Tobacco cessation mobile app intervention (Just Kwit! study): protocol for a pilot randomized controlled pragmatic trial

Kar-Hai Chu, César G Escobar-Viera, Sara J Matheny, Esa M Davis, Brian A Primack, Kar-Hai Chu, César G Escobar-Viera, Sara J Matheny, Esa M Davis, Brian A Primack

Abstract

Background: Adolescence and young adulthood are critical times of initiation and progression to daily use of tobacco. However, it is difficult to recruit young adults to traditional smoking cessation and retention rates are typically low. Smartphone cessation applications (apps) can provide real-time responses to smoking urges and related cues, which are known to be important factors in lapse and relapse. Given the popularity of smartphones among young adults and the considerably higher download rates of commercially developed apps compared to research-based apps, there is a need to design pragmatic studies that evaluate commercial tobacco cessation apps. The aims of this pilot study are to assess the impact on tobacco cessation of using a smartphone app compared with usual care and to generate feasibility data to inform a future fully powered clinical trial.

Methods: We will conduct an open randomized controlled trial with parallel groups. Participants will be selected from hospitalized patients and must be aged 18-30 years, interested in cessation, smoked > 5 cigarettes/day over the past 30 days, and own an Apple or Android smartphone. Participants who are eligible will be randomized to either a smartphone experimental group or patient-initiated follow up (usual care). As this study seeks to assess feasibility, the primary data will include (1) recruitment rates, (2) retention rates, and (3) adherence, measured through user engagement with the app.

Discussion: This pilot trial will be the first to evaluate a commercially available smartphone app for tobacco cessation in a hospitalized setting. Data generated by this study can be used for larger fully powered trials such as comparative effectiveness studies against apps developed by academics or health scientists based on behavioral theories, or cost-effectiveness analyses of mobile interventions.

Trial registration: ClinicalTrials.gov, NCT03538678 . Registered on 28 May 2018.

Keywords: Smartphone; Smoking cessation; Tobacco; Young adult.

Conflict of interest statement

Ethics approval and consent to participate

This study was approved by the University of Pittsburgh Institutional Review Board (PRO18010454). Study participants will provide written consent prior to participation. Any changes to the protocol or severe adverse events will be reported to the University of Pittsburgh Institutional Review Board.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) schedule of enrollment, interventions, and assessments
Fig. 2
Fig. 2
Patient participation flowchart for the Just Kwit study

References

    1. Soon P, Bastian B, Anderson RN, Collins JL, Jaffe HW. Potentially preventable deaths from the five leading causes of death — united states, 2008–2010. Morb Mortal Wkly Rep. 2014;63:369–74.
    1. U.S. Department of Health and Human Services. Preventing tobacco use among youth and young adults: a report of the Surgeon General. Atlanta; 2012. . Accessed 10 Apr 2018
    1. Fiore MC, Jaen CR, Baker TB, Bailey WC, Bennett G, Benowitz N, et al. A clinical practice guideline for treating tobacco use and dependence: 2008 update: a U.S. public health service report. Am J Prev Med. 2008;35:158–176. doi: 10.1016/j.amepre.2008.04.009.
    1. Shiffman S, Brockwell SE, Pillitteri JL, Gitchell JG. Use of smoking-cessation treatments in the United States. Am J Prev Med. 2008;34:102–111. doi: 10.1016/j.amepre.2007.09.033.
    1. Bader P, Travis HE, Skinner HA. Knowledge synthesis of smoking cessation among employed and unemployed young adults. Am J Public Health. 2007;97:1434–1443. doi: 10.2105/AJPH.2006.100909.
    1. Husten CG. Smoking cessation in young adults. Am J Public Health. 2007;97:1354–1356. doi: 10.2105/AJPH.2007.117358.
    1. Ling PM, Glantz SA. Why and how the tobacco industry sells cigarettes to young adults: evidence from industry documents. Am J Public Health. 2002;92:908–916. doi: 10.2105/AJPH.92.6.908.
    1. Bost ML. A descriptive study of barriers to enrollment in a Collegiate Health Assessment Program. J Community Health Nurs. 2005;22:15–22. doi: 10.1207/s15327655jchn2201_2.
    1. Sussman S. Effects of sixty six adolescent tobacco use cessation trials and seventeen prospective studies of self-initiated quitting. Tob Induc Dis. 2002;1:35. doi: 10.1186/1617-9625-1-1-35.
    1. PewResearchCenter. Mobile fact sheet. Internet Sci Tech. 2018;:1–8. .
    1. Abroms LC, Padmanabhan N, Thaweethai L, Phillips T. iPhone apps for smoking cessation: a content analysis. Am J Prev Med. 2011;40:279–285. doi: 10.1016/j.amepre.2010.10.032.
    1. Ubhi HK, Kotz D, Michie S, van Schayck OCP, Sheard D, Selladurai A, et al. Comparative analysis of smoking cessation smartphone applications available in 2012 versus 2014. Addict Behav. 2016;58:175–181. doi: 10.1016/j.addbeh.2016.02.026.
    1. Hoeppner BB, Hoeppner SS, Seaboyer L, Schick MR, Wu GWY, Bergman BG, et al. How smart are smartphone apps for smoking cessation? A content analysis. Nicotine Tob Res. 2016;18:1025–1031. doi: 10.1093/ntr/ntv117.
    1. Norman D. The design of everyday things. New York: Basic Books; 2002.
    1. Johnson J. Designing with the mind in mind : simple guide to understanding user interface design guidelines. San Francisco: Morgan Kaufmann; 2014.
    1. U.S. Department of Health and Human Services. Women and smoking: a report of the Surgeon General. Morb Mortal Wkly Rep. 2014;51:1–30.
    1. Leon AC, Davis LL, Kraemer HC. The role and interpretation of pilot studies in clinical research. J Psychiatr Res. 2011;45:626–629. doi: 10.1016/j.jpsychires.2010.10.008.
    1. Moore CG, Carter RE, Nietert PJ, Stewart PW. Recommendations for planning pilot studies in clinical and translational research. Clin Transl Sci. 2011;4:332–337. doi: 10.1111/j.1752-8062.2011.00347.x.
    1. Nielsen J. Quantitative studies: how many users to test? Freemont; 2006. . Accessed 20 Feb 2019.
    1. Lenert L, Munoz RF, Stoddard J, Delucchi K, Bansod A, Skoczen S, et al. Design and pilot evaluation of an internet smoking cessation program. J Am Med Informatics Assoc. 2003;10:16–20. doi: 10.1197/jamia.M1128.
    1. Scholtz J, Consolvo S. Toward a framework for evaluating ubiquitous computing applications. IEEE Pervasive Comput. 2004;3:82–88. doi: 10.1109/MPRV.2004.1316826.
    1. Healthcare Information and Management Systems Society . Selecting a mobile app: evaluating the usability of medical applications. 2012.
    1. 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;42:377–381. doi: 10.1016/j.jbi.2008.08.010.
    1. Ammenwerth E, Iller C, Mahler C. IT-adoption and the interaction of task, technology and individuals: a fit framework and a case study. BMC Med Inform Decis Mak. 2006;6:3. doi: 10.1186/1472-6947-6-3.
    1. Sheehan B, Lee Y, Rodriguez M, Tiase V, Schnall R. A comparison of usability factors of four mobile devices for accessing healthcare information by adolescents. Appl Clin Inform. 2012;3:356–366. doi: 10.4338/ACI-2012-06-RA-0021.

Source: PubMed

3
Abonner