Abstract:SummaryDecision strategies in multi‐attribute choice experiments are investigated using eye‐tracking. The visual attention towards, and attendance of, attributes is examined. Stated attendance is found to diverge substantively from visual attendance of attributes. However, stated and visual attendance are shown to be informative, non‐overlapping sources of information about respondent utility functions when incorporated into model estimation. Eye‐tracking also reveals systematic nonattendance of attributes onl… Show more
“…The levels of these attributes were ‘no’, ‘some’, and ‘a lot’. Color coding was used to aid visual representation of the information: positive attribute levels were displayed in green text, the negative levels in red text, and the intermediate levels in orange text [31]. The choice sets were presented in random order to the respondents.Fig.…”
BackgroundInformal care is often not included in economic evaluations in healthcare, while the impact of caregiving can be relevant for cost-effectiveness recommendations from a societal perspective. The impact of informal care can be measured and valued with the CarerQol instrument, which measures the impact of informal care on seven important burden dimensions (CarerQol-7D) and values this in terms of general quality of life (CarerQol-VAS). The CarerQol can be included at the effect side of multi-criteria analyses of patient interventions or in cost-effectiveness or utility analysis of interventions targeted at caregivers.ObjectiveAt present, utility scores based on relative utility weights for the CarerQol-7D are only available for the Netherlands. This study calculates CarerQol-7D tariffs for Australia, Germany, Sweden, UK, and US.MethodsData were collected among the general population in Australia, Germany, Sweden, UK, and US by an Internet survey. Utility weights were collected with a discrete choice experiment with two unlabeled alternatives described in terms of the seven CarerQol-7D dimensions. An efficient experimental design with priors obtained from the Netherlands was used to create the choice sets. Data was analyzed with a panel mixed multinomial logit model with random parameters.ResultsIn all five countries, the CarerQol-7D dimensions were significantly associated with the utility of informal care situations. Physical health problems were most strongly associated with the utility for informal care situations. The tariff was constructed by adding up the relative utility weights per category of all CarerQol-7D dimensions for each country separately.ConclusionThe CarerQol tariffs for Australia, Germany, Sweden, UK, and US facilitate the inclusion of informal care in economic evaluations.
“…The levels of these attributes were ‘no’, ‘some’, and ‘a lot’. Color coding was used to aid visual representation of the information: positive attribute levels were displayed in green text, the negative levels in red text, and the intermediate levels in orange text [31]. The choice sets were presented in random order to the respondents.Fig.…”
BackgroundInformal care is often not included in economic evaluations in healthcare, while the impact of caregiving can be relevant for cost-effectiveness recommendations from a societal perspective. The impact of informal care can be measured and valued with the CarerQol instrument, which measures the impact of informal care on seven important burden dimensions (CarerQol-7D) and values this in terms of general quality of life (CarerQol-VAS). The CarerQol can be included at the effect side of multi-criteria analyses of patient interventions or in cost-effectiveness or utility analysis of interventions targeted at caregivers.ObjectiveAt present, utility scores based on relative utility weights for the CarerQol-7D are only available for the Netherlands. This study calculates CarerQol-7D tariffs for Australia, Germany, Sweden, UK, and US.MethodsData were collected among the general population in Australia, Germany, Sweden, UK, and US by an Internet survey. Utility weights were collected with a discrete choice experiment with two unlabeled alternatives described in terms of the seven CarerQol-7D dimensions. An efficient experimental design with priors obtained from the Netherlands was used to create the choice sets. Data was analyzed with a panel mixed multinomial logit model with random parameters.ResultsIn all five countries, the CarerQol-7D dimensions were significantly associated with the utility of informal care situations. Physical health problems were most strongly associated with the utility for informal care situations. The tariff was constructed by adding up the relative utility weights per category of all CarerQol-7D dimensions for each country separately.ConclusionThe CarerQol tariffs for Australia, Germany, Sweden, UK, and US facilitate the inclusion of informal care in economic evaluations.
“…The duration of each task depended on the time that each participant took to evaluate and answer the choice question. Similar to Balcombe et al (2015), participants viewed each choice set as long as they wanted and then clicked on an option (i.e., one of the two product alternatives or the no-buy option) to indicate their choice in each of the choice sets. On average, participants spent 73 s to answer all the eight choice questions.…”
Section: Eye-tracking: Procedures and Measuresmentioning
“…The decision-making problem that we focus on in this paper is multi-attribute object selection, also called search between alternatives or multiple criteria decision-making. A number of papers have gathered empirical evidence on this type of search problem (e.g., Wallenius et al, 2008;Caplin et al, 2011;Savikhin et al, 2011;Besedes et al, 2012aBesedes et al, , 2012bBalcombe et al, 2014;Sanjurjo, 2014;Sonntag, 2015).…”
We investigate the effect of different interactive technologies on the decision-making process in an information search laboratory experiment. In our experiment, the participant makes a selection from a list of differently-valued objects with multiple attributes. We compare presenting information in static form to two methods of interactive presentation. In the first, the participant can manually sort objects by attribute, a capability similar to that found in spreadsheet software. In the second, we present an interactive visual tool that (1) automatically sorts all objects by attribute and (2) uses visual cues for comparisons. Manual sorting capability does not cause an improvement in decisions in this context. On the other hand, the visual tool increases the value of the objects selected by the participant and decreases time spent deliberating. We also find that our interactive presentations affect the decision-making process of participants by changing the number of intermediate options considered. Our results highlight the importance of investigating the effect of technology on information search, and suggest that appropriate interactive visual displays may improve search in practice.JEL Classifications: C91, D83
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