Use Determinants of Smoking Cessation App

Not Applicable

Completed

• Conditions: CBT; Smoking Cessation; Engagement; Technology Acceptance Model
• Interventions: Device: Kwit SAS - smoking cessation app

• Registration Number: NCT05318651
• Lead Sponsor: Paris Nanterre University

Brief Summary

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.

Detailed Description

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.

Study Timeline

• Study First Submitted: 2022-03-09
• Study Start: 2022-03-21
• Study First Submitted QC: 2022-04-01
• Study First Posted: 2022-04-08
• Primary Completion: 2022-06-21
• Status Verified: 2022-08
• Study Completion: 2022-08-08
• Last Update Submitted: 2022-08-09
• Last Update Posted: 2022-08-12

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 255

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
mobile app users	Kwit SAS - smoking cessation app	-

Primary Outcome Measures

Name	Time	Method
First Use	Day 1 - First use	The ratio of people accessing the app after giving them access to it.
Mobile App Intention Use (MAIU):	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 : 1. In the next week; 2. In the next month
Mobile App Satisfaction assessment (MAS):	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).
Mobile App Sustain Use (MASU)	90 days post firs use of the mobile apps	The ratio of times the application is accessed per week..

Secondary Outcome Measures

Name	Time	Method
Craving intensity (CI)	Day 90	The visual analog scale or VAS was used to measure the average craving intensity .
Behavior change : Smoking cessation	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)?
Smoking profile (SP)	1 day before the first use of the mobile app	The degree of dependence is assessed by the Fagerström Test, which is widely used.

Trial Locations

Locations (1)

Universite Paris Nanterre, Epscp; 🇫🇷 Paris La Defense, Nanterre, France