Literature DB >> 17244394

Developing attributes and levels for discrete choice experiments using qualitative methods.

Joanna Coast1, Sue Horrocks.   

Abstract

OBJECTIVES: The rigour with which the first two stages of discrete choice experiments (attribute development and the choice of levels of these attributes) are generally conducted is questionable. This paper provides a case study describing how attributes and their levels were developed for a study of access to dermatology specialist services for non-urgent skin conditions.
METHODS: Semi-structured interviews were conducted with 19 dermatology patients with non-urgent skin conditions. Informants were purposively sampled for maximum variation and interviews continued until all attributes were fully and clearly defined. An iterative approach was used with data collection and analysis proceeding concurrently.
RESULTS: The interviews and parallel analysis generated three iterations. The first iteration comprised early exploratory work with expertise and waiting time emerging as important to informants. The second iteration continued to emphasize these attributes, but individualized care and convenience were added. By the end of the third iteration all attributes were fully elaborated.
CONCLUSIONS: Qualitative methods enabled attributes to be defined. There was clear tension between the aim in qualitative work to explore and describe, and the reductiveness needed to encapsulate the different aspects of the service within a minimum number of attributes for use in the discrete choice modelling. Improved reporting of the methods of attribute development in all discrete choice experiments is required.

Entities:  

Mesh:

Year:  2007        PMID: 17244394     DOI: 10.1258/135581907779497602

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  65 in total

1.  Consumer preferences for hearing aid attributes: a comparison of rating and conjoint analysis methods.

Authors:  John F P Bridges; Angela T Lataille; Christine Buttorff; Sharon White; John K Niparko
Journal:  Trends Amplif       Date:  2012-04-17

Review 2.  Discrete choice experiments of pharmacy services: a systematic review.

Authors:  Caroline Vass; Ewan Gray; Katherine Payne
Journal:  Int J Clin Pharm       Date:  2016-06

3.  Focus Groups in Elderly Ophthalmologic Patients: Setting the Stage for Quantitative Preference Elicitation.

Authors:  Marion Danner; Vera Vennedey; Mickaël Hiligsmann; Sascha Fauser; Stephanie Stock
Journal:  Patient       Date:  2016-02       Impact factor: 3.883

4.  The role of monetary and nonmonetary incentives on the choice of practice establishment: a stated preference study of young physicians in Germany.

Authors:  Oliver H Günther; Beate Kürstein; Steffi G Riedel-Heller; Hans-Helmut König
Journal:  Health Serv Res       Date:  2009-09-24       Impact factor: 3.402

5.  Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software.

Authors:  Emily Lancsar; Denzil G Fiebig; Arne Risa Hole
Journal:  Pharmacoeconomics       Date:  2017-07       Impact factor: 4.981

6.  The Best of Both Worlds: An Example Mixed Methods Approach to Understand Men's Preferences for the Treatment of Lower Urinary Tract Symptoms.

Authors:  Divine Ikenwilo; Sebastian Heidenreich; Mandy Ryan; Colette Mankowski; Jameel Nazir; Verity Watson
Journal:  Patient       Date:  2018-02       Impact factor: 3.883

7.  Using Best-Worst Scaling to Understand Patient Priorities: A Case Example of Papanicolaou Tests for Homeless Women.

Authors:  Eve Wittenberg; Monica Bharel; John F P Bridges; Zachary Ward; Linda Weinreb
Journal:  Ann Fam Med       Date:  2016-07       Impact factor: 5.166

8.  Protocol for the Foot in Juvenile Idiopathic Arthritis trial (FiJIA): a randomised controlled trial of an integrated foot care programme for foot problems in JIA.

Authors:  Gordon J Hendry; Deborah E Turner; John McColl; Paula K Lorgelly; Roger D Sturrock; Gordon F Watt; Michael Browne; Janet Gardner-Medwin; Lorraine Friel; Jim Woodburn
Journal:  J Foot Ankle Res       Date:  2009-06-30       Impact factor: 2.303

9.  Estimating preferences for a dermatology consultation using Best-Worst Scaling: comparison of various methods of analysis.

Authors:  Terry N Flynn; Jordan J Louviere; Tim J Peters; Joanna Coast
Journal:  BMC Med Res Methodol       Date:  2008-11-18       Impact factor: 4.615

10.  A review of the application and contribution of discrete choice experiments to inform human resources policy interventions.

Authors:  Mylene Lagarde; Duane Blaauw
Journal:  Hum Resour Health       Date:  2009-07-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.