Literature DB >> 16464513

Using discrete choice experiments to estimate a preference-based measure of outcome--an application to social care for older people.

Mandy Ryan1, Ann Netten, Diane Skåtun, Paul Smith.   

Abstract

This paper reports the results of a study that used discrete choice experiment (DCE) methodology to estimate quality weights for a of social care outcome measure. To reflect different states of need, a five-dimensional profile measure was developed. Experimental design techniques were used to derive a sample of states for which preferences were elicited. The DCE approach was employed to elicit values and regression techniques used to estimate a model that could predict index scores for all 243 possible outcomes. The utility model, estimated on the basis of 297 responses, had good test-retest reliability and converged with preferences elicited from a rating exercise.

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Year:  2006        PMID: 16464513     DOI: 10.1016/j.jhealeco.2006.01.001

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  39 in total

1.  Comparison of health state utility values derived using time trade-off, rank and discrete choice data anchored on the full health-dead scale.

Authors:  John Brazier; Donna Rowen; Yaling Yang; Aki Tsuchiya
Journal:  Eur J Health Econ       Date:  2011-09-30

2.  The impact of social isolation on the health status and health-related quality of life of older people.

Authors:  Annie Hawton; Colin Green; Andy P Dickens; Suzanne H Richards; Rod S Taylor; Rachel Edwards; Colin J Greaves; John L Campbell
Journal:  Qual Life Res       Date:  2010-07-25       Impact factor: 4.147

3.  Using conjoint analysis and choice experiments to estimate QALY values: issues to consider.

Authors:  Terry N Flynn
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

4.  Which preferred providers are really preferred? Effectiveness of insurers' channeling incentives on pharmacy choice.

Authors:  Lieke H H M Boonen; Frederik T Schut; Bas Donkers; Xander Koolman
Journal:  Int J Health Care Finance Econ       Date:  2009-02-26

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

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

6.  Channeling consumers to preferred providers and the impact of status quo bias: does type of provider matter?

Authors:  Lieke H H M Boonen; Bas Donkers; Frederik T Schut
Journal:  Health Serv Res       Date:  2010-10-28       Impact factor: 3.402

7.  Constant-sum paired comparisons for eliciting stated preferences: a tutorial.

Authors:  Chris Skedgel; Dean A Regier
Journal:  Patient       Date:  2015-04       Impact factor: 3.883

Review 8.  Reconceptualising the external validity of discrete choice experiments.

Authors:  Emily Lancsar; Joffre Swait
Journal:  Pharmacoeconomics       Date:  2014-10       Impact factor: 4.981

9.  A comparison of analytic hierarchy process and conjoint analysis methods in assessing treatment alternatives for stroke rehabilitation.

Authors:  Maarten J Ijzerman; Janine A van Til; John F P Bridges
Journal:  Patient       Date:  2012       Impact factor: 3.883

10.  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

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