Evidence map›Paper›PMID 37756034›Full record

ArticleJMIR formative research2023

Mobile Phone Text Messages to Support People to Stop Smoking by Switching to Vaping: Codevelopment, Coproduction, and Initial Testing Study.

Vassilis Sideropoulos, Eleni Vangeli, Felix Naughton, Sharon Cox, Daniel Frings, Caitlin Notley, Jamie Brown, Catherine Kimber, Lynne Dawkins

Abstract read
In one paragraph

Article in JMIR formative research, 2023. 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
–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

1 citing paper in PubMed.

  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

9 authors.

Vassilis SideropoulosDepartment of Psychology & Human Development, IOE, UCL's Faculty of Education and Society, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-5767-5426
Eleni VangeliDivision of Psychology, London South Bank University, London, United Kingdom.ORCID https://orcid.org/0000-0003-4016-4520
Felix NaughtonSchool of Health Sciences, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0001-9790-2796
Sharon CoxDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-8494-5105
Daniel FringsDivision of Psychology, London South Bank University, London, United Kingdom.ORCID https://orcid.org/0000-0002-0183-9516
Caitlin NotleyNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0003-0876-3304
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-2797-5428
Catherine KimberDivision of Psychology, London South Bank University, London, United Kingdom.ORCID https://orcid.org/0000-0001-9994-8640
Lynne DawkinsDivision of Psychology, London South Bank University, London, United Kingdom.ORCID https://orcid.org/0000-0003-1236-009X

Funding

Medical Research Council MR/T002352/1
6 · The paper itself

Abstract

backgroundSMS text messages are affordable, scalable, and effective smoking cessation interventions. However, there is little research on SMS text message interventions specifically designed to support people who smoke to quit by switching to vaping.

objectiveOver 3 phases, with vapers and smokers, we codeveloped and coproduced a mobile phone SMS text message program. The coproduction paradigm allowed us to collaborate with researchers and the community to develop a more relevant, acceptable, and equitable SMS text message program.

methodsIn phase 1, we engaged people who vape via Twitter and received 167 responses to our request to write SMS text messages for people who wish to quit smoking by switching to vaping. We screened, adjusted, refined, and themed the messages, resulting in a set of 95 that were mapped against the Capability, Opportunity, and Motivation-Behavior constructs. In phase 2, we evaluated the 95 messages from phase 1 via a web survey where participants (66/202, 32.7% woman) rated up to 20 messages on 7-point Likert scales on 9 constructs: being understandable, clear, believable, helpful, interesting, inoffensive, positive, and enthusiastic and how happy they would be to receive the messages. In phase 3, we implemented the final set of SMS text messages as part of a larger randomized optimization trial, in which 603 participants (mean age 38.33, SD 12.88 years; n=369, 61.2% woman) received SMS text message support and then rated their usefulness and frequency and provided free-text comments at the 12-week follow-up.

resultsFor phase 2, means and SDs were calculated for each message across the 9 constructs. Those with means below the neutral anchor of 4 or with unfavorable comments were discussed with vapers and further refined or removed. This resulted in a final set of 78 that were mapped against early, mid-, or late stages of quitting to create an order for the messages. For phase 3, a total of 38.5% (232/603) of the participants provided ratings at the 12-week follow-up. In total, 69.8% (162/232) reported that the SMS text messages had been useful, and a significant association between quit rates and usefulness ratings was found (χ

conclusionsIn this paper, we describe the initial coproduction and codevelopment of a set of SMS text messages to help smokers stop smoking by transitioning to vaping. We encourage researchers to use, further develop, and evaluate the set of SMS text messages and adapt it to target populations and relevant contexts.

Indexed as

codevelopmentcoproductione-cigaretteeHealthmobile phonesmokingSMS text messagestext messagevaping

Identifiers

PMID37756034
PMCPMC10568393

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.