Evidence map›Paper›PMID 34321088›Full record

ArticleAddiction science & clinical practice2021

"At least someone thinks I'm doing well": a real-world evaluation of the quit-smoking app StopCoach for lower socio-economic status smokers.

Eline Meijer, Janneke S Korst, Kristiene G Oosting, Eline Heemskerk, Sander Hermsen, Marc C Willemsen, Bas van den Putte, Niels H Chavannes, Jamie Brown

Open access · goldAbstract read
In one paragraph

Article in Addiction science & clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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 at 5 institutions in 3 countries.

Eline MeijerPublic Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands. e.meijer@lumc.nl.ORCID 0000-0001-7078-5067
Janneke S KorstPublic Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Kristiene G OostingPublic Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Eline HeemskerkPharos Dutch Center of Expertise On Health Disparities, Utrecht, The Netherlands.
Sander HermsenOnePlanet Research Center, Imec NL, Wageningen, The Netherlands.
Marc C WillemsenThe Netherlands Expertise Centre for Tobacco Control, Trimbos Institute, Utrecht, The Netherlands.
Bas van den PutteAmsterdam School of Communication Research, University of Amsterdam, Amsterdam, The Netherlands.
Niels H ChavannesPublic Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, UK.
Leiden University Medical Center · NLImec the Netherlands · NLSpectrum Research (United States) · USTrimbos Institute · NLUniversity of Amsterdam · NL

Funding

Cancer Research UK 22962Medical Research Council MR/S037519/1
6 · The paper itself

Abstract

backgroundSmoking is more prevalent and persistent among lower socio-economic status (SES) compared with higher-SES groups, and contributes greatly to SES-based health inequities. Few interventions exist that effectively help lower-SES smokers quit. This study evaluated "De StopCoach", a mobile phone delivered eHealth intervention targeted at lower-SES smokers based on the evidence-based StopAdvisor, in a real-world setting (five municipalities) in The Netherlands in 2019-2020.

methodWe conducted individual semi-structured interviews with project leaders, healthcare professionals, and participating smokers (N = 22), and examined log data from the app (N = 235). For practical reasons, SES of app users was not measured. Qualitative data were analysed using the Framework Approach, with the Consolidated Framework for Implementation Research (CFIR) and Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical models.

resultsQualitative data showed that factors from the Intervention and Setting domains were most important for the implementation. StopCoach seemed suitable for lower-SES smokers in terms of performance and effort expectancy, especially when integrated with regular smoking cessation counseling (SCC). Key barriers to implementation of the app were limited integration of the app in SCC programs in practice, difficulty experienced by project leaders and healthcare professionals to engage the local community, and barriers to SCC more generally (e.g., perceived resistance to quitting in patients) that prevented healthcare professionals from offering the app to smokers. Quantitative data showed that 48% of app users continued using the app after the preparation phase and pre-quit day, and that 33% of app users had attempted to quit. Both app adherence and quit attempts were more likely if smokers also received SCC from a professional coach. Posthoc analyses suggest that adherence is related to higher likelihood of a quit attempt among participants with and without a professional coach.

conclusionsSmokers, healthcare professionals and project leaders indicated in the interviews that the StopCoach app would work best when combined with SCC. It also appears from app log that app adherence and quit attempts by app users can be facilitated by combining the app with face-to-face SCC. As such, blended care appears promising for helping individual smokers quit, as it combines the best of regular SCC and eHealth. Further research on blended care for lower-SES smokers is needed.

Indexed as

Mobile ApplicationsSmoking CessationEconomic StatusHumansSmokersSmokingBlended careeHealthImplementationReal-world evaluationSmokingSocio-economic status

Identifiers

PMID34321088
PMCPMC8320182
OpenAlexW3183550419

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.