Evidence map›Paper›PMID 37505802›Full record

SynthesisJournal of medical Internet research2023

Effectiveness of eHealth Smoking Cessation Interventions: Systematic Review and Meta-Analysis.

Yichen E Fang, Zhixian Zhang, Ray Wang, Bolu Yang, Chen Chen, Claudia Nisa, Xin Tong, Lijing L Yan

Erratum issuedOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
8.4field-weighted citation impact, top 2% 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.

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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Yichen E FangGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0001-7323-2716
Zhixian ZhangGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0009-0008-8823-1124
Ray WangGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0009-0003-5922-3831
Bolu YangGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0009-0006-8178-0951
Chen ChenDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.ORCID 0000-0003-0167-6152
Claudia NisaGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-8351-6402
Xin TongGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-8037-6301
Lijing L YanGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-3029-0462
Duke Kunshan University · CNDuke University · USWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid advancements in eHealth and mobile health (mHealth) technologies have driven researchers to design and evaluate numerous technology-based interventions to promote smoking cessation. The evolving nature of cessation interventions emphasizes a strong need for knowledge synthesis.

objectiveThis systematic review and meta-analysis aimed to summarize recent evidence from randomized controlled trials regarding the effectiveness of eHealth-based smoking cessation interventions in promoting abstinence and assess nonabstinence outcome indicators, such as cigarette consumption and user satisfaction, via narrative synthesis.

methodsWe searched for studies published in English between 2017 and June 30, 2022, in 4 databases: PubMed (including MEDLINE), PsycINFO, Embase, and Cochrane Library. Two independent reviewers performed study screening, data extraction, and quality assessment based on the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework. We pooled comparable studies based on the population, follow-up time, intervention, and control characteristics. Two researchers performed an independent meta-analysis on smoking abstinence using the Sidik-Jonkman random-effects model and log risk ratio (RR) as the effect measurement. For studies not included in the meta-analysis, the outcomes were narratively synthesized.

resultsA total of 464 studies were identified through an initial database search after removing duplicates. Following screening and full-text assessments, we deemed 39 studies (n=37,341 participants) eligible for this review. Of these, 28 studies were shortlisted for meta-analysis. According to the meta-analysis, SMS or app text messaging can significantly increase both short-term (3 months) abstinence (log RR=0.50, 95% CI 0.25-0.75; I

conclusionsOur review of 39 randomized controlled trials found that recent eHealth interventions might promote smoking cessation, with mHealth being the dominant approach. Despite their success, the effectiveness of such interventions may diminish with time. The design of more personalized interventions could potentially benefit future studies.

trial registrationPROSPERO CRD42022347104; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=347104.

Indexed as

Smoking CessationTelemedicineText MessagingHealth BehaviorHumansSmokingdata extractiondesigndevelopmenteffectivenesseHealthelectronic healthmeta-analysismobile healthmobile phonescreeningsmokingsmoking cessationsystematic reviewtechnology-assisteduser

Identifiers

PMID37505802
PMCPMC10422176
OpenAlexW4366964475

What Socratic 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 Socratic graph.