Literature DB >> 27122445

Discrete Choice Experiment Response Rates: A Meta-analysis.

Verity Watson1, Frauke Becker2, Esther de Bekker-Grob3.   

Abstract

This paper uses meta-regression analysis to test how aspects of discrete choice experiment (DCE) study design influence survey response rates. DCEs are a survey-based method used to elicit preferences for health and health care and are prone to survey errors of coverage, sampling, non-response and measurement. However, research on DCE response rates is lacking. Our analysis is motivated by a social exchange theory of survey response. We find that DCE response rates are related to the survey's cognitive burden and the relevance to the surveyed population.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  discrete choice experiments; meta regression analysis; response rates; survey design

Mesh:

Year:  2016        PMID: 27122445     DOI: 10.1002/hec.3354

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


  18 in total

1.  Prioritizing outcome preferences in patients with ocular hypertension and open-angle glaucoma using best-worst scaling.

Authors:  Jimmy T Le; Amanda K Bicket; Ellen M Janssen; Davinder Grover; Sunita Radhakrishnan; Steven Vold; Michelle E Tarver; Malvina Eydelman; John F P Bridges; Tianjing Li
Journal:  Ophthalmol Glaucoma       Date:  2019-09-03

2.  Identifying the impact of social influences in health-related discrete choice experiments.

Authors:  Esther W de Bekker-Grob; Kirsten Howard; Joffre Swait
Journal:  PLoS One       Date:  2022-10-19       Impact factor: 3.752

3.  How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity.

Authors:  Matthew Quaife; Fern Terris-Prestholt; Gian Luca Di Tanna; Peter Vickerman
Journal:  Eur J Health Econ       Date:  2018-01-29

4.  What are colorectal cancer survivors' preferences for dietary advice? A best-worst discrete choice experiment.

Authors:  Stuart J Wright; Debbie Gibson; Martin Eden; Simon Lal; Chris Todd; Andy Ness; Sorrel Burden
Journal:  J Cancer Surviv       Date:  2017-04-20       Impact factor: 4.442

5.  How psychological distance of a study sample in discrete choice experiments affects preference measurement: a colorectal cancer screening case study.

Authors:  Jorien Veldwijk; Catharina G M Groothuis-Oudshoorn; Ulrik Kihlbom; Sophie Langenskiöld; Evelien Dekker; Frank G J Kallenberg; G Ardine de Wit; Mattijs S Lambooij
Journal:  Patient Prefer Adherence       Date:  2019-02-12       Impact factor: 2.711

6.  Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments.

Authors:  Marcel F Jonker; Bas Donkers; Esther de Bekker-Grob; Elly A Stolk
Journal:  Health Econ       Date:  2018-12-18       Impact factor: 3.046

7.  Women's preferences for alternative financial incentive schemes for breastfeeding: A discrete choice experiment.

Authors:  Frauke Becker; Nana Anokye; Esther W de Bekker-Grob; Ailish Higgins; Clare Relton; Mark Strong; Julia Fox-Rushby
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

8.  Financial incentives to discontinue long-term benzodiazepine use: a discrete choice experiment investigating patient preferences and willingness to participate.

Authors:  Joachim Marti; Marcus Bachhuber; Jordyn Feingold; David Meads; Michael Richards; Sean Hennessy
Journal:  BMJ Open       Date:  2017-10-06       Impact factor: 2.692

9.  Understanding Midwives' Preferences for Providing Information About Newborn Bloodspot Screening.

Authors:  Stuart James Wright; Fiona Ulph; Tina Lavender; Nimarta Dharni; Katherine Payne
Journal:  MDM Policy Pract       Date:  2018-01-18

10.  Developing patient-centred, feasible alternative care for adult emergency department users with epilepsy: protocol for the mixed-methods observational 'Collaborate' project.

Authors:  Adam J Noble; Amy Mathieson; Leone Ridsdale; E A Holmes; Myfanwy Morgan; Alison McKinlay; Jon Mark Dickson; Mike Jackson; Dyfrig A Hughes; Steve Goodacre; Anthony G Marson
Journal:  BMJ Open       Date:  2019-11-02       Impact factor: 2.692

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