Evidence map›Paper›PMID 29674308›Full record

Observational studyJournal of medical Internet research2018

Uptake of Tailored Text Message Smoking Cessation Support in Pregnancy When Advertised on the Internet (MiQuit): Observational Study.

Joanne L Emery, Tim Coleman, Stephen Sutton, Sue Cooper, Jo Leonardi-Bee, Matthew Jones, Felix Naughton

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Review
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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

7 authors at 3 institutions in 1 country.

Joanne L EmeryBehavioral Science Group, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-8915-7033
Tim ColemanDivision of Primary Care, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-7303-4805
Stephen SuttonBehavioral Science Group, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1610-0404
Sue CooperDivision of Primary Care, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-1994-6395
Jo Leonardi-BeeDivision of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-0893-6068
Matthew JonesDivision of Primary Care, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-4824-9724
Felix NaughtonSchool of Health Sciences, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0001-9790-2796
University of Nottingham · GBUniversity of Cambridge · GBUniversity of East Anglia · GB

Funding

Department of Health RP-PG-0109-10020Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

backgroundSmoking in pregnancy is a major public health concern. Pregnant smokers are particularly difficult to reach, with low uptake of support options and few effective interventions. Text message-based self-help is a promising, low-cost intervention for this population, but its real-world uptake is largely unknown.

objectiveThe objective of this study was to explore the uptake and cost-effectiveness of a tailored, theory-guided, text message intervention for pregnant smokers ("MiQuit") when advertised on the internet.

methodsLinks to a website providing MiQuit initiation information (texting a short code) were advertised on a cost-per-click basis on 2 websites (Google Search and Facebook; £1000 budget each) and free of charge within smoking-in-pregnancy webpages on 2 noncommercial websites (National Childbirth Trust and NHS Choices). Daily budgets were capped to allow the Google and Facebook adverts to run for 1 and 3 months, respectively. We recorded the number of times adverts were shown and clicked on, the number of MiQuit initiations, the characteristics of those initiating MiQuit, and whether support was discontinued prematurely. For the commercial adverts, we calculated the cost per initiation and, using quit rates obtained from an earlier clinical trial, estimated the cost per additional quitter.

resultsWith equal capped budgets, there were 812 and 1889 advert clicks to the MiQuit website from Google (search-based) and Facebook (banner) adverts, respectively. MiQuit was initiated by 5.2% (42/812) of those clicking via Google (95% CI 3.9%-6.9%) and 2.22% (42/1889) of those clicking via Facebook (95% CI 1.65%-2.99%). Adverts on noncommercial webpages generated 53 clicks over 6 months, with 9 initiations (9/53, 17%; 95% CI 9%-30%). For the commercial websites combined, mean cost per initiation was £24.73; estimated cost per additional quitter, including text delivery costs, was £735.86 (95% CI £227.66-£5223.93). Those initiating MiQuit via Google were typically very early in pregnancy (median gestation 5 weeks, interquartile range 10 weeks); those initiating via Facebook were distributed more evenly across pregnancy (median gestation 16 weeks, interquartile range 14 weeks).

conclusionsCommercial online adverts are a feasible, likely cost-effective method for engaging pregnant smokers in digital cessation support and may generate uptake at a faster rate than noncommercial websites. As a strategy for implementing MiQuit, online advertising has large reach potential and can offer support to a hard-to-reach population of smokers.

Indexed as

AdultFemaleHumansInternetMalePregnancySmoking CessationTelemedicineText Messaginginternetpregnancypublic healthsmoking cessationsocial mediatelemedicine

Identifiers

PMID29674308
PMCPMC5934538
OpenAlexW2768450235

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.