Evidence map›Paper›PMID 39312291›Full record

ArticleJMIR research protocols2024

Chatbot-Led Support Combined With Counselor-Led Support on Smoking Cessation in China: Protocol for a Pilot Randomized Controlled Trial.

Xue Weng, Hua Yin, Kefeng Liu, Chuyu Song, Jiali Xie, Ningyuan Guo, Man Ping Wang

Registry-linked trialAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05777005 (Promoting Smoking Cessation in Campus Via Smoking Cessation Contest), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

NCT05777005 naunknown statusnot on this map

Promoting Smoking Cessation in Campus Via Smoking Cessation Contest: a Chatbot-based Smoking Cessation Intervention

TypeinterventionalSponsorBeijing Normal UniversityRan2023 to 2024Enrolled150ConditionsSmoking Cessation, Mobile HealthArms5A's/5R's advice, Brief leaflet on health warning and smoking cessation, Self-help smoking cessation booklet, Counselor-led individual support, Chatbot-led group support
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Xue Weng *Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University, Zhuhai, China.ORCID 0000-0002-9564-4284
Hua YinOffice of Clinical Research Administration, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.ORCID 0000-0002-0910-6245
Kefeng LiuPulmonary and Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.ORCID 0009-0002-8238-9082
Chuyu SongSchool of Sociology, Beijing Normal University, Beijing, China.ORCID 0009-0008-3566-3871
Jiali XieSchool of Sociology, Beijing Normal University, Beijing, China.ORCID 0009-0006-1000-5800
Ningyuan Guo *School of Nursing, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-1790-3244
Man Ping WangLKS Faculty of Medicine, School of Nursing, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-4000-2388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina has a large population of smokers, with half of them dependent on tobacco and in need of cessation assistance, indicating the need for mobile health (mHealth) to provide cessation support.

objectiveThe study aims to assess the feasibility and preliminary effectiveness of combining chatbot-led support with counselor-led support for smoking cessation among community smokers in China.

methodsThis is a 2-arm, parallel, assessor-blinded, pilot randomized controlled trial nested in a smoke-free campus campaign in Zhuhai, China. All participants will receive brief face-to-face cessation advice and group cessation support led by a chatbot embedded in WeChat. In addition, participants in the intervention group will receive personalized WeChat-based counseling from trained counselors. Follow-up will occur at 1, 3, and 6 months after treatment initiation. The primary smoking outcome is bioverified abstinence (exhaled carbon monoxide <4 parts per million or salivary cotinine <30 ng/mL) at 6 months. Secondary outcomes include self-reported 7-day point prevalence of abstinence, smoking reduction rate, and quit attempts. Feasibility outcomes include eligibility rate, consent rate, intervention engagement, and retention rate. An intention-to-treat approach and regression models will be used for primary analyses.

resultsParticipant recruitment began in March 2023, and the intervention began in April 2023. The data collection was completed in June 2024. The results of the study will be published in peer-reviewed journals and presented at international conferences.

conclusionsThis study will provide novel insights into the feasibility and preliminary effectiveness of a chatbot-led intervention for smoking cessation in China. The findings of this study will inform the development and optimization of mHealth interventions for smoking cessation in China and other low- and middle-income countries.

trial registrationClinicalTrials.gov NCT05777005; https://clinicaltrials.gov/study/NCT05777005. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/58636.

Indexed as

Smoking CessationAdultChinaCounselingCounselorsFemaleHumansMaleMiddle AgedPilot ProjectsTelemedicinecampuschatbotChinamHealthmobile phonesmoking cessation

Identifiers

PMID39312291
PMCPMC11459100

What Socratic holds

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LicenceCC BY
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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 Socratic graph.