Literature DB >> 29855976

Development of a Discrete Choice Experiment (DCE) Questionnaire to Understand Veterans' Preferences for Tobacco Treatment in Primary Care.

David A Katz1,2,3, Kenda R Stewart4, Monica Paez4, Mark W Vander Weg4,5,6, Kathleen M Grant7,8, Christine Hamlin4, Gary Gaeth9.   

Abstract

BACKGROUND: Providers often prescribe counseling and/or medications for tobacco cessation without considering patients' treatment preferences.
OBJECTIVE: The primary aims of this study are to describe (1) the development of a discrete choice experiment (DCE) questionnaire designed to identify the attributes and levels of tobacco treatment that are most important to veterans; and (2) the decision-making process in choosing between hypothetical tobacco treatments.
METHODS: We recruited current smokers who were already scheduled for a primary care appointment within a single Veterans Affairs (VA) healthcare system. Subjects were asked to rate the importance of selected treatment attributes and were interviewed during two rounds of pilot testing of initial DCE instruments. Key attributes and levels of the initial instruments were identified by targeted literature review; the instruments were iteratively revised after each round of pilot testing. Using a 'think aloud' approach, subjects were interviewed while completing DCE choice tasks. Constant comparison techniques were used to characterize the issues raised by subjects. Findings from the cognitive interviews were used to revise the initial DCE instruments.
RESULTS: Most subjects completed the DCE questionnaire without difficulty and considered two or more attributes in choosing between treatments. Two common patterns of decision-making emerged during the cognitive interviews: (1) counting 'pros' and 'cons' of each treatment alternative; and (2) using a 'rule-out' strategy to eliminate a given treatment choice if it included an undesirable attribute. Subjects routinely discounted the importance of certain attributes and, in a few cases, focused primarily on a single 'must-have' attribute.
CONCLUSION: Cognitive interviews provide valuable insights into the comprehension and interpretation of DCE attributes, the decision processes used by veterans during completion of choice tasks, and underlying reasons for non'-compensatory decision-making.

Entities:  

Mesh:

Year:  2018        PMID: 29855976      PMCID: PMC6697115          DOI: 10.1007/s40271-018-0316-6

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


  43 in total

1.  An experiment on simplifying conjoint analysis designs for measuring preferences.

Authors:  Tara Maddala; Kathryn A Phillips; F Reed Johnson
Journal:  Health Econ       Date:  2003-12       Impact factor: 3.046

2.  The analysis and interpretation of cognitive interviews for instrument development.

Authors:  Kathleen Knafl; Janet Deatrick; Agatha Gallo; Gwynne Holcombe; Marie Bakitas; Jane Dixon; Margaret Grey
Journal:  Res Nurs Health       Date:  2007-04       Impact factor: 2.228

3.  Rationalising the 'irrational': a think aloud study of discrete choice experiment responses.

Authors:  Mandy Ryan; Verity Watson; Vikki Entwistle
Journal:  Health Econ       Date:  2009-03       Impact factor: 3.046

4.  Changes in Veteran Tobacco Use Identified in Electronic Medical Records.

Authors:  Paul G Barnett; Adam Chow; Nicole E Flores; Scott E Sherman; Sonia A Duffy
Journal:  Am J Prev Med       Date:  2017-02-10       Impact factor: 5.043

5.  Statistical numeracy for health: a cross-cultural comparison with probabilistic national samples.

Authors:  Mirta Galesic; Rocio Garcia-Retamero
Journal:  Arch Intern Med       Date:  2010-03-08

6.  Sample size in qualitative research.

Authors:  M Sandelowski
Journal:  Res Nurs Health       Date:  1995-04       Impact factor: 2.228

7.  Making sense of patient priorities: applying discrete choice methods in primary care using 'think aloud' technique.

Authors:  Sudeh Cheraghi-Sohi; Peter Bower; Nicola Mead; Ruth McDonald; Diane Whalley; Martin Roland
Journal:  Fam Pract       Date:  2007-05-02       Impact factor: 2.267

8.  A Framework for Instrument Development of a Choice Experiment: An Application to Type 2 Diabetes.

Authors:  Ellen M Janssen; Jodi B Segal; John F P Bridges
Journal:  Patient       Date:  2016-10       Impact factor: 3.883

Review 9.  Telephone counselling for smoking cessation.

Authors:  Lindsay F Stead; Jamie Hartmann-Boyce; Rafael Perera; Tim Lancaster
Journal:  Cochrane Database Syst Rev       Date:  2013-08-12

10.  Neuropsychiatric safety and efficacy of varenicline, bupropion, and nicotine patch in smokers with and without psychiatric disorders (EAGLES): a double-blind, randomised, placebo-controlled clinical trial.

Authors:  Robert M Anthenelli; Neal L Benowitz; Robert West; Lisa St Aubin; Thomas McRae; David Lawrence; John Ascher; Cristina Russ; Alok Krishen; A Eden Evins
Journal:  Lancet       Date:  2016-04-22       Impact factor: 79.321

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  3 in total

1.  Health preference research: An overview for medical radiation sciences.

Authors:  Amy Brown; Scott Jones; Jackie Yim
Journal:  J Med Radiat Sci       Date:  2022-04-06

2.  Identifying New Zealand Public Preferences for Pharmacist Prescribers in Primary Care: A Discrete Choice Experiment.

Authors:  Rakhee Raghunandan; Kirsten Howard; Carlo A Marra; June Tordoff; Alesha Smith
Journal:  Patient       Date:  2021-06-10       Impact factor: 3.883

Review 3.  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

  3 in total

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