ArticleBMC medical informatics and decision making2019
Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@).
Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03445507 (Effectiveness of a Chat Bot for Smoking Cessation), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled 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.
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.
Effectiveness of a Chat Bot for Smoking Cessation: a Pragmatic Trial in Primary Care.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Reporting Quality of AI Intervention in Randomized Controlled Trials in Primary Care: Systematic Review and Meta-Epidemiological Study.Journal of medical Internet research · 2025Pooled it
- Strategies to improve smoking cessation rates in primary care.The Cochrane database of systematic reviews · 2021Pooled it
- Language complexity of patient-physician chat communication on hypertension control: results of the cluster-randomised PIA study.BMC medicine · 2025Trial
- Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care.JMIR mHealth and uHealth · 2022Trial
- Article
- The role of chatbots and virtual assistants in enhancing tobacco cessation counselling.Frontiers in digital health · 2025Review
- A systematic review of chatbot-assisted interventions for substance use.Frontiers in psychiatry · 2024Article
- Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.JMIR cancer · 2021Review
- Article
- Development of a Chatbot Program for Follow-Up Management of Workers' General Health Examinations in Korea: A Pilot Study.International journal of environmental research and public health · 2021Article
- Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications technologies are the main factors motivating this project. Thus, the purpose of this study is to assess the effectiveness of an intervention that helps people cease smoking and increase their nicotine abstinence rates in the long term via a chat-bot, compared to usual practice, utilizing a chemical validation at 6 months.
methodsDesign: Randomized, controlled, multicentric, pragmatic clinical trial, with a 6-month follow-up.
settingHealthcare centers in the public healthcare system of the Community of Madrid (Madrid Regional Health Service).
participantsSmokers > 18 years of age who attend a healthcare center and accept help to quit smoking in the following month. N = 460 smokers (230 per arm) who will be recruited prior to randomization. Intervention group: use of a chat-bot with evidence-based contents to help quit smoking. CONTROL GROUP: Usual treatment (according to the protocol for tobacco cessation by the Madrid Regional Health Service Main variable: Continuous nicotine withdrawal with chemical validation (carbon monoxide in exhaled air). Intention-to-treat analysis. Difference between groups in continuous abstinence rates at 6 months with their corresponding 95% confidence interval. A logistic regression model will be built to adjust for confounding factors.
resultsFirst expected results in January 2020. DISCUSSION: Providing science-based evidence on the effectiveness of clinical interventions via information technologies, without the physical presence of a professional, is essential. In addition to being more efficient, the characteristics of these interventions can improve effectiveness, accessibility, and adherence to treatment. From an ethics perspective, this new type of intervention must be backed by scientific evidence to circumvent pressures from the market or particular interests, improve patient safety, and follow the standards of correct practices for clinical interventions.
trial registrationClinicalTrials.gov, reference number NCT03445507.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.