Evidence map›Paper›PMID 36969982›Full record

ArticleTobacco induced diseases2023

Effect of mobile interventions with nicotine replacement therapy sampling on long-term smoking cessation in community smokers: A pragmatic randomized clinical trial.

Ningyuan Guo, Tzu Tsun Luk, Yongda Socrates Wu, Ziqiu Guo, Jessica Chi Lok Chu, Yee Tak Derek Cheung, Ching Han Helen Chan, Tyrone Tai On Kwok, Victor Yiu Lun Wong, Carlos King Ho Wong and 5 more

Registry-linked trialOpen access · goldFull text read
In one paragraph

Article in Tobacco induced diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04001972 (Intervention Combining Interactive Communication Technologies and Nicotine Replacement Therapy Sampling for Proactively Recruited Smokers in Smoking Hotspots), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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.

NCT04001972 nacompletednot on this map

Intervention Combining Interactive Communication Technologies and Nicotine Replacement Therapy Sampling for Proactively Recruited Smokers in Smoking Hotspots: a Pragmatic Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2019 to 2021Enrolled664ConditionsSmoking Cessation, Tobacco Use CessationArmsBrief advice (AWARD model), NRT-S, IM Apps and Chatbot, Regular SMS message
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

15 authors at 5 institutions in 3 countries.

Ningyuan GuoSchool of Nursing, Shanghai Jiao Tong University, Shanghai, China.
Tzu Tsun LukSchool of Nursing, The University of Hong Kong, Hong Kong, China.
Yongda Socrates WuSchool of Nursing, The University of Hong Kong, Hong Kong, China.
Ziqiu GuoSchool of Nursing, The University of Hong Kong, Hong Kong, China.
Jessica Chi Lok ChuSchool of Nursing, The University of Hong Kong, Hong Kong, China.
Yee Tak Derek CheungSchool of Nursing, The University of Hong Kong, Hong Kong, China.
Ching Han Helen ChanTung Wah Group of Hospitals Integrated Centre on Smoking Cessation, Hong Kong, China.
Tyrone Tai On KwokTechnology-Enriched Learning Initiative, The University of Hong Kong, Hong Kong, China.
Victor Yiu Lun WongTechnology-Enriched Learning Initiative, The University of Hong Kong, Hong Kong, China.
Carlos King Ho WongDepartment of Family Medicine and Primary Care, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China.
Jung Jae LeeSchool of Nursing, The University of Hong Kong, Hong Kong, China.
Yu Kwong KwokSchool of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China.
Kasisomayajula ViswanathCenter for Community-Based Research, Dana-Farber Cancer Institute, Boston, United States.
Tai Hing LamSchool of Public Health, The University of Hong Kong, Hong Kong, China.
Man Ping WangSchool of Nursing, The University of Hong Kong, Hong Kong, China.
University of Hong Kong · HKBoston University · USChinese University of Hong Kong · HKShanghai Jiao Tong University · CNTung Wah Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMobile interventions enable personalized behavioral support that could improve smoking cessation (SC) in smokers ready to quit. Scalable interventions, including unmotivated smokers, are needed. We evaluated the effect of personalized behavioral support through mobile interventions plus nicotine replacement therapy sampling (NRT-S) on SC in Hong Kong community smokers.

methodsA total of 664 adult daily cigarette smokers (74.4% male, 51.7% not ready to quit in 30 days) were proactively recruited from smoking hotspots and individually randomized (1:1) to the intervention and control groups (each, n=332). Both groups received brief advice and active referral to SC services. The intervention group received 1-week NRT-S at baseline and 12-week personalized behavioral support through SC advisor-delivered Instant Messaging (IM) and a fully automated chatbot. The control group received regular text messages regarding general health at a similar frequency. Primary outcomes were carbon monoxide-validated smoking abstinence at 6 and 12 months post-treatment initiation. Secondary outcomes included self-reported 7-day point-prevalence and 24-week continuous abstinence, quit attempts, smoking reduction, and SC service use at 6 and 12 months.

resultsBy intention-to-treat, the intervention group did not significantly increase validated abstinence at 6 months (3.9% vs 3.0%, OR=1.31; 95% CI: 0.57-3.04) and 12 months (5.4% vs 4.5%, OR=1.21; 95% CI: 0.60-2.45), as were self-reported 7-day point-prevalence abstinence, smoking reduction, and SC service use at 6 and 12 months. More participants in the intervention than control group made a quit attempt by 6 months (47.0% vs 38.0%, OR=1.45; 95% CI: 1.06-1.97). Intervention engagement rates were low, but engagement in IM alone or combined with chatbot showed higher abstinence at 6 months (adjusted odds ratios, AORs=4.71 and 8.95, both p<0.05).

conclusionsPersonalized behavioral support through mobile interventions plus NRT-S did not significantly improve abstinence in community smokers compared to text only messaging. The suboptimal intervention engagement needs to be addressed in future studies.

trial registrationClinicalTrials.gov NCT04001972.

Indexed as

community smokermessagingmHealthrandomized controlled trialsmoking cessation

Identifiers

PMID36969982
PMCPMC10037427
OpenAlexW4360849299

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read96
Read underepoch 390

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.