Evidence map›Paper›PMID 42060580›Full record

SynthesisJournal of medical Internet research2026

Use of Mobile Technologies for Smoking Cessation Among Smokers and Former Smokers: Systematic Review.

Meret Lakeberg, Falk Hoffmann, Jannik Ohmes, Birte Berger-Höger, Jasmin Helbach

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Meret LakebergDepartment of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, Oldenburg, 26129, Germany, +49 441 798 2206.ORCID http://orcid.org/0009-0006-1200-0616
Falk HoffmannDepartment of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, Oldenburg, 26129, Germany, +49 441 798 2206.ORCID http://orcid.org/0000-0003-0182-5373
Jannik OhmesDepartment of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, Oldenburg, 26129, Germany, +49 441 798 2206.ORCID http://orcid.org/0009-0008-0297-4008
Birte Berger-HögerLeibniz Science Campus, Digital Public Health Bremen, Bremen, Germany.ORCID http://orcid.org/0000-0002-4704-4401
Jasmin HelbachDepartment of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, Oldenburg, 26129, Germany, +49 441 798 2206.ORCID http://orcid.org/0000-0003-1112-8782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In an era of widespread mobile phone usage, digital public health interventions offer a new cost-effective way of improving public health. In the context of smoking cessation, studies indicate that mobile technologies have the potential to support individuals to quit smoking. However, there is no systematic synthesis of how often they are used by smokers and former smokers. Objective: The aim of this study is to assess the prevalence of mobile technology use for smoking cessation among smokers and former smokers and to examine their intention to use. Methods: MEDLINE via PubMed, Embase, and PsycInfo were searched from inception to February 13, 2025. Studies were eligible if they reported how often smokers and former smokers in high-income countries used mobile technologies for smoking or vaping cessation. Study quality was assessed using the Joanna Briggs Institute tool for prevalence studies. Data synthesis was conducted narratively. Results: Twenty-seven cross-sectional studies were included, 25 on smoking and 2 on vaping cessation. The 25 studies on smoking cessation collected data between 2005 and 2024 and comprised 117 to 27,323 participants (mean age 19.9-50.3 years; n=8). Lifetime prevalences of mobile technology use for smoking cessation ranged between 2.5% and 35.9% (n=8), depending on technology type and population. Period prevalences (0%-12%; n=4) and point prevalences (1.1%-10.9%; n=11) were generally lower. Regardless of the prevalence type, the internet was the most frequently used technology (0.8%-35.9%; n=14). Intention to use mobile technologies for smoking cessation ranged from 19.5% for Twitter to 46.7% for websites (n=2). Of the 2 studies on vaping cessation, 1 presented lifetime prevalence (1.1%-17.3%), while the other presented period prevalence (5.5%-6.3%). The intention to use mobile technologies for vaping cessation ranged from 9.7% for web-based programs to 34.6% for apps (n=1). Based on the risk of bias assessment, study quality was heterogeneous, with frequent limitations in sampling procedures, reporting, and reliance on self-reported measures. Conclusions: This review provides novel insights into the role of mobile technologies in smoking cessation. Evidence indicates that the prevalence of mobile technology use for smoking cessation is low and that disparities in access and engagement exist. However, there is a high intention to use such tools. Therefore, efforts should focus on delivering existing evidence-based tools rather than developing new ones. Included studies were characterized by high methodological variability and poor reporting, so the results must be interpreted with caution. Overall, despite the widespread availability of mobile technologies to support smoking cessation, research on their utilization remains limited.

Indexed as

Cell PhoneMobile ApplicationsSmokersSmoking CessationCross-Sectional StudiesHumansdigital healthmHealthquitting smokingsmoking cessationtobacco

Identifiers

PMID42060580
PMCPMC13132022

What Socratic holds

Textmetadata
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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.