Evidence map›Paper›PMID 38376901›Full record

Trial reportJournal of medical Internet research2024

Comparing the Effectiveness of the Blended Delivery Mode With the Face-to-Face Delivery Mode of Smoking Cessation Treatment: Noninferiority Randomized Controlled Trial.

Lutz Siemer, Marcel E Pieterse, Somaya Ben Allouch, Marloes G Postel, Marjolein G J Brusse-Keizer

Open access · goldAbstract readEquivalence TrialRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 4 institutions in 1 country.

Lutz SiemerSchool of Social Work, Saxion University of Applied Sciences, Enschede, Netherlands.ORCID 0000-0003-3019-9113
Marcel E PieterseDepartment of Psychology, Health and Technology, Centre for eHealth & Well-being Research - Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.ORCID 0000-0002-6900-3088
Somaya Ben AllouchDigital Life Research Group, Amsterdam University of Applied Science, Amsterdam, Netherlands.ORCID 0000-0002-3502-4016
Marloes G PostelResearch Group Technology, Health & Care, Saxion University of Applied Sciences, Enschede, Netherlands.ORCID 0000-0002-4027-6867
Marjolein G J Brusse-KeizerMedical School Twente, Medisch Spectrum Twente, Enschede, Netherlands.ORCID 0000-0003-1781-5794
Saxion · NLAmsterdam University of Applied Sciences · NLMedisch Spectrum Twente · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco consumption is a leading cause of death and disease, killing >8 million people each year. Smoking cessation significantly reduces the risk of developing smoking-related diseases. Although combined treatment for addiction is promising, evidence of its effectiveness is still emerging. Currently, there is no published research comparing the effectiveness of blended smoking cessation treatments (BSCTs) with face-to-face (F2F) treatments, where web-based components replace 50% of the F2F components in blended treatment.

objectiveThe primary objective of this 2-arm noninferiority randomized controlled trial was to determine whether a BSCT is noninferior to an F2F treatment with identical ingredients in achieving abstinence rates.

methodsThis study included 344 individuals who smoke (at least 1 cigarette per day) attending an outpatient smoking cessation clinic in the Netherlands. The participants received either a blended 50% F2F and 50% web-based BSCT or only F2F treatment with similar content and intensity. The primary outcome measure was cotinine-validated abstinence rates from all smoking products at 3 and 15 months after treatment initiation. Additional measures included carbon monoxide-validated point prevalence abstinence; self-reported point prevalence abstinence; and self-reported continuous abstinence rates at 3, 6, 9, and 15 months after treatment initiation.

resultsNone of the 13 outcomes showed statistically confirmed noninferiority of the BSCT, whereas 4 outcomes showed significantly (P<.001) inferior abstinence rates of the BSCT: cotinine-validated point prevalence abstinence rate at 3 months (difference 12.7, 95% CI 6.2-19.4), self-reported point prevalence abstinence rate at 6 months (difference 19.3, 95% CI 11.5-27.0) and at 15 months (difference 11.7, 95% CI 5.8-17.9), and self-reported continuous abstinence rate at 6 months (difference 13.8, 95% CI 6.8-20.8). The remaining 9 outcomes, including the cotinine-validated point prevalence abstinence rate at 15 months, were inconclusive.

conclusionsIn this high-intensity outpatient smoking cessation trial, the blended mode was predominantly less effective than the traditional F2F mode. The results contradict the widely assumed potential benefits of blended treatment and suggest that further research is needed to identify the critical factors in the design of blended interventions.

trial registrationNetherlands Trial Register 27150; https://onderzoekmetmensen.nl/nl/trial/27150. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-doi.org/10.1186/s12889-016-3851-x.

Indexed as

Behavior, AddictiveSmoking CessationAmbulatory Care FacilitiesCombined Modality TherapyCotinineHumansCotinineblended treatmenteffectivenessevaluationmobile phonenoninferiorityrandomized controlled trialsmoking cessationtobacco

Identifiers

PMID38376901
PMCPMC10915740
OpenAlexW4390419529

What OpenQuestion 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 OpenQuestion graph.