SHORT REPORT
A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
 
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1
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
2
Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, USA
Publish date: 2018-05-15
Submission date: 2018-02-12
Final revision date: 2018-04-06
Acceptance date: 2018-04-30
 
Tob. Prev. Cessation 2018;4(May):20
KEYWORDS:
TOPICS:
ABSTRACT:
Introduction:
Biochemical verification of smoking abstinence remains an important validity check of cessation trial outcomes. Digital health trials rarely establish inperson contacts between participants and intervention providers, requiring novel strategies to biochemically verify outcomes. We describe remote verification of smoking abstinence via saliva cotinine and individual predictors of compliance in a digital intervention.

Material and Methods:
Data came from a feasibility trial and randomized controlled trial of a Facebook smoking cessation intervention for young adults. In both trials, participants completed baseline and follow-up surveys at 3, 6 and 12 months. Participants indicating past 7-day point prevalence smoking abstinence were mailed a saliva cotinine kit. Participants were instructed to electronically send two photos — one of them giving a saliva sample and the other with the test results. We investigated predictors of compliance with these procedures, independent of verification results, among participants that were mailed a kit at any follow-up point (N=130; mean age = 21.3; 59.2% female) using logistic and multinomial regression.

Results:
A total of 189 kits were sent out, of which 97 were completed (51.3% compliance). We did not identify significant predictors of completing any vs no kits using logistic regression. We also found no significant predictors of extent of kit completion (none vs some; none vs all) using multinomial regression and controlling for number of kits sent.

Conclusions:
Findings demonstrate the feasibility of this biochemical verification method and suggest low risk for bias of results. Future studies should replicate findings in larger samples and improve compliance with verification procedures.

CORRESPONDING AUTHOR:
Johannes Thrul   
Johns Hopkins Bloomberg School of Public Health, 624 N Broadway, 21205 Baltimore, United States.
 
REFERENCES (22):
1. Connor Gorber S, Schofield-Hurwitz S, Hardt J, et al. The accuracy of self-reported smoking: a systematic review of the relationship between self-reported and cotinine-assessed smoking status. Nicotine Tob Res 2009;11:12–24. doi:10.1093/ntr/ntn010
2. Patrick DL, Cheadle A, Thompson DC, et al. The validity of self-reported smoking: a review and meta-analysis. Am J Public Health 1994;84:1086–93.
3. Whittaker R, McRobbie H, Bullen C, et al. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev 2016;4:CD006611. doi:10.1002/14651858.CD006611.pub4
4. SRNT Subcommittee on Biochemical Verification. Biochemical verification of tobacco use and cessation. Nicotine Tob Res 2002;4:149–59. doi:10.1080/14622200210123581
5. Cha S, Ganz O, Cohn AM, et al. Feasibility of biochemical verification in a web-based smoking cessation study. Addict Behav 2017;73:204–8. doi:10.1016/j.addbeh.2017.05.020
6. McClure EA, Gray KM. The Remote Monitoring of Smoking in Adolescents. Adolesc Psychiatry 2013;3:156–62. doi:10.2174/2210676611303020006
7. Rodgers A, Corbett T, Bramley D, et al. Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging. Tob Control 2005;14:255–61. doi:10.1136/tc.2005.011577
8. Abroms LC, Boal AL, Simmens SJ, et al. A randomized trial of Text2Quit: a text messaging program for smoking cessation. Am J Prev Med 2014;47:242–50. doi:10.1016/j.amepre.2014.04.010
9. Free C, Knight R, Robertson S, et al. Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial. Lancet 2011;378:49–55. doi:10.1016/S0140-6736(11)60701-0
10. Dallery J, Raiff BR, Grabinski MJ. Internet-based contingency management to promote smoking cessation: A randomized controlled study. J Appl Behav Anal 2013;46:750–64. doi:10.1002/jaba.89
11. Karelitz JL, Michael VC, Boldry M, et al. Validating Use of Internet-Submitted Carbon Monoxide Values by Video to Determine Quit Status. Nicotine Tob Res 2017;19:990–3. doi:10.1093/ntr/ntw311
12. Noonan D, Jiang Y, Duffy SA. Utility of biochemical verification of tobacco cessation in the Department of Veterans Affairs. Addict Behav 2013;38:1792–5. doi:10.1016/j.addbeh.2012.11.006
13. Ramo DE, Thrul J, Chavez K, et al. Feasibility and Quit Rates of the Tobacco Status Project: A Facebook Smoking Cessation Intervention for Young Adults. J Med Internet Res 2015;17:e291. doi:10.2196/jmir.5209
14. Thrul J, Klein AB, Ramo DE. Smoking Cessation Intervention on Facebook: Which Content Generates the Best Engagement? J Med Internet Res 2015;17:e244. doi: 10.2196/jmir.4575
15. Thrul J, Ramo DE. Cessation Strategies Young Adult Smokers Use After Participating in a Facebook Intervention. Subst Use Misuse 2017;52:259–64. doi:10.1080/10826084.2016.1223690
16. Ramo DE, Thrul J, Delucchi KL, et al. The Tobacco Status Project (TSP): Study protocol for a randomized controlled trial of a Facebook smoking cessation intervention for young adults. BMC Public Health 2015;15:897. doi:10.1186/s12889-015-2217-0
17. Ramo DE, Thrul J, Delucchi KL, et al. A Randomized Controlled Evaluation of the Tobacco Status Project, a Facebook Intervention for Young Adults. Addiction In press.
18. Hall SM, Tsoh JY, Prochaska JJ, et al. Treatment for Cigarette Smoking Among Depressed Mental Health Outpatients: A Randomized Clinical Trial. Am J Public Health 2006;96:1808–14. doi:10.2105/AJPH.2005.080382
19. Baker TB, Piper ME, McCarthy DE, et al. Time to First Cigarette in the Morning as an Index of Ability to Quit Smoking: Implications for Nicotine Dependence. Nicotine Tob Res 2007;9:S555–70. doi:10.1080/14622200701673480
20. Thrul J, Stemmler M, Bühler A, et al. The role of participants’ self-selected future smoking goals in adolescent smoking cessation interventions. Drug Alcohol Depend 2014;141:118–23. doi:10.1016/j.drugalcdep.2014.05.016
21. Thrul J, Bühler A, Ferguson SG. An Internet-based ecological momentary assessment study relying on participants’ own mobile phones: insights from a study with young adult smokers. Eur Addict Res 2015;21:1–5. doi:10.1159/000363231
22. Agresti A. An introduction to categorical data analysis. 2nd ed. Hoboken, NJ: : John Wiley & Sons, Inc. 2007.
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