Evidence map›Paper›PMID 42259634›Full record

Trial reportOccupational and environmental medicine2026

Impact of the EILA application on smoking cessation among hospital workers: a randomised controlled trial.

Erik Schneider, Wiebke Wanner, Mareike Lüthgen, Dominik Edward Pawlak, Henrike Alexandra Faesser, Kai Mortensen, Daniel Drömann, Tobias Jagomast, Klaas F Franzen

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Occupational and environmental medicine, 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

9 authors.

Erik Schneider *Pulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany.
Wiebke Wanner *Pulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany.
Mareike LüthgenPulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany.ORCID http://orcid.org/0000-0001-7830-4256
Dominik Edward PawlakPulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany.
Henrike Alexandra FaesserPulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany.
Kai MortensenCardiology (Department of Medicine II), University Hospital Schleswig-Holstein, Lübeck, Germany.
Daniel DrömannPulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany.
Tobias Jagomast *Pulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany tobias.jagomast@uksh.de.ORCID http://orcid.org/0009-0007-4811-9704
Klaas F Franzen *Pulmonology (Department of Medicine III), University Hospital Schleswig-Holstein, Lübeck, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSmoking remains a major preventable cause of lung and cardiovascular disease. This randomised controlled trial evaluated EILA, a mobile application using artificial intelligence, for promoting smoking cessation among hospital workers.

methodsA randomised controlled trial was conducted. Hospital workers (n=43) were recruited from a German university hospital from May 2022 to March 2023. Inclusion criteria comprised age ≥18, Fagerström score ≥3 or 10 cigarettes per day, ownership of a suitable smartphone, motivation to quit smoking and no addiction to other psychoactive substances. Participants were randomised by sealed envelopes to EILA intervention (n=25) or a wait-list control (n=18) receiving a primary care-style intervention, with crossover after 3 months. The primary outcome was the cessation rate. Secondary outcomes comprised nicotine dependence, mental health and cardiovascular risk, all measured using validated questionnaires.

resultsAt the 6-month follow-up, the relative risk for continued smoking was reduced to 0.91 (n=51, 95% CI 0.7 to 1.2), and nicotine dependence, measured by the Fagerström Test, decreased significantly from 4.41±1.93 to 3.32±2.69 (n=19, p=0.014). PROCAM score for cardiovascular risk was reduced from 35.22±12.47 to 31.9±13.24 (n=36, p=0.008).

conclusionThe digital health application EILA was linked to increased smoking cessation rates, although without achieving statistical significance. Nevertheless, the results indicate reductions in nicotine dependence and cardiovascular risk, supporting EILA as a scalable and flexible intervention for promoting health in hospital workers.

Indexed as

Mobile ApplicationsPersonnel, HospitalSmoking CessationAdultFemaleGermanyHumansMaleMiddle AgedTobacco Use DisorderHealth PersonnelOccupational HealthSmoking

Identifiers

PMID42259634
PMCPMC13422096

What Socratic holds

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LicenceCC BY
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Registered trials

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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.