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Assessing Electronic Nicotine Delivery Systems Device Type Accurately in Surveys
Bekir Kaplan1, Elizabeth Crespi1, Jeffrey J Hardesty1
1Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Self-reported electronic nicotine delivery systems (ENDS) device types show moderate accuracy, with 81.8% overall concordance. Improving survey questions and methods can enhance the classification of ENDS for better public health research.
Area of Science:
- Public Health
- Tobacco Control
- Survey Methodology
Background:
- The electronic nicotine delivery systems (ENDS) market is rapidly evolving and highly diverse in the US.
- Accurate classification of ENDS devices is challenging for surveys, impacting research and regulatory efforts.
- Understanding user-reported device types is crucial for assessing population-level health effects and behaviors.
Purpose of the Study:
- To assess the concordance between self-reported ENDS device types and manufacturer/retailer classifications for specific brands.
- To identify potential inaccuracies in survey data collection for ENDS device types.
- To inform improvements in survey methodologies for ENDS research.
Main Methods:
- Utilized data from the Population Assessment of Tobacco and Health Study wave 5 (2018-2019).
- Included adult ENDS users reporting JUUL, Markten, or Vuse brands (n=656).
- Dichotomized responses comparing self-reported device type against manufacturer/retailer data for concordance analysis.
Main Results:
- Overall concordance between self-reports and manufacturer data was 81.8%.
- Concordance varied by brand: Vuse (82.7%), JUUL (82.6%), and Markten (69.1%).
- A significant portion of Markten users (nearly one-third) did not accurately report their device type.
Conclusions:
- While overall concordance is substantial, specific brands like Markten show lower accuracy.
- Enhancing survey questions with more detail (e.g., liquid container type, refillability, images) can improve ENDS device classification.
- Accurate ENDS data is critical for regulatory bodies monitoring toxicity, addiction, and health impacts.
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