patient preferences: identification of subgroups of multiple sclerosis patients.

Authors:  Rosalba Rosato; Silvia Testa; Alessandra Oggero; Giorgia Molinengo; Antonio Bertolotto
Journal:  Qual Life Res       Date:  2015-02-26       Impact factor: 4.147

6.  Conducting discrete choice experiments to inform healthcare decision making: a user's guide.

Authors:  Emily Lancsar; Jordan Louviere
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

7.  Applying discrete choice modelling in a priority setting: an investigation of public preferences for primary care models.

Authors:  Chiara Seghieri; Alessandro Mengoni; Sabina Nuti
Journal:  Eur J Health Econ       Date:  2013-11-15

8.  Preferences for oral anticoagulants in atrial fibrillation: a best-best discrete choice experiment.

Authors:  Peter Ghijben; Emily Lancsar; Silva Zavarsek
Journal:  Pharmacoeconomics       Date:  2014-11       Impact factor: 4.981

9.  Return of incidental findings in genomic medicine: measuring what patients value--development of an instrument to measure preferences for information from next-generation testing (IMPRINT).

Authors:  Caroline Savage Bennette; Susan Brown Trinidad; Stephanie M Fullerton; Donald Patrick; Laura Amendola; Wylie Burke; Fuki M Hisama; Gail P Jarvik; Dean A Regier; David L Veenstra
Journal:  Genet Med       Date:  2013-05-30       Impact factor: 8.822

10.  Patient preferences for adherence to treatment for osteoarthritis: the MEdication Decisions in Osteoarthritis Study (MEDOS).

Authors:  Tracey-Lea Laba; Jo-anne Brien; Marlene Fransen; Stephen Jan
Journal:  BMC Musculoskelet Disord       Date:  2013-05-06       Impact factor: 2.362

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