Publication:

Adherence to mHealth quit smoking application 'stopcoach' on top of evidence based smoking cessation counselling: association with participant characteristics and long-term abstinence

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0001-8781-5445
cris.virtualsource.department77085fcd-343f-41bb-b276-72db3eb3d3f8
cris.virtualsource.orcid77085fcd-343f-41bb-b276-72db3eb3d3f8
dc.contributor.authorZijp, Anne
dc.contributor.authorde Frel, Daan L.
dc.contributor.authorvan den Putte, Bas
dc.contributor.authorHeemskerk, Eline
dc.contributor.authorChavannes, Niels H.
dc.contributor.authorHermsen, Sander
dc.contributor.authorTroelstra, Sigrid
dc.contributor.authorMeijer, Eline
dc.date.accessioned2026-04-01T07:36:30Z
dc.date.available2026-04-01T07:36:30Z
dc.date.createdwos2025-10-18
dc.date.issued2025
dc.description.abstractBackground Smoking is more common in lower socioeconomic position (SEP) groups, but smoking cessation interventions are less effective for these groups. StopCoach, an mHealth intervention, supports people with lower SEP in quitting smoking. A non-randomized controlled trial found that adding StopCoach to accredited smoking cessation counselling (SCC) led to higher abstinence rates immediately after and one year after SCC, compared to SCC alone. Users also rated its usability, acceptability, and practicality positively. Recent studies show a dose-response relationship, where more mHealth use improves smoking cessation outcomes. Since adherence is a challenge and often underreported, understanding adherence factors is crucial in evaluating eHealth intervention effectiveness. Aim This study aims to assess the association between participant characteristics and StopCoach app adherence, as well as the association between app adherence and (short- and long-term) abstinence. Methods Main outcomes are app adherence and abstinence. All participants (N = 132) were enrolled in group-based SCC. The association between user characteristics and adherence was estimated with logistic regression models. Chi-square tests were performed to test the association between app adherence and self-reported smoking abstinence. Short-term and long-term abstinence were defined as 4 weeks and 1 year after the quit date, respectively. App adherence was defined as the number of steps completed by a participant in the app. Results Older users and those who had attended all SCC meetings were significantly more likely to be adherent to the app. More app-adherent participants were significantly more likely to be abstinent 1 year after the quit date. This association was non-significant at 4 weeks. Conclusion The results indicate that mHealth interventions such as StopCoach may increase the effectiveness of traditional SCC programs. Users could benefit from further integration of StopCoach in SCC programs, as this could motivate them to be more adherent to StopCoach, resulting in them quitting successfully.
dc.description.wosFundingTextThe Netherlands Expertise Centre for Tobacco Control, Trimbos Institute, Pharos (Dutch Centre of Expertise on Health Disparities) and Leiden University Medical Center co-funded the'Stopcoach'.
dc.identifier.doi10.1186/s13011-025-00672-8
dc.identifier.pmidMEDLINE:41088256
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58993
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherBMC
dc.source.beginpage44
dc.source.issue1
dc.source.journalSUBSTANCE ABUSE TREATMENT PREVENTION AND POLICY
dc.source.numberofpages11
dc.source.volume20
dc.subject.keywordsINTERVENTIONS
dc.subject.keywordsSTOPADVISOR
dc.subject.keywordsHEALTH
dc.title

Adherence to mHealth quit smoking application 'stopcoach' on top of evidence based smoking cessation counselling: association with participant characteristics and long-term abstinence

dc.typeJournal article
dspace.entity.typePublication
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
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