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

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          Abstract

          Background

          Smoking 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.

          Objective

          The 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.

          Methods

          Links 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.

          Results

          With 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).

          Conclusions

          Commercial 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.

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          Most cited references22

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          Systematic review and meta-analysis of miscarriage and maternal exposure to tobacco smoke during pregnancy.

          We conducted a systematic review and meta-analysis to characterize the relationship between smoking and miscarriage. We searched the PubMed database (1956-August 31, 2011) using keywords and conducted manual reference searches of included articles and reports of the US Surgeon General. The full text of 1,706 articles was reviewed, and 98 articles that examined the association between active or passive smoking and miscarriage were included in the meta-analysis. Data were abstracted by 2 reviewers. Any active smoking was associated with increased risk of miscarriage (summary relative risk ratio = 1.23, 95% confidence interval (CI): 1.16, 1.30; n = 50 studies), and this risk was greater when the smoking exposure was specifically defined as during the pregnancy in which miscarriage risk was measured (summary relative risk ratio = 1.32, 95% CI: 1.21, 1.44; n = 25 studies). The risk of miscarriage increased with the amount smoked (1% increase in relative risk per cigarette smoked per day). Secondhand smoke exposure during pregnancy increased the risk of miscarriage by 11% (95% CI: 0.95, 1.31; n = 17 studies). Biases in study publication, design, and analysis did not significantly affect the results. This finding strengthens the evidence that women should not smoke while pregnant, and all women of reproductive age should be warned that smoking increases the risk of miscarriage.
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            The Use of Social Networking Sites for Public Health Practice and Research: A Systematic Review

            Background Social networking sites (SNSs) have the potential to increase the reach and efficiency of essential public health services, such as surveillance, research, and communication. Objective The objective of this study was to conduct a systematic literature review to identify the use of SNSs for public health research and practice and to identify existing knowledge gaps. Methods We performed a systematic literature review of articles related to public health and SNSs using PubMed, EMBASE, and CINAHL to search for peer-reviewed publications describing the use of SNSs for public health research and practice. We also conducted manual searches of relevant publications. Each publication was independently reviewed by 2 researchers for inclusion and extracted relevant study data. Results A total of 73 articles met our inclusion criteria. Most articles (n=50) were published in the final 2 years covered by our search. In all, 58 articles were in the domain of public health research and 15 were in public health practice. Only 1 study was conducted in a low-income country. Most articles (63/73, 86%) described observational studies involving users or usages of SNSs; only 5 studies involved randomized controlled trials. A large proportion (43/73, 59%) of the identified studies included populations considered hard to reach, such as young individuals, adolescents, and individuals at risk of sexually transmitted diseases or alcohol and substance abuse. Few articles (2/73, 3%) described using the multidirectional communication potential of SNSs to engage study populations. Conclusions The number of publications about public health uses for SNSs has been steadily increasing in the past 5 years. With few exceptions, the literature largely consists of observational studies describing users and usages of SNSs regarding topics of public health interest. More studies that fully exploit the communication tools embedded in SNSs and study their potential to produce significant effects in the overall population’s health are needed.
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              Exploring the viability of using online social media advertising as a recruitment method for smoking cessation clinical trials.

              The aim of the present study was to explore the viability of using social media as a recruitment tool in a clinical research trial. Sociodemographic data and smoking characteristics were assessed in 266 participants recruited to investigate the effectiveness of a behavioral support program for smoking cessation. For analysis, participants were separated into 2 groups based on whether they were recruited either using traditional means (flyers, word of mouth, or newspaper advertisement; n = 125, 47.0%) or by advertisements in online social media (n = 138, 51.9%). Participants recruited via social media were significantly younger, but there were no differences in other socioeconomic variables or smoking characteristics compared with participants recruited via other traditional means. The findings of the present study suggest that using online social media is a viable recruitment method for smoking studies and compliments other more traditional recruitment methods.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                April 2018
                19 April 2018
                : 20
                : 4
                : e146
                Affiliations
                [1] 1 Behavioral Science Group Institute of Public Health University of Cambridge Cambridge United Kingdom
                [2] 2 Division of Primary Care School of Medicine University of Nottingham Nottingham United Kingdom
                [3] 3 Division of Epidemiology and Public Health School of Medicine University of Nottingham Nottingham United Kingdom
                [4] 4 School of Health Sciences University of East Anglia Norwich United Kingdom
                Author notes
                Corresponding Author: Joanne L Emery jle40@ 123456medschl.cam.ac.uk
                Author information
                http://orcid.org/0000-0002-8915-7033
                http://orcid.org/0000-0002-7303-4805
                http://orcid.org/0000-0003-1610-0404
                http://orcid.org/0000-0002-1994-6395
                http://orcid.org/0000-0003-0893-6068
                http://orcid.org/0000-0002-4824-9724
                http://orcid.org/0000-0001-9790-2796
                Article
                v20i4e146
                10.2196/jmir.8525
                5934538
                29674308
                a82318a9-3473-4f5b-91c0-b3d98572604e
                ©Joanne L Emery, Tim Coleman, Stephen Sutton, Sue Cooper, Jo Leonardi-Bee, Matthew Jones, Felix Naughton. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.04.2018.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 21 July 2017
                : 9 August 2017
                : 23 August 2017
                : 23 August 2017
                Categories
                Original Paper
                Original Paper

                Medicine
                smoking cessation,pregnancy,internet,telemedicine,public health,social media
                Medicine
                smoking cessation, pregnancy, internet, telemedicine, public health, social media

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