2018
DOI: 10.1371/journal.pone.0190111
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Eye tracking to explore attendance in health-state descriptions

Abstract: IntroductionA crucial assumption in health valuation methods is that respondents pay equal attention to all information components presented in the response task. So far, there is no solid evidence that respondents are fulfilling this condition. The aim of our study is to explore the attendance to various information cues presented in the discrete choice (DC) response tasks.MethodsEye tracking was used to study the eye movements and fixations on specific information areas. This was done for seven DC response t… Show more

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Cited by 8 publications
(6 citation statements)
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“…The findings of Spinks and Mortimer (2016) suggest that ANA differs across alternatives, indicating possible left-right ordering effects. Selivanova and Krabbe (2018) confirm this, as the respondents in their study paid more visual attention to, i.e. fixated their eyes longer and more often on, alternatives presented on the left side.…”
Section: Attribute Non-attendancesupporting
confidence: 62%
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“…The findings of Spinks and Mortimer (2016) suggest that ANA differs across alternatives, indicating possible left-right ordering effects. Selivanova and Krabbe (2018) confirm this, as the respondents in their study paid more visual attention to, i.e. fixated their eyes longer and more often on, alternatives presented on the left side.…”
Section: Attribute Non-attendancesupporting
confidence: 62%
“…Visual ANA is often found to be inconsistent with stated and inferred ANA measures (Balcombe et al, 2015;Van Loo et al, 2018). Grebitus et al (2015), Spinks and Mortimer (2016), Grebitus and Roosen (2018), and Selivanova and Krabbe (2018) show that higher choice task complexity increases visual ANA. The findings of Spinks and Mortimer (2016) suggest that ANA differs across alternatives, indicating possible left-right ordering effects.…”
Section: Attribute Non-attendancementioning
confidence: 93%
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“…Often the structured description of a health condition is referred to as a health state: a small set of attributes each with a limited number of levels of severity. The respondents do not score the attributes one by one but consider the whole set of health attributes, which requires reading and mentally processing all the attributes in the set simultaneously [3]. The response task is to compare complete attribute sets, differing according to levels of severity, or to compare sets with a specified health outcome (e.g., immediate dead or living in full health for a specified number of years).…”
Section: Introductionmentioning
confidence: 99%
“…The respondents score the set of attributes as a whole, and not the individual attributes separately. In doing this, the ability to read and mentally processing all of the attributes simultaneously is required [17]. In comparing complete attribute sets, which differ according to levels of severity (i.e.…”
Section: Preference-based Measurementmentioning
confidence: 99%