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Does Device or Connection Type Affect Health Preferences in Online Surveys?
John D Hartman1, Benjamin M Craig2
1Department of Health Sciences and Administration, University of West Florida, Pensacola, FL, USA. jhartman@uwf.edu.
Online surveys using mobile devices increase sample diversity but may affect response quality. However, health preference utility values remain consistent across devices and connections, supporting broader data collection methods.
Area of Science:
- Health economics
- Health services research
- Digital health
Background:
- Online surveys offer cost-effective and representative data collection for health preference studies.
- Mobile technology adoption is increasing, necessitating an evaluation of its impact on health preference data.
Purpose of the Study:
- To assess the impact of respondent device (cell phone, tablet, Mac, PC) and internet connection type on participation, response quality, and utility values in online health preference surveys.
- To determine if mobile technology use influences the reliability and representativeness of health preference data.
Main Methods:
- Analysis of two discrete choice experiments with 15,292 US general population members.
- Comparison of respondent characteristics, participation rates, response quality (completion times, dropout rates, logical inconsistencies), and EQ-5D-5L utility values based on device and internet connection.
Main Results:
- Mobile device users (cell phone, tablet) and cellular internet users showed longer completion times and higher dropout rates.
- Tablet users exhibited more logical inconsistencies; cellular internet users showed less preference consistency.
- Despite variability in participation and quality, EQ-5D-5L utility values were similar across devices and connection types.
Conclusions:
- Utilizing mobile devices and cellular connections for online surveys significantly enhances respondent diversity and sample representativeness.
- While participation and response quality metrics show variability, the core health utility values derived from these surveys remain largely unaffected.
- The findings support the use of diverse digital platforms for health preference data collection to achieve broader and more inclusive samples.
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