Literature DB >> 31486021

Opening the 'Black Box': An Overview of Methods to Investigate the Decision-Making Process in Choice-Based Surveys.

Dan Rigby1, Caroline Vass2, Katherine Payne2.   

Abstract

The desire to understand the preferences of patients, healthcare professionals and the public continues to grow. Health valuation studies, often in the form of discrete choice experiments, a choice based survey approach, proliferate as a result. A variety of methods of pre-choice process analysis have been developed to investigate how and why people make their decisions in such experiments and surveys. These techniques have been developed to investigate how people acquire and process information and make choices. These techniques offer the potential to test and improve theories of choice and/or associated empirical models. This paper provides an overview of such methods, with the focus on their use in stated choice-based healthcare studies. The methods reviewed are eye tracking, mouse tracing, brain imaging, deliberation time analysis and think aloud. For each method, we summarise the rationale, implementation, type of results generated and associated challenges, along with a discussion of possible future developments.

Entities:  

Year:  2020        PMID: 31486021     DOI: 10.1007/s40271-019-00385-8

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  39 in total

1.  How the brain integrates costs and benefits during decision making.

Authors:  Ulrike Basten; Guido Biele; Hauke R Heekeren; Christian J Fiebach
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-30       Impact factor: 11.205

2.  The sources of variability in saccadic eye movements.

Authors:  Robert J van Beers
Journal:  J Neurosci       Date:  2007-08-15       Impact factor: 6.167

3.  Elimination and selection by aspects in health choice experiments: prioritising health service innovations.

Authors:  Seda Erdem; Danny Campbell; Carl Thompson
Journal:  J Health Econ       Date:  2014-07-14       Impact factor: 3.883

4.  The eyes have it: Using eye tracking to inform information processing strategies in multi-attributes choices.

Authors:  Mandy Ryan; Nicolas Krucien; Frouke Hermens
Journal:  Health Econ       Date:  2017-12-27       Impact factor: 3.046

5.  What patients want from primary care consultations: a discrete choice experiment to identify patients' priorities.

Authors:  Sudeh Cheraghi-Sohi; Arne Risa Hole; Nicola Mead; Ruth McDonald; Diane Whalley; Peter Bower; Martin Roland
Journal:  Ann Fam Med       Date:  2008 Mar-Apr       Impact factor: 5.166

6.  Comparing preferences for outcomes of psoriasis treatments among patients and dermatologists in the U.K.: results from a discrete-choice experiment.

Authors:  J M Gonzalez; F R Johnson; H McAteer; J Posner; F Mughal
Journal:  Br J Dermatol       Date:  2016-09-24       Impact factor: 9.302

Review 7.  Use of information-seeking strategies for developing systematic reviews and engaging in evidence-based practice: the application of traditional and comprehensive Pearl Growing. A review.

Authors:  Ralf W Schlosser; Oliver Wendt; Suresh Bhavnani; Barbara Nail-Chiwetalu
Journal:  Int J Lang Commun Disord       Date:  2006 Sep-Oct       Impact factor: 3.020

8.  Bidirectional citation searching to completion: an exploration of literature searching methods.

Authors:  Sebastian Hinde; Eldon Spackman
Journal:  Pharmacoeconomics       Date:  2015-01       Impact factor: 4.981

Review 9.  On the use of EEG or MEG brain imaging tools in neuromarketing research.

Authors:  Giovanni Vecchiato; Laura Astolfi; Fabrizio De Vico Fallani; Jlenia Toppi; Fabio Aloise; Francesco Bez; Daming Wei; Wanzeng Kong; Jounging Dai; Febo Cincotti; Donatella Mattia; Fabio Babiloni
Journal:  Comput Intell Neurosci       Date:  2011-09-27

Review 10.  The Role of Qualitative Research Methods in Discrete Choice Experiments.

Authors:  Caroline Vass; Dan Rigby; Katherine Payne
Journal:  Med Decis Making       Date:  2017-01-06       Impact factor: 2.583

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  6 in total

1.  Using Eye-Tracking Technology with Older People in Memory Clinics to Investigate the Impact of Mild Cognitive Impairment on Choices for EQ-5D-5L Health States Preferences.

Authors:  Kaiying Wang; Chris Barr; Richard Norman; Stacey George; Craig Whitehead; Julie Ratcliffe
Journal:  Appl Health Econ Health Policy       Date:  2021-01       Impact factor: 2.561

2.  A Picture is Worth a Thousand Words: The Role of Survey Training Materials in Stated-Preference Studies.

Authors:  Caroline M Vass; Niall J Davison; Geert Vander Stichele; Katherine Payne
Journal:  Patient       Date:  2020-04       Impact factor: 3.883

3.  Patients' preferences for telemedicine versus in-clinic consultation in primary care during the COVID-19 pandemic.

Authors:  I Mozes; D Mossinson; H Schilder; D Dvir; O Baron-Epel; A Heymann
Journal:  BMC Prim Care       Date:  2022-02-22

4.  Continuing the sequence? Towards an economic evaluation of whole genome sequencing for the diagnosis of rare diseases in Scotland.

Authors:  Michael Abbott; Lynda McKenzie; Blanca Viridiana Guizar Moran; Sebastian Heidenreich; Rodolfo Hernández; Lynne Hocking-Mennie; Caroline Clark; Joana Gomes; Anne Lampe; David Baty; Ruth McGowan; Zosia Miedzybrodzka; Mandy Ryan
Journal:  J Community Genet       Date:  2021-08-20

5.  Factors influencing patients' preferences for their treating physician.

Authors:  Khalid S Alraddadi; Fayzah Al-Adwani; Ziad A Taher; Mubark Al-Mansour; Muhammad Khan
Journal:  Saudi Med J       Date:  2020-08       Impact factor: 1.484

Review 6.  Respondent Understanding in Discrete Choice Experiments: A Scoping Review.

Authors:  Alison Pearce; Mark Harrison; Verity Watson; Deborah J Street; Kirsten Howard; Nick Bansback; Stirling Bryan
Journal:  Patient       Date:  2020-11-03       Impact factor: 3.883

  6 in total

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