Rebecca S Williams 1,2 , Jason Derrick 1 , Aliza Kate Liebman 3 , Kevin LaFleur 1 , Kurt M Ribisl 1,4 . Show Affiliations »
Abstract
OBJECTIVE: Identify the population of internet e-cigarette vendors (IEVs) and conduct content analyses of their age verification, purchase and delivery methods in 2013 and 2014. METHODS: We used multiple sources to identify IEV websites, primarily complex search algorithms scanning more than 180 million websites. In 2013, we manually screened 32 446 websites, identifying 980 IEVs, selecting the 281 most popular for content analysis. This methodology yielded 31 239 websites for screening in 2014, identifying 3096 IEVs, with 283 selected for content analysis. RESULTS: The proportion of vendors that sold online-only, with no retail store, dropped significantly from 2013 (74.7%) to 2014 (64.3%) (p<0.01), with a corresponding significant decrease in US-based vendors (71.9% in 2013 and 65% in 2014). Most vendors did little to prevent youth access in either year, with 67.6% in 2013 and 63.2% in 2014 employing no age verification or relying exclusively on strategies that cannot effectively verify age. Effective age verification strategies such as online age verification services (7.1% in 2013 and 8.5% in 2014), driving licences (1.8% in 2013 and 7.4% in 2014, p<0.01) or age verification at delivery (6.4% in 2013 and 8.1% in 2104) were rarely advertised on IEV websites. Nearly all vendors advertised accepting credit cards, and about ¾ shipping via United States Postal Service, similar to the internet cigarette industry prior to federal bans. CONCLUSIONS: The number of IEVs grew sharply from 2013 to 2014, with poor age verification practices. New and expanded regulations for online e-cigarette sales are needed, including strict age and identity verification requirements. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
OBJECTIVE: Identify the population of internet e-cigarette vendors (IEVs) and conduct content analyses of their age verification, purchase and delivery methods in 2013 and 2014. METHODS: We used multiple sources to identify IEV websites, primarily complex search algorithms scanning more than 180 million websites. In 2013, we manually screened 32 446 websites, identifying 980 IEVs, selecting the 281 most popular for content analysis. This methodology yielded 31 239 websites for screening in 2014, identifying 3096 IEVs, with 283 selected for content analysis. RESULTS: The proportion of vendors that sold online-only, with no retail store, dropped significantly from 2013 (74.7%) to 2014 (64.3%) (p<0.01), with a corresponding significant decrease in US-based vendors (71.9% in 2013 and 65% in 2014). Most vendors did little to prevent youth access in either year, with 67.6% in 2013 and 63.2% in 2014 employing no age verification or relying exclusively on strategies that cannot effectively verify age. Effective age verification strategies such as online age verification services (7.1% in 2013 and 8.5% in 2014), driving licences (1.8% in 2013 and 7.4% in 2014, p<0.01) or age verification at delivery (6.4% in 2013 and 8.1% in 2104) were rarely advertised on IEV websites. Nearly all vendors advertised accepting credit cards, and about ¾ shipping via United States Postal Service, similar to the internet cigarette industry prior to federal bans. CONCLUSIONS: The number of IEVs grew sharply from 2013 to 2014, with poor age verification practices. New and expanded regulations for online e-cigarette sales are needed, including strict age and identity verification requirements. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Entities: CellLine
Chemical
Disease
Species
Keywords:
Advertising and Promotion; Electronic nicotine delivery devices; Public policy; Surveillance and monitoring; Tobacco industry
Mesh: See more »
Year: 2017
PMID: 28484040 PMCID: PMC5677573 DOI: 10.1136/tobaccocontrol-2016-053616
Source DB: PubMed Journal: Tob Control ISSN: 0964-4563 Impact factor: 7.552