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Smoking Cessation Coaching in High-Risk Situations: A Virtual Reality Study

L

Leiden University Medical Center (LUMC)

Status

Completed

Conditions

Smoking Cessation

Treatments

Behavioral: Attention control dialog: neutral topic
Behavioral: Lapse prevention dialog: Boost motivation and self-efficacy
Behavioral: Lapse prevention dialog: Identity-related positive self-talk
Behavioral: Lapse prevention dialog: Future-selves and implementation intentions

Study type

Interventional

Funder types

Other

Identifiers

NCT05654545
N22.013 METC-LDD
628.011.211 (Other Grant/Funding Number)

Details and patient eligibility

About

Smoking tobacco is an important preventable risk factor for chronic illnesses and premature death and is most prevalent among groups with a lower socio-economic position (SEP). High relapse rates show that smoking cessation interventions are often not sufficiently effective on the long-term. Potential reasons for this limited effectiveness are that these interventions are not tailored to lower-SEP smokers and do not provide sufficient support in situations when the (re)lapse risk is high; that is, high-risk situations (HRSs). A mobile phone application using an automated conversational agent could be a useful approach to promote long-term smoking cessation, as it can be tailored to lower-SEP smokers and provide support at any time of the day (also in HRSs). However, evidence on the effectiveness of this kind of applications is scarce and it is still unclear how automated conversational agents can effectively promote lapse prevention. Therefore, it is important to explore what type of lapse prevention strategies these conversational agents should use in HRSs and how these different types of support are experienced by smokers.

This virtual reality (VR) experiment will examine the preliminary effectiveness and usability of a conversational agent that supports smokers in personal HRSs. More specifically, the investigators primarily aim to examine whether the three different lapse prevention dialogs increase abstinence self-efficacy in adult smokers from different SEP groups during simulated HRSs, compared to a neutral dialog (i.e., control condition). In addition, the investigators examine the effect of the lapse prevention dialogs, compared to the neutral dialog, in simulated HRSs on subjective craving and affect. Finally, the investigators examine how adult smokers from different SEP groups experience the personalized support of a simulated conversational agent in simulated HRSs.

VR will be used to expose smokers to their personal HRSs and let them interact with a conversational agent via a simulated mobile phone. Using computer-based VR technology, three-dimensional environments can be created based on environments that smokers encounter in their daily lives (e.g., their living room or the train station from where they travel to work). This way, controlled but at the same time natural-looking environments can be used to expose smokers to their personal HRSs and measure their responses in this situation.

Enrollment

25 patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • 18 years or older
  • Being able to read and understand Dutch
  • Smoking ≥ 10 cigarettes a day
  • Intention to quit smoking sometime in the future
  • Being able to wear a VR helmet for approximately 30 minutes, with breaks in between
  • Willingness to take and send videos and audio of three locations where the participant is most likely to smoke (i.e., highest chance of smoking when in the environment)

Exclusion criteria

  • Visual problems (e.g., limited visibility without glasses) that affect viewing VR environments (based on self-report)
  • Currently involved in smoking cessation activity or therapy (based on self-report)
  • When patients are deemed unfit to participate (due to, for example, psychological problems or medication). This decision is left to the discretion of the responsible researcher.

Trial design

Primary purpose

Prevention

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

25 participants in 1 patient group

Chatbot coaching
Other group
Description:
Due to the single-group design there will only be one arm. All participants will be exposed to four different chatbot relapse prevention coaching dialogs, which are presented in a random order.
Treatment:
Behavioral: Lapse prevention dialog: Boost motivation and self-efficacy
Behavioral: Lapse prevention dialog: Identity-related positive self-talk
Behavioral: Lapse prevention dialog: Future-selves and implementation intentions
Behavioral: Attention control dialog: neutral topic

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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