DOES SIZE MATTER? MOBILE VERSES COMPUTER COMPLETION OF HEALTH DCE
Author(s)
Fifer S1, Rose J2, Beck M3
1Community and Patient Preference Research (CaPPRe), Sydney, Australia, 2UTS, Centre for Business Intelligence and Data Analytics, Ultimo, Australia, 3The University of Sydney, Sydney, Australia
OBJECTIVES: Traditionally Discrete Choice Experiments (DCEs) have not been able to be easily completed on a mobile platform because of the size requirements of the choice scenarios and the relatively small mobile screen. This limitation presents a number of research challenges, particularly in regard to sampling certain age groups and cultures who prefer communication via a mobile device. The purpose of this study is to compare DCE results measuring community preferences towards genetic testing from different modes of survey completion (both mobile and computer). METHODS: A representative sample of 500 Australians completed the survey. Participants were evenly split into two groups, a mobile group and a traditional computer group. The task involved trade-offs about the current and future offerings of genetic tests.In the mobile survey participants were shown a single profile task (i.e., one potential genetic test) and asked if they would choose to take this test given the features described. Similarly in the computer survey participants were shown a mix of both single profile tasks and the more commonly used multiple profile tasks (i.e., comparison of two potential genetic tests) and also asked about likely uptake. RESULTS: There were no significant differences between the model results from the mobile survey and computer survey. The most important features to the Australian community when deciding whether to have a genetic test were the cost of the test, benefit of the test and the pre-existing chance that you will get the health condition of interest. CONCLUSIONS: This study demonstrates that DCEs can be completed on a mobile platform and the results are comparable with results from traditional completion methods using a computer. These findings open up new research opportunities to interact and engage with participants who would otherwise not be able to or not be interested in completing a survey on a computer.
Conference/Value in Health Info
2018-09, ISPOR Asia Pacific 2018, Tokyo, Japan
Value in Health, Vol. 21, S2 (September 2018)
Code
PRM45
Topic
Methodological & Statistical Research
Topic Subcategory
PRO & Related Methods
Disease
Multiple Diseases