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OpenTrials
Completed

NCT Number: NCT05318651

Use Determinants of Smoking Cessation App

The development of mobile applications ("mobile apps") is steadily increasing and appears to be a promising treatment method to help people change unwanted behaviors or maintain a regular relationship with the medical system. Mobile apps aimed at smoking cessation have been shown to be effective. However, if a treatment is not used regularly, it will not have the desired effect. The main objective of this study is to identify what makes a person decide to use a smoking cessation app and to do so regularly. The second objective is to determine what is necessary to achieve long-term change with a mobile app.

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Key information

Conditions

Smoking Cessation Behavior CBT Engagement Health Behavior Technology Acceptance Model

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Universite Paris Nanterre, Epscp

La Defense, Nanterre, 92001, France

About this study

Despite the significant decrease in tobacco consumption in France (30% in 2000 vs. 25.4% in 2018), the prevalence of smokers aged 18 to 75 years is still a public issue. Among the new solutions proposed, mobile applications ("mobile apps") seem to be a promising treatment modality. Several advantages to their use are recognized for patients, health professionals and the health system itself. Mobile applications allow accessibility to care and information, the possibility of transposing several proven effective therapeutic principles, the possibility of integrating certain forms of information transmission such as messaging, behavioural feedback and audiovisual media.

Although mobile app development is a growing market, knowledge about the determinants of intention to use this type of technology is very limited, especially for smoking cessation apps. The investigators propose a theoretical model to examine what determines the regular use of mobile apps for smoking cessation among those who want to quit. The investigators use the TAMII model and the operational variables used in a more general study on e-health applications. A chronological organisation based on a three-part behavioural model (antecedent, target behaviour and outcome) is added to the TAMII model. The main objective is to identify the factors of Mobila App Sustain Use (MASU). All definitions of TAM-II will be used : perceived usefulness (PU), perceived ease of use (PEOU) and social norm (SN), as well as the definitions proposed by Choi et al (2014) on the predictors of PU, PEOU and SN.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Participants must meet four inclusion criteria for the study:

Inclusion criteria

  • Age: Be 18 years of age or older,
  • Smoking Status: consider themselves an active smoker
  • Motivation to quit: be willing to quit smoking, in the short and medium term.
  • Agreement to participate: They must also agree to participate in the study. They will have read the information note where the procedure is described; the researchers presented and their rights to withdraw from the study are recalled.

Exclusion criteria

  • Participants must have a smartphone with an iOS or Android operating system
  • Access to the internet to complete the questionnaires
  • Download the application and receive the updates it offers.

Treatment and study plan

Kwit SAS - smoking cessation app

Device

Kwit is a mobile app for smoking cessation. Different CBT techniques are used by the app already been proved as effective : Case analysis craving tool, Achievements badges,Diary, Goal (outcome) setting, A 9-steps preparation program, psychological education, Emotional monitoring, Access to groups on social networks, different strategies ( NRT/water/meditation), Motivational cards.

Primary outcomes

  1. First Use

    Time frame: Day 1 - First use

    The ratio of people accessing the app after giving them access to it.

  2. Mobile App Sustain Use (MASU)

    Time frame: 90 days post firs use of the mobile apps

    The ratio of times the application is accessed per week..

  3. Mobile App Intention Use (MAIU):

    Time frame: Day 15

    Questionaire : please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of :

    • In the next week
    • In the next month

  4. Mobile App Intention Use (MAIU):

    Time frame: Day 30

    Questionaire : please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of :

    • In the next week
    • In the next month

  5. Mobile App Intention Use (MAIU):

    Time frame: Day 60

    Questionaire : please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of :

    • In the next 15 days
    • In the next month

  6. Mobile App Intention Use (MAIU):

    Time frame: Day 90

    Questionaire : Please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of :

    • In the next week
    • In the next month

  7. Mobile App Satisfaction assessment (MAS):

    Time frame: Day 15

    The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5 (25).This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807)

  8. Mobile App Satisfaction assessment (MAS):

    Time frame: Day 30

    The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5 (25).This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807)

  9. Mobile App Satisfaction assessment (MAS):

    Time frame: Day 60

    The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5 (25).This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807)

  10. Mobile App Satisfaction assessment (MAS):

    Time frame: Day 90

    The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5.This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807).

Secondary outcomes

  1. Smoking profile (SP)

    Time frame: 1 day before the first use of the mobile app

    The degree of dependence is assessed by the Fagerström Test, which is widely used.

  2. Craving intensity (CI)

    Time frame: 1 day before before the first use of the mobile app

    The visual analog scale or VAS was used to measure the average craving intensity .

  3. Craving intensity (CI)

    Time frame: Day 15

    The visual analog scale or VAS was used to measure the average craving intensity .

  4. Craving intensity (CI)

    Time frame: Day 30

    The visual analog scale or VAS was used to measure the average craving intensity .

  5. Craving intensity (CI)

    Time frame: Day 60

    The visual analog scale or VAS was used to measure the average craving intensity .

  6. Craving intensity (CI)

    Time frame: Day 90

    The visual analog scale or VAS was used to measure the average craving intensity .

  7. Behavior change : Smoking cessation

    Time frame: Day 15

    Self-reported 15-day point prevalence smoking status. Since your first use of the app have you smoked a cigarette (even a puff)?

  8. Behavior change : Smoking cessation

    Time frame: Day 30

    Self-reported 30-day point prevalence smoking status. Since your first use of the app have you smoked a cigarette (even a puff)?

  9. Behavior change : Smoking cessation

    Time frame: Day 60

    Self-reported 60-day point prevalence smoking status. Since your first use of the app have you smoked a cigarette (even a puff)?

  10. Behavior change : Smoking cessation

    Time frame: Day 90

    Self-reported 90-day point prevalence smoking status. Since your first use of the app have you smoked a cigarette (even a puff)?

Sponsors and collaborators

Lead sponsor

Paris Nanterre University

Other

Registry information

Official study title

Determinants of Use of Mobile Apps for Smoking Cessation

Important dates

Study start
2022
Primary completion
2022
Study completion
2022
First posted
Apr 8, 2022
Registry last updated
Aug 12, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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