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Aims
Introduction/Background
Methods
Anticipated Results
•Aim 1 – To assess the feasibility of recruiting and retaining
young adult smokers in an e-cig harm reduction study
•Aim 2 – To assess daily patterns of cigarette use, product
satisfaction and nicotine cravings with use of 4.5% vs 0 mg
(placebo) e-cigarettes
•Aim 3 – Compare the effect of nicotine cigarettes 4.5%
and place e-cigs (0 mg nicotine) on smoking reduction.
Assessing the use of electronic cigarettes (e-cigarettes) as a harm reduction study
William KangHyun Keem, and Donna Shelley, MD
SARET Program, New York University SOM/COD/CON/SSW, NY
Nicotine replacement therapy (NRT) has the potential to be
one of the most cost-effective methods of quitting.
However more than 80% of people quitting with NRT do
not remain abstinent at 12 months (Ronckers 2005, Stead
2012). With the emergence of e-cigarettes, it has been
proposed that the behavioral habits and route of nicotine
deliverance of traditional cigarettes could be replaced
(Bullen 2010).
• 40 participants will be recruited to each arm through
craigslist
• Inclusion criteria – age 21-35, daily smoker, > 10 CPD,
provide consent, use of cell phone + receiving and
sending text
• Exclusion Criteria – pregnant/breastfeeding, on
smoking cessation program, medication or other
cessation trial, use of e-cig in past 2 weeks, AUDIT
score >7(men) or >5(women), DAST score >5, medical
history related to respiratory or cardiovascular
Figure 2 - Study Design
Figure 3 – Assessment and Intervention Period
Figure 1 – Interest over time on the term “vape” according to Google Trends
Figure 4 – Sample chart on the average
number of cigarettes used during each
interval of study0
5
10
15
20
Baseline
Week 1
Week 3
If eligible, subjects complete a baseline survey and then track
their smoking behavior for three days via a text messaging
program. After tracking smoking patterns they receive one
telephone counseling session and then start using e-cigarettes.
During the 3 weeks of e-cig use we send we text subject 3-8
questions four times a day to assess use of e-cigs and cigarettes
and to assess cravings and mood.
The study is currently in progress, as such, no data
has been collected as of yet. As the graph (figure 4)
shows, we hypothesize that as e-cig use increases
cigarette use will decline.
Data Analysis and Monitoring
• Data between e-cigarettes and cravings will be
correlated using simple Pearson correlation amongst
subjects.
• Multiple aspects of feasibility will measured
including retention rates in the two arms of the
study at each visit, tracking use of e-cigarettes and
cigarettes and satisfaction of e-cigarettes
• Frequencies and percentages of categorical
outcomes, means, standard deviations, medians and
interquartile range for continuous outcomes will be
calculated
• Qualitative interviews will be conducted with 10
subjects in each arm at weeks 1 and 3.
Acknowledgements
This project was funded by a grant from NIDA SARET Summer Research Program. The authors
would also like to thank Dr, Donna Shelley and her team for allowing me to participate in her
study and gain valuable experiences that could not be repeated.
References
Bullen C, McRobbie H, Thornley S, Glover M, Lin R, Laugesen M: Effect of a
n electronic nicotine delivery device (e cigarette) on desire to smoke and wi
thdrawal, user preferences and nicotine delivery: randomized cross-over tri
al. Tob Control 2010, 19: 98-103.
Furberg RD, Uhrig JD, Bann CM, Lewis MA, Harris JL, Williams P, Coomes C,
Martin N, Kuhns L.Technical Implementation of a Multi-Component, Text M
essage-Based Intervention for Persons Living with HIV. JMIR Res Protoc. 20
12 Nov 16;1(2):e17. doi: 10.2196/resprot.2017.
Ronckers ET, Groot W, Ament AJ: Systematic review of economic evaluation
s of smoking cessation: standardizing the cost-effectiveness. Medical Decisi
on Making 2005;25: 437-448.
Walker N, Howe C, Bullen C, Grigg M, Glover M, McRobbie H, Laugesen M,
Jaing J, Chen M-H, Whittaker R, Rodgers A: Does improved access and great
er choice of nicotine replacement therapy affect smoking cessation success
? Findings from a randomized controlled trial. Addiction 2011;106: 1176-11
85.
Assessing the use of electronic cigarettes (e-cigarettes) as a harm reduction study
William KangHyun Keem, and Donna Shelley, MD
SARET Program, New York University SOM/COD/CON/SSW, NY

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SARET ePoster William KangHyun Keem 2014 ds edits

  • 1. Aims Introduction/Background Methods Anticipated Results •Aim 1 – To assess the feasibility of recruiting and retaining young adult smokers in an e-cig harm reduction study •Aim 2 – To assess daily patterns of cigarette use, product satisfaction and nicotine cravings with use of 4.5% vs 0 mg (placebo) e-cigarettes •Aim 3 – Compare the effect of nicotine cigarettes 4.5% and place e-cigs (0 mg nicotine) on smoking reduction. Assessing the use of electronic cigarettes (e-cigarettes) as a harm reduction study William KangHyun Keem, and Donna Shelley, MD SARET Program, New York University SOM/COD/CON/SSW, NY Nicotine replacement therapy (NRT) has the potential to be one of the most cost-effective methods of quitting. However more than 80% of people quitting with NRT do not remain abstinent at 12 months (Ronckers 2005, Stead 2012). With the emergence of e-cigarettes, it has been proposed that the behavioral habits and route of nicotine deliverance of traditional cigarettes could be replaced (Bullen 2010). • 40 participants will be recruited to each arm through craigslist • Inclusion criteria – age 21-35, daily smoker, > 10 CPD, provide consent, use of cell phone + receiving and sending text • Exclusion Criteria – pregnant/breastfeeding, on smoking cessation program, medication or other cessation trial, use of e-cig in past 2 weeks, AUDIT score >7(men) or >5(women), DAST score >5, medical history related to respiratory or cardiovascular Figure 2 - Study Design Figure 3 – Assessment and Intervention Period Figure 1 – Interest over time on the term “vape” according to Google Trends Figure 4 – Sample chart on the average number of cigarettes used during each interval of study0 5 10 15 20 Baseline Week 1 Week 3 If eligible, subjects complete a baseline survey and then track their smoking behavior for three days via a text messaging program. After tracking smoking patterns they receive one telephone counseling session and then start using e-cigarettes. During the 3 weeks of e-cig use we send we text subject 3-8 questions four times a day to assess use of e-cigs and cigarettes and to assess cravings and mood. The study is currently in progress, as such, no data has been collected as of yet. As the graph (figure 4) shows, we hypothesize that as e-cig use increases cigarette use will decline. Data Analysis and Monitoring • Data between e-cigarettes and cravings will be correlated using simple Pearson correlation amongst subjects. • Multiple aspects of feasibility will measured including retention rates in the two arms of the study at each visit, tracking use of e-cigarettes and cigarettes and satisfaction of e-cigarettes • Frequencies and percentages of categorical outcomes, means, standard deviations, medians and interquartile range for continuous outcomes will be calculated • Qualitative interviews will be conducted with 10 subjects in each arm at weeks 1 and 3. Acknowledgements This project was funded by a grant from NIDA SARET Summer Research Program. The authors would also like to thank Dr, Donna Shelley and her team for allowing me to participate in her study and gain valuable experiences that could not be repeated.
  • 2. References Bullen C, McRobbie H, Thornley S, Glover M, Lin R, Laugesen M: Effect of a n electronic nicotine delivery device (e cigarette) on desire to smoke and wi thdrawal, user preferences and nicotine delivery: randomized cross-over tri al. Tob Control 2010, 19: 98-103. Furberg RD, Uhrig JD, Bann CM, Lewis MA, Harris JL, Williams P, Coomes C, Martin N, Kuhns L.Technical Implementation of a Multi-Component, Text M essage-Based Intervention for Persons Living with HIV. JMIR Res Protoc. 20 12 Nov 16;1(2):e17. doi: 10.2196/resprot.2017. Ronckers ET, Groot W, Ament AJ: Systematic review of economic evaluation s of smoking cessation: standardizing the cost-effectiveness. Medical Decisi on Making 2005;25: 437-448. Walker N, Howe C, Bullen C, Grigg M, Glover M, McRobbie H, Laugesen M, Jaing J, Chen M-H, Whittaker R, Rodgers A: Does improved access and great er choice of nicotine replacement therapy affect smoking cessation success ? Findings from a randomized controlled trial. Addiction 2011;106: 1176-11 85. Assessing the use of electronic cigarettes (e-cigarettes) as a harm reduction study William KangHyun Keem, and Donna Shelley, MD SARET Program, New York University SOM/COD/CON/SSW, NY

Editor's Notes

  1. Nicotine replacement therapy (NRT) has the potential to be one of the most cost-effective methods of quitting, however more than 80% of people quitting with NRT remain abstinent at 12 months (Ronckers 2005, Stead 2012). It has been suggested NRTs do not incur the behavioral habits of smoking and is slow to deliver nicotine (Le Houezec 2003, Walker 2011). With the emergence of electronic cigarettes (e-cigarettes), it has been proposed that the behavioral habits and route of nicotine deliverance of traditional cigarettes could be replaced (Bullen 2010).