Online Lapse Management Intervention

Overview

The purpose of the trial is to test the adjunctive effect of adding a lapse management system to a best practices web- and mobile smoking cessation program.

Full Title of Study: “Testing the Efficacy of a Lapse Management System in an Online Smoking Cessation”

Study Type

  • Study Type: Interventional
  • Study Design
    • Allocation: Randomized
    • Intervention Model: Parallel Assignment
    • Primary Purpose: Prevention
    • Masking: None (Open Label)
  • Study Primary Completion Date: October 1, 2022

Detailed Description

Background: Web- and mobile phone health behavior change interventions, including smoking cessation programs, offer great promise, but little is known about the components that may add to their effect. Objectives: To assess tobacco abstinence associated with an adjunctive lapse management system combined with a best-practices web- and mobilephone based smoking cessation intervention. The investigators hypothesize that a program that includes the lapse management system will yield greater efficacy than a program that does not include such a component. Methods: The investigators propose a 3-arm RCT with 1500 adult study participants that all receive a best practices web-based smoking cessation program designed for use on snart phones (web-app). Participants are randomized to either the web-app only, the web-app plus a web-based lapse management system, or web-app plus a SMS-based lapse management system. The lapse management system will be based on the day-to-day logging of target behavior and providing just-in-time therapy to clients reporting a lapse. In the two versions of the lapse management system the logging of target behavior is done by asking a question about smoking status by web or SMS. Measures: The primary outcome is 7-day point prevalence tobacco abstinence (as assessed at the 1- and 6-months follow-up). Potential predictors, moderators, and mediators of abstinence will also be examined. Benefits: This protocol describes the first RCT that assesses the incremental efficacy of adding a lapse management system to an online smoking cessation intervention. These interventions constitute a cost-effective means to reach smokers who want to quit. By seeking to identify beneficial adjunctive mechanisms, their efficacy may be improved, which can make a substantial public health impact.

Interventions

  • Other: Endre: a digital smoking cessation counsellor
    • A comprehensive 25-session intervention delivered by web, e-mail and SMS-text messages. Sessions are released one each day for 18 days, and then every second day for 14 days. Intervention content is tailored based on user input and individual usage pattern. The intervention is described in detail in Holter, Johansen & Brendryen (2016). How a fully automated eHealth program simulates three therapeutic processes: A case study. Journal of Medical Internet Research 18 (6).
  • Other: Lapse management system triggered from web-page
    • The lapse management system is based on a day-to-day logging of the target behavior (smoking). This logging goes on for four weeks after an initial quit attempt. The current version of the system logs by asking the participant about their smoking status every time they log on to “Endre” (the digital smoking cessation counsellor). Participants that report a lapse is routed to a fully automated counselling session delivered by web.
  • Other: Lapse management system triggered by SMS-textmessage
    • The lapse management system is based on a day-to-day logging of the target behavior (smoking). This logging goes on for four weeks after an initial quit attempt. The current version of the system logs by asking the participant about their smoking status in a textmessage (SMS) sent each evening. Participants that report a lapse, receives a new SMS with a link to a fully automated counselling session delivered by web.

Arms, Groups and Cohorts

  • Active Comparator: Standard web-application
    • Endre: a digital smoking cessation counsellor
  • Experimental: Web-based lapse management system
    • Endre: a digital smoking cessation counsellor + Lapse management system triggered from web-page
  • Experimental: SMS & web-based lapse management system
    • Endre: a digital smoking cessation counsellor + Lapse management system triggered by SMS-textmessage

Clinical Trial Outcome Measures

Primary Measures

  • 7 day point prevalence abstinence from cigarettes
    • Time Frame: measured at six months post cessation
    • no tobacco smoking during the last seven days

Secondary Measures

  • 7 day point prevalence abstinence from cigarettes
    • Time Frame: measured at one month post cessation
    • no tobacco smoking during the last seven days
  • 7 day point prevalence abstinence from any nicotine products
    • Time Frame: measured at one month post cessation
    • no use of products containing nicotine (smoking tobacco, snuff, e-cigarettes, nicotine replacement products etc) during the last seven days
  • 7 day point prevalence abstinence from any nicotine products
    • Time Frame: measured at six months post cessation
    • no use of products containing nicotine (smoking tobacco, snuff, e-cigarettes, nicotine replacement products etc) during the last seven days

Participating in This Clinical Trial

Inclusion Criteria

  • 18 year or older – beeing a current smoker – determined to or considering to quit smoking – provide valid e-mail address – provide valid norwegian cell phone number – complete a baseline questionnaire – complete a ten day run-in period (preparation phase) – reporting an initial quit attempt ("yes, today I have quit smoking") Exclusion Criteria:

-

Gender Eligibility: All

Minimum Age: 18 Years

Maximum Age: N/A

Are Healthy Volunteers Accepted: Accepts Healthy Volunteers

Investigator Details

  • Lead Sponsor
    • University of Oslo
  • Collaborator
    • The Research Council of Norway
  • Provider of Information About this Clinical Study
    • Principal Investigator: Håvar Brendryen, Senior researcher – University of Oslo
  • Overall Official(s)
    • Håvar Brendryen, PhD, Principal Investigator, University of Oslo
  • Overall Contact(s)
    • Håvar Brendryen, PhD, +47 99 52 17 14, brendryen@gmail.com

References

Holter MT, Johansen A, Brendryen H. How a Fully Automated eHealth Program Simulates Three Therapeutic Processes: A Case Study. J Med Internet Res. 2016 Jun 28;18(6):e176. doi: 10.2196/jmir.5415.

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