Implement and Evaluate CARE (Comprehensive AI-powered ConveRsational IntErface to Quit Tobacco) to improve cessation among tobacco users
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 426
- 试验地点
- 3
- 主要终点
- The primary outcomes will be successful quit attempts, and increased intention to quit among tobacco users
研究概览
简要总结
Rationale: Despite knowing the health benefits of tobacco cessation, there is a lack of AI-based cessation interventions, that address both smoking and smokeless tobacco (SLT) in India. Existing digital platforms often fail to comply with clinical cessation guidelines and underutilize features to facilitate active user engagement.
Novelty: The proposed Generative AI-based conversational interface through CARE will offer tailored cessation services including information on health risks, motivate users to quit, offer effective quitting strategies and reduce relapse through patient-supported networks. The key features will include, personalized quit plans, track quitting progress, milestones, behavioural support, reminders, and motivational messages. The interface will cater to both smoking and SLT users, address rural and urban users’ needs, and provide services in regional languages.
Objectives: To understand the facilitators and barriers tobacco users face in quitting and using digital interventions in the past. Based on this information, develop a Generative AI-based conversational interface to facilitate successful quit attempts.
Methods: The study will employ a pre-post, quasi-experimental single-group design without control, using a mixed-methods approach. Participants will be current users of tobacco in any form seeking assistance from government tobacco cessation services. We will use the adapted version of the DISCOVER conceptual framework for the designing, development, implementation and evaluation of an AI-based conversational interface.
Expected outcomes: The primary outcomes will be successful quit attempts (tobacco cessation 3 months ago, who reported ever tobacco use), and increased intention to quit (current tobacco user thinking about quitting within next 3 months, 6 months or so) among tobacco users and the secondary outcome will be acceptability, usability and user engagement with the AI-based conversational interface.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 盲法
- None
入排标准
- 年龄范围
- 18.00 Year(s) 至 99.00 Year(s)（—）
- 性别
- All
入选标准
- •Aged 18 years and above 2) Individuals using any form of tobacco (smoking, smokeless or dual-use) and availing services at the TCC 3) Individuals using tobacco for the last 6 months 4) Individuals interested in quitting 5) Individual owns an Android/iOS Smartphone (with compatible versions eg android 11/+ or iOS 13/+) 6) Individuals have basic digital skills 7) Individual having permanent contact information 8) Participants with informed consent to participate in the study.
排除标准
- •Current enrollment in another digital tobacco cessation programme -No Informed consent to participate.
结局指标
主要结局
The primary outcomes will be successful quit attempts, and increased intention to quit among tobacco users
时间窗: Successful Quit attempts: tobacco cessation 3 months ago, who reported ever tobacco use | Increased intention to quit current tobacco user thinking about quitting within next 3 months, 6 months or so
次要结局
- Secondary outcome will be increased acceptability, usability and user engagement with an AI-based conversational interface(6 months)
研究者
Prof Monika Arora
Public Health Foundation of India