Evidence map›Paper›PMID 40309319›Full record

ReviewFrontiers in digital health2025

The role of chatbots and virtual assistants in enhancing tobacco cessation counselling.

Deepika V, Praveen S Jodalli, Avinash B R

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Deepika VDepartment of Public Health Dentistry, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Praveen S JodalliDepartment of Public Health Dentistry, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Avinash B RDepartment of Public Health Dentistry, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco remains one of the leading global public health threats, causing over 8 million deaths worldwide each year. Existing tobacco cessation strategies must be complemented with innovative approaches to enhance their effectiveness. This paper is intended to review the state and success of chatbots and virtual assistants in the delivery of tobacco cessation counselling services. Comprehensive literature search was performed on various databases including PubMed, SCOPUS, EMBASE, COCHRANE Library, and ScienceDirect using relevant keywords concerning tobacco cessation as well as artificial intelligence. The review is limited to studies published between March 2015 and March 2024 examining only the role of chatbots and virtual assistants in smoking cessation. The analysis of 31 studies found that chatbots and virtual assistants deliver continuous support, personalized interaction, and increased accessibility, which collectively boost user engagement. Their anonymity from other means of online counselling has significantly increased the willingness of people who want to stop smoking. The development of information technology has led to the advent of AI-based chatbots and virtual assistants as a promising novel tool for the tobacco cessation process, providing personalized, adaptive, and scalable support to web-based users. Personalized approaches improve the chances of success in quitting smoking and represent a major advancement of cessation strategies.

Indexed as

artificial intelligencechatbotdigital health innovationhealth promotionsmoking cessation activitiestobacco cessationtobacco controlvirtual assistant (VA)

Identifiers

PMID40309319
PMCPMC12040952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.