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| ID | Type | Description | Link |
|---|---|---|---|
| 4R44DA059018-02 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute on Drug Abuse (NIDA) | NIH |
| Massachusetts General Hospital | OTHER |
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3. General Description of Study Design
The proposed study will evaluate the effect of adding a VR app with CBT-embedded content to a 12-session individual CBT treatment program. Investigators propose a prospective, randomized, single-blind, trial with 90 individuals aged 16 years and over who vape nicotine at least weekly for three months, and wish to quit vaping within the next month. Subjects will be randomly assigned to either the experimental (NO VAPE + CBT) or control group (sham NO VAPE + CBT) for 12 weeks. The study will use a double blind design where both subjects and investigators and outcome assessors will be masked to subjects' group assignments. The experimental group will receive the following over a 12-week period: NO VAPE (VR app) combined with the MGH 12-session remote behavioral vaping cessation support program for vaping cessation. The control group will receive a sham NO VAPE (VR app) combined with the MGH 12-session remote behavioral vaping cessation support program. The VR app will be used at home by participants in between CBT session visits. Participants will also briefly report their CBT skills practice using the MyCap smartphone app. Participants will be assigned randomly to the experimental or control group in a 1:1 ratio, with randomization blocks of 6, stratified by no/mild nicotine dependence (Electronic Cigarette Dependence Index [ECDI] score 0-8) or moderate/high nicotine dependence (ECDI score 9 or higher) in a prospective trial in people age 16 and over, who use vaped nicotine regularly and wish to quit vaping.
The primary outcome is self-reported time spent in CBT skills practice per week. Groups will be compared on mean number of days and duration of self-reported CBT skill practice per week over the 12-week treatment period.
Secondary outcomes are: tolerability and feasibility of the NO VAPE virtual reality (VR) vaping cessation tool, which will be assessed by the following self-reported ratings in both groups: a) average CBT session attendance weekly, b) satisfaction ratings, c) adverse events; and by the following self-reported ratings d) self-ratings of the virtual reality application usability, e) engagement, f) presence, and g) simulator cyber sickness.
Exploratory outcomes are: 1) biochemically verified 7-day point prevalence vaping abstinence at week 12, and 2) 4-week biochemically verified continuous abstinence from weeks 9-12.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NO VAPE + 12 weeks CBT | Active Comparator | The experimental group will receive the following over a 12-week period: NO VAPE (VR app) combined with the MGH 12-session remote behavioral vaping cessation support program for vaping cessation. |
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| Sham NO VAPE + 12 weeks CBT | Sham Comparator | The control group will receive a sham NO VAPE (VR app) combined with the MGH 12-session remote behavioral vaping cessation support program. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| NO VAPE VR app with CBT-embedded content with a 12-session individual CBT treatment program | Behavioral | The control group will receive a sham NO VAPE (VR app) combined with the MGH 12-session remote behavioral vaping cessation support program. |
| Measure | Description | Time Frame |
|---|---|---|
| Difference in CBT sessions attended | We will evaluate the number of CBT sessions attended across the 12 weeks | 12 Weeks |
| Time spent practicing CBT skills | We time spent practicing CBT between sessions in minutes. The app collects data automatically on how much time is spent using it, and how much time is spent within each environment. | Weeks 1-12 |
| Measure | Description | Time Frame |
|---|---|---|
| Change in craving | We will measure changes in craving at enrollment and weekly using a brief, 10-item, valid and reliable measure of vaping craving that queries desire and intent to vape and anticipation of positive outcomes related to e-cigarette use. | Weeks 1-12 |
| Change in withdrawal symptoms |
| Measure | Description | Time Frame |
|---|---|---|
| 7-Day Point Prevalence Vaping Abstinence | Exploratory outcome 1 is biochemically verified 7-day point prevalence vaping abstinence at week 12. | week 12 |
| 4-Week Vaping Abstinence | Exploratory outcome 2 is 4-week biochemically verified continuous abstinence from weeks 9-12. |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Bethany Bracken | Contact | 16174913474 | bbracken@cra.com |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 18929686 | Background | Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30. | |
| Background | Kennedy RS, Lane NE, Berbaum KS, Lilienthal MG. Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness. The International Journal of Aviation Psychology. 1993/07/01 1993;3(3):203-220. doi:10.1207/s15327108ijap0303_3 | ||
| Background | Witmer BG, Singer MJ. Measuring Presence in Virtual Environments: A Presence Questionnaire. Presence: Teleoperators and Virtual Environments. 1998;7(3):225-240. doi:10.1162/105474698565686 | ||
| Background | Lin JJW, Duh HBL, Parker DE, Abi-Rached H, Furness TA. Effects of field of view on presence, enjoyment, memory, and simulator sickness in a virtual environment. 2002:164-171. |
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All Deidentified IPD collected throughout the trial
Feb 2029
They must request access through Charles River Analytics.
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| Sham VR app without CBT-embedded content with a 12-session individual CBT treatment program | Behavioral | The control group will receive a sham NO VAPE (VR app) combined with the MGH 12-session remote behavioral vaping cessation support program. |
|
We will measure changes in withdrawal symptoms using the Minnesota Nicotine Withdrawal Scale (MNWS) |
| Weeks 1-12 |
| Change in severity of tobacco use disorder (TUD) | We will evaluate the impact of the intervention on reducing the severity of tobacco use disorder (TUD). Severity of TUD is operationalized as Electronic Cigarette Dependence Index (ECDI; Foulds et al., 2015) total score, (range 0-20). | Week 12 |
| weeks 9-12 |
| 37009114 | Background | Schuster RM, Cather C, Pachas GN, Nielsen L, Iroegbulem V, Dufour J, Potter K, Levy S, Gray KM, Evins AE. A randomized controlled trial of varenicline and brief behavioral counseling delivered by lay counselors for adolescent vaping cessation: Study protocol. Front Psychiatry. 2023 Mar 15;14:1083791. doi: 10.3389/fpsyt.2023.1083791. eCollection 2023. |
| Background | Meta. This is Meta Quest. Accessed 03/05/2025, 2025. https://www.meta.com/quest/?srsltid=AfmBOoojbfuf4Ht9amTr-QDOGrgC5wz7RHJ80CTGLUZ4bQ0IKlyr_V8w |
| 3954551 | Background | Hughes JR, Hatsukami D. Signs and symptoms of tobacco withdrawal. Arch Gen Psychiatry. 1986 Mar;43(3):289-94. doi: 10.1001/archpsyc.1986.01800030107013. |
| 29546379 | Background | Dowd AN, Motschman CA, Tiffany ST. Development and Validation of the Questionnaire of Vaping Craving. Nicotine Tob Res. 2019 Jan 1;21(1):63-70. doi: 10.1093/ntr/nty046. |
| 30874804 | Background | Piper ME, Baker TB, Benowitz NL, Smith SS, Jorenby DE. E-cigarette Dependence Measures in Dual Users: Reliability and Relations With Dependence Criteria and E-cigarette Cessation. Nicotine Tob Res. 2020 Apr 21;22(5):756-763. doi: 10.1093/ntr/ntz040. |
| 20347232 | Background | Adamson SJ, Kay-Lambkin FJ, Baker AL, Lewin TJ, Thornton L, Kelly BJ, Sellman JD. An improved brief measure of cannabis misuse: the Cannabis Use Disorders Identification Test-Revised (CUDIT-R). Drug Alcohol Depend. 2010 Jul 1;110(1-2):137-43. doi: 10.1016/j.drugalcdep.2010.02.017. Epub 2010 Mar 26. |
| 8329970 | Background | Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II. Addiction. 1993 Jun;88(6):791-804. doi: 10.1111/j.1360-0443.1993.tb02093.x. |
| 9738608 | Background | Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Arch Intern Med. 1998 Sep 14;158(16):1789-95. doi: 10.1001/archinte.158.16.1789. |
| 23276315 | Background | Robinson SM, Sobell LC, Sobell MB, Leo GI. Reliability of the Timeline Followback for cocaine, cannabis, and cigarette use. Psychol Addict Behav. 2014 Mar;28(1):154-62. doi: 10.1037/a0030992. Epub 2012 Dec 31. |
| Background | Wienrich C, Döllinger N, Hein R. Behavioral Framework of Immersive Technologies (BehaveFIT): How and Why Virtual Reality can Support Behavioral Change Processes. Hypothesis and Theory. Frontiers in Virtual Reality. 2021-June-24 2021;2doi:10.3389/frvir.2021.627194 |
| Background | Okpako T, Kale D, Perski O, Brown J. Prevalence and characteristics of smokers interested in using virtual reality for encouraging smoking cessation: a representative population survey in Great Britain. BMC Digital Health. 2024/11/12 2024;2(1):79. doi:10.1186/s44247-024-00136-2 |
| 24962558 | Background | Pericot-Valverde I, Secades-Villa R, Gutierrez-Maldonado J, Garcia-Rodriguez O. Effects of systematic cue exposure through virtual reality on cigarette craving. Nicotine Tob Res. 2014 Nov;16(11):1470-7. doi: 10.1093/ntr/ntu104. Epub 2014 Jun 23. |
| 30466545 | Background | Pericot-Valverde I, Secades-Villa R, Gutierrez-Maldonado J. A randomized clinical trial of cue exposure treatment through virtual reality for smoking cessation. J Subst Abuse Treat. 2019 Jan;96:26-32. doi: 10.1016/j.jsat.2018.10.003. Epub 2018 Oct 16. |
| 21685645 | Background | Pericot-Valverde I, Garcia-Rodriguez O, Gutierrez-Maldonado J, Ferrer-Garcia M, Secades-Villa R. Evolution of smoking urge during exposure through virtual reality. Stud Health Technol Inform. 2011;167:74-9. |
| 33048127 | Background | Mayer M, Reyes-Guzman C, Grana R, Choi K, Freedman ND. Demographic Characteristics, Cigarette Smoking, and e-Cigarette Use Among US Adults. JAMA Netw Open. 2020 Oct 1;3(10):e2020694. doi: 10.1001/jamanetworkopen.2020.20694. |
| 39744548 | Background | Wang P, Ai X, Zhang X, Ma F, Zhuang Y, Wang S. Evaluating virtual reality technology in psychotherapy: impacts on anxiety, depression, and ADHD. Front Psychiatry. 2024 Dec 18;15:1480788. doi: 10.3389/fpsyt.2024.1480788. eCollection 2024. |
| Background | Lindner P. Better, Virtually: the Past, Present, and Future of Virtual Reality Cognitive Behavior Therapy. International Journal of Cognitive Therapy. 2021/03/01 2021;14(1):23-46. doi:10.1007/s41811-020-00090-7 |
| 34533471 | Background | Keijsers M, Vega-Corredor MC, Tomintz M, Hoermann S. Virtual Reality Technology Use in Cigarette Craving and Smoking Interventions (I "Virtually" Quit): Systematic Review. J Med Internet Res. 2021 Sep 17;23(9):e24307. doi: 10.2196/24307. |
| Background | Milkowski M, Olesk J, Asfura DM, et al. Youth Vaping in the Digital Age: A Systematic Review of Technological Interventions for Prevention and Cessation. presented at: Companion Proceedings of the 2025 ACM International Conference on Supporting Group Work; 2025; Hilton Head, New Jersey, USA. https://doi.org/10.1145/3688828.3699642 |
| 32897288 | Background | Obisesan OH, Osei AD, Uddin SMI, Dzaye O, Mirbolouk M, Stokes A, Blaha MJ. Trends in e-Cigarette Use in Adults in the United States, 2016-2018. JAMA Intern Med. 2020 Oct 1;180(10):1394-1398. doi: 10.1001/jamainternmed.2020.2817. |
| 40036117 | Background | Vahratian A, Briones EM, Jamal A, Marynak KL. Electronic Cigarette Use Among Adults in the United States, 2019-2023. NCHS Data Brief. 2025 Jan;(524):CS356607. doi: 10.15620/cdc/174583. |
| 37479423 | Background | Bandi P, Star J, Minihan AK, Patel M, Nargis N, Jemal A. Changes in E-Cigarette Use Among U.S. Adults, 2019-2021. Am J Prev Med. 2023 Aug;65(2):322-326. doi: 10.1016/j.amepre.2023.02.026. Epub 2023 Apr 18. |