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“I Was Trying to Do the Maths”: Exploring the Impact of Risk Communication in Discrete Choice Experiments

Overview of attention for article published in The Patient - Patient-Centered Outcomes Research, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

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16 X users

Citations

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68 Mendeley
Title
“I Was Trying to Do the Maths”: Exploring the Impact of Risk Communication in Discrete Choice Experiments
Published in
The Patient - Patient-Centered Outcomes Research, August 2018
DOI 10.1007/s40271-018-0326-4
Pubmed ID
Authors

Caroline Vass, Dan Rigby, Katherine Payne

Abstract

Risk is increasingly used as an attribute in discrete choice experiments (DCEs). However, risk and probabilities are complex concepts that can be open to misinterpretation, potentially undermining the robustness of DCEs as a valuation method. This study aimed to understand how respondents made benefit-risk trade-offs in a DCE and if these were affected by the communication of the risk attributes. Female members of the public were recruited via local advertisements to participate in think-aloud interviews when completing a DCE eliciting their preferences for a hypothetical breast screening programme described by three attributes: probability of detecting a cancer; risk of unnecessary follow-up; and cost of screening. Women were randomised to receive risk information as either (1) percentages or (2) percentages and icon arrays. Interviews were digitally recorded then transcribed to generate qualitative data for thematic analysis. Nineteen women completed the interviews (icon arrays n = 9; percentages n = 10). Analysis revealed four key themes where women made references to (1) the nature of the task; (2) their feelings; (3) their experiences, for instance making analogies to similar risks; and (4) economic phenomena such as opportunity costs and discounting. Most women completed the DCE in line with economic theory; however, violations were identified. Women appeared to visualise risk whether they received icon arrays or percentages only. Providing clear instructions and graphics to aid interpretation of risk and qualitative piloting to verify understanding is recommended. Further investigation is required to determine if the process of verbalising thoughts changes the behaviour of respondents.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 10 15%
Student > Master 6 9%
Professor 4 6%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 25 37%
Readers by discipline Count As %
Medicine and Dentistry 10 15%
Psychology 7 10%
Economics, Econometrics and Finance 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Agricultural and Biological Sciences 2 3%
Other 8 12%
Unknown 31 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 10 September 2018.
All research outputs
#3,021,054
of 23,999,200 outputs
Outputs from The Patient - Patient-Centered Outcomes Research
#97
of 549 outputs
Outputs of similar age
#60,396
of 334,773 outputs
Outputs of similar age from The Patient - Patient-Centered Outcomes Research
#5
of 10 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 82% of its peers.
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 334,773 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.