↓ Skip to main content

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

Overview of attention for article published in The Patient - Patient-Centered Outcomes Research, June 2018
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Readers on

mendeley
69 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Development of a Discrete Choice Experiment (DCE) Questionnaire to Understand Veterans’ Preferences for Tobacco Treatment in Primary Care
Published in
The Patient - Patient-Centered Outcomes Research, June 2018
DOI 10.1007/s40271-018-0316-6
Pubmed ID
Authors
Abstract

Providers often prescribe counseling and/or medications for tobacco cessation without considering patients' treatment preferences. 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. 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. 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. 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.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 17%
Student > Master 8 12%
Student > Bachelor 6 9%
Lecturer 4 6%
Student > Ph. D. Student 4 6%
Other 13 19%
Unknown 22 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 14%
Economics, Econometrics and Finance 8 12%
Nursing and Health Professions 6 9%
Engineering 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 12 17%
Unknown 26 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 June 2018.
All research outputs
#21,498,958
of 23,999,200 outputs
Outputs from The Patient - Patient-Centered Outcomes Research
#538
of 549 outputs
Outputs of similar age
#294,090
of 334,053 outputs
Outputs of similar age from The Patient - Patient-Centered Outcomes Research
#17
of 17 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.