Efficacy of AI based Conversational chatbot as an adjuvant to conventional Psycotherapy in Tobacco cessation among Tobacco users-A Randomised Control Trial

Aim To determine the efficacy of an AI-based conversational chatbot as an adjuvant to

conventional psychotherapy in tobacco cessation among tobacco users

OBJECTIVES

1 To estimate the salivary cotinine levels among tobacco users before and after

psychotherapy

2 To estimate the salivary cotinine level among tobacco users after adjuvant AI-based

conversational chatbot

3 To correlate/compare the salivary cotinine levels in tobacco users who have received

only psychotherapy Vs those who received adjuvant AI-based conversational

chatbot

RESEARCH QUESTION  Is there any alteration in the salivary cotinine levels of

participants in the psychotherapy group vs AI-based conversational chatbot at baseline and

at a 2-month interval

POPULATIONS Tobacco users

INTERVENTION AI-based conversational chatbot

COMPARISON Salivary cotinine levels of the participants in the psychotherapy group

and intervention group

OUTCOME Change in the salivary cotinine levels and nicotine dependence level

among tobacco users at baseline and 2-month intervals

The study includes two groups of tobacco users  Group A will receive conventional psychotherapy while Group B will receive psychotherapy along with the AI chatbot intervention Salivary cotinine levels will be measured at baseline and at a 2 month interval to assess biochemical changes in nicotine exposure. The primary outcome is the change in salivary cotinine levels between the two groups Based on previous studies (mean IS 12.32 SD is 7.5), with alpha is 0.05 and a precision of 3 the sample size was calculated using Cochran s formula yielding 24 participants per group After adjusting for a 10% dropout rate the final sample size is 27 per group totaling 54 participants the patients will be followed for 2 months and post cotinine levels will be taken