Attribute attendance is a fundamental assumption of discrete choice experiments, a commonly used technique for investigating individual health preferences. When attribute attendance is not accomplished (also called attribute non-attendance) it presents a serious risk to the validity of the outcomes of discrete choice experiments.
One possible method for the assessment of attribute attendance is eye-tracking in which the gaze of a participant is tracked to see where they are looking during a choice task. However, there is limited research that uses eye-tracking to assess attribute attendance during choice task completion, and what research has been done frequently does not use patient populations.
The aim of this study is to investigate attribute non-attendance in different patient populations and disease contexts (i.e. group, disease, previously determined attributes of interest), and how risk attribute presentation formats impacts attribute non-attendance in different patient populations and disease contexts using use eye-tracking techniques.
|Therapeutic areas||Lung Cancer
|Study led by||UMCU|
|PREFER leads team||Ian Smith
Ardine de Wit
|MPLC decision point of interest||Early development
|PREFER case study acronym||UMCU|
|Clinical objectives||Supplement the research findings of other core case studies in PREFER by assessing attribute attendance via eye-tracking|
|Patients from||UMCU and local healthcare networks|
|Methods in Qualitative study||Cultural validity check|
|Methods in Quantitative study||Eye-tracking based Discrete Choice Experiment (DCE)|
|End-date qualitative data collection||October 2019|
|End-date quantitative data collection||Q3 2020|