Dataset Information

Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies.

ABSTRACT:

Background

Successful recruitment of participants to mobile health (mHealth) studies presents unique challenges over in-person studies. It is important to identify recruitment strategies that maximize the limited recruitment resources available to researchers.

Objective

The objective of this study was to describe a case study of a unique recruitment process used in a recent mHealth software app designed to increase smoking cessation among weight-concerned women smokers. The See Me Smoke-Free app was deployed to the Google Play Store (Alphabet, Inc., Google, LLC), where potential participants could download the app and enroll in the study. Users were invited in-app to participate in the study, with no in-person contact. The recruitment activities relied primarily on earned (free) and social media.

Methods

To determine the relationship between recruitment activities and participant enrollment, the researchers explored trends in earned and social media activity in relation to app installations, examined social media messaging in relation to reach or impressions, and described app users' self-reported referral source. The researchers collected and descriptively analyzed data regarding recruitment activities, social media audience, and app use during the 18-week recruitment period (March 30, 2015-July 31, 2015). Data were collected and aggregated from internal staff activity tracking documents and from Web-based data analytics software such as SumAll, Facebook Insights (Facebook, Inc.), and Google Analytics (Alphabet, Inc., Google, LLC).

Results

Media coverage was documented across 75 publications and radio or television broadcasts, 35 of which were local, 39 national, and 1 international. The research team made 30 Facebook posts and 49 tweets, yielding 1821 reaches and 6336 impressions, respectively. From March 30, 2015 to July 31, 2015, 289 unique users downloaded the app, and 151 participants enrolled in the study.

Conclusions

Research identifying effective online recruitment methods for mHealth studies remains minimal, and findings are inconsistent. We demonstrated how earned media can be leveraged to recruit women to an mHealth smoking cessation trial at low cost. Using earned media and leveraging social media allowed us to enroll 3 times the number of participants that we anticipated enrolling. The cost of earned media resides in the staff time required to manage it, particularly the regular interaction with social media. We recommend communication and cooperation with university public affairs and social media offices, as well as affiliate programs in journalism and communications, so that earned media can be used as a recruitment strategy for mHealth behavior change interventions. However, press releases are not always picked up by the media and should not be considered as a stand-alone method of recruitment. Careful consideration of an intervention's broad appeal and how that translates into potential media interest is needed when including earned media as part of a comprehensive recruitment plan for mHealth research.

SUBMITTER: Abbate KJ

PROVIDER: S-EPMC5695655 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies.

Abbate Kristopher J KJ Hingle Melanie D MD Armin Julie J Giacobbi Peter P Gordon Judith S JS

JMIR research protocols 20171103 11

<h4>Background</h4>Successful recruitment of participants to mobile health (mHealth) studies presents unique challenges over in-person studies. It is important to identify recruitment strategies that maximize the limited recruitment resources available to researchers.<h4>Objective</h4>The objective of this study was to describe a case study of a unique recruitment process used in a recent mHealth software app designed to increase smoking cessation among weight-concerned women smokers. The See Me ...[more]

PMID: 29101091

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Project description:BACKGROUND:Smoking cessation is a persistent leading public health challenge. Mobile health (mHealth) solutions are emerging to improve smoking cessation treatments. Previous approaches have proposed supporting cessation with tailored motivational messages. Some managed to provide short-term improvements in smoking cessation. Yet, these approaches were either static in terms of personalization or human-based nonscalable solutions. Additionally, long-term effects were neither presented nor assessed in combination with existing psychopharmacological therapies. OBJECTIVE:This study aimed to analyze the long-term efficacy of a mobile app supporting psychopharmacological therapy for smoking cessation and complementarily assess the involved innovative technology. METHODS:A 12-month, randomized, open-label, parallel-group trial comparing smoking cessation rates was performed at Virgen del Rocío University Hospital in Seville (Spain). Smokers were randomly allocated to a control group (CG) receiving usual care (psychopharmacological treatment, n=120) or an intervention group (IG) receiving psychopharmacological treatment and using a mobile app providing artificial intelligence-generated and tailored smoking cessation support messages (n=120). The secondary objectives were to analyze health-related quality of life and monitor healthy lifestyle and physical exercise habits. Safety was assessed according to the presence of adverse events related to the pharmacological therapy. Per-protocol and intention-to-treat analyses were performed. Incomplete data and multinomial regression analyses were performed to assess the variables influencing participant cessation probability. The technical solution was assessed according to the precision of the tailored motivational smoking cessation messages and user engagement. Cessation and no cessation subgroups were compared using t tests. A voluntary satisfaction questionnaire was administered at the end of the intervention to all participants who completed the trial. RESULTS:In the IG, abstinence was 2.75 times higher (adjusted OR 3.45, P=.01) in the per-protocol analysis and 2.15 times higher (adjusted OR 3.13, P=.002) in the intention-to-treat analysis. Lost data analysis and multinomial logistic models showed different patterns in participants who dropped out. Regarding safety, 14 of 120 (11.7%) IG participants and 13 of 120 (10.8%) CG participants had 19 and 23 adverse events, respectively (P=.84). None of the clinical secondary objective measures showed relevant differences between the groups. The system was able to learn and tailor messages for improved effectiveness in supporting smoking cessation but was unable to reduce the time between a message being sent and opened. In either case, there was no relevant difference between the cessation and no cessation subgroups. However, a significant difference was found in system engagement at 6 months (P=.04) but not in all subsequent months. High system appreciation was reported at the end of the study. CONCLUSIONS:The proposed mHealth solution complementing psychopharmacological therapy showed greater efficacy for achieving 1-year tobacco abstinence as compared with psychopharmacological therapy alone. It provides a basis for artificial intelligence-based future approaches. TRIAL REGISTRATION:ClinicalTrials.gov NCT03553173; https://clinicaltrials.gov/ct2/show/NCT03553173. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):RR2-10.2196/12464.

Project description:IntroductionProject CLIQ (Community Link to Quit) was a proactive population-outreach strategy using an electronic health records-based smoker registry and interactive voice recognition technology to connect low- to moderate-income smokers with cessation counseling, medications, and social services. A randomized trial demonstrated that the program increased cessation. We evaluated the cost-effectiveness of CLIQ from a provider organization's perspective if implemented outside the trial framework.MethodsWe calculated the cost, cost per smoker, incremental cost per additional quit, and, secondarily, incremental cost per additional life year saved of the CLIQ system compared to usual care using data from a 2011-2013 randomized trial assessing the effectiveness of the CLIQ system. Sensitivity analyses considered economies of scale and initial versus ongoing costs.ResultsOver a 20-month period (the duration of the trial) the program cost US $283 027 (95% confidence interval [CI] $209 824-$389 072) more than usual care in a population of 8544 registry-identified smokers, 707 of whom participated in the program. The cost per smoker was $33 (95% CI 28-40), incremental cost per additional quit was $4137 (95% CI $2671-$8460), and incremental cost per additional life year saved was $7301 (95% CI $4545-$15 400). One-time costs constituted 28% of costs over 20 months. Ongoing costs were dominated by personnel costs (71% of ongoing costs). Sensitivity analyses showed sharp gains in cost-effectiveness as the number of identified smokers increased because of the large initial costs.ConclusionsThe CLIQ system has favorable cost-effectiveness compared to other smoking cessation interventions. Cost-effectiveness will be greatest for health systems with high numbers of smokers and with the high smoker participation rates.ImplicationsHealth information systems capable of establishing registries of patients who are smokers are becoming more prevalent. This economic analysis illustrates the cost implications for health care systems adopting a proactive tobacco treatment outreach strategy for low- and middle-income smokers. We find that under many circumstances, the CLIQ system has a favorable cost-per-quit compared to other population-based tobacco treatment strategies. The strategy could be widely disseminable if health systems leverage economies of scale.

Project description:BackgroundSmoking prevalence during and after pregnancy remains high among socioeconomically disadvantaged women. Mobile health (mHealth) apps with game and social support elements seem promising to support smoking cessation.ObjectiveThis study aims to describe the user-centered design and usability evaluation of Kindle, an mHealth app with game and social support elements, to support disadvantaged young women during and after pregnancy through the first stages of smoking cessation.MethodsDisadvantaged women (n=9), members of their social networks (n=4), and nurses supporting these women (n=51) were informants throughout the iterative prototype development of Kindle according to the International Organization for Standardization 9241-11:2018. Specific phases included understanding the context of use through secondary analysis of qualitative interview data (phase 1), establishing the user and organizational requirements (phase 2), production of design solutions (phase 3), and usability inspection of the prototype through a heuristic evaluation (3 experts) along with user testing by a think aloud method (5 disadvantaged women and 5 nurses; phase 4). Usability problems were categorized according to the principles of the Healthcare Information and Management Systems Society.ResultsPhase 1 resulted in an understanding of the VoorZorg program and the needs of VoorZorg nurses and clients (eg, focus on early stages of change and building new supportive networks to aid clients in smoking cessation). In phase 2, we established requirements (n=22; eg, mHealth app, secure communication between nurses and clients, easy-to-use interfaces, inclusion of game elements, and tailoring at early stages of change in smoking cessation). Phase 3 resulted in a prototype of Kindle, combining the interface for nurses and clients, including the following functionalities: personal goal setting with earning points; secured chat function between nurses and other clients; and tips, diary, and profile creation. The heuristic evaluation and thinking aloud method in phase 4 revealed 78 usability problems in the interfaces. Most usability problems concerned simplicity (eg, unclear clickable button) and naturalness (eg, unclear icon).ConclusionsThe user-centered design and usability testing of the mHealth app Kindle yielded useful insights. The involvement of end users, specifically socioeconomically disadvantaged women during and after their pregnancy, resulted in a prototype that met their needs and requirements (eg, mHealth app, secure communication between nurses and clients, easy-to-use interfaces, inclusion of game elements, and tailoring to the early stages of change in smoking cessation) to achieve readiness for smoking cessation. Moreover, the usability evaluation by end users and experts revealed unique usability problems for this population. These insights allow for further optimization of Kindle and encourage future studies to engage disadvantaged populations in all phases of mHealth intervention design and usability testing.

Project description:ObjectiveMobile phone-based interventions have been proven to be effective tools for smoking cessation, at least in the short term. Gamification, that is, the use of game-design elements in a non-game context, has been associated with increased engagement and motivation, critical success factors for long-term success of mobile Health solutions. However, to date, no app review has examined the use of gamification in smoking cessation mobile apps. Our review aims to examine and quantify the use of gamification strategies (broad principles) and tactics (on-screen features) among existing mobile apps for smoking cessation in the UK.MethodsThe UK Android and iOS markets were searched in February 2018 to identify smoking cessation apps. 125 Android and 15 iOS apps were tested independently by two reviewers for primary functionalities, adherence to Five A smoking cessation guidelines, and adoption of gamification strategies and tactics. We examined differences between platforms with χ2 tests. Correlation coefficients were calculated to explore the relationship between adherence to guidelines and gamification.ResultsThe most common functionality of the 140 mobile apps we reviewed allowed users to track the days since/until the quit date (86.4%). The most popular gamification strategy across both platforms was performance feedback (91.4%). The majority of apps adopted a medium level of gamification strategies (55.0%) and tactics (64.3%). Few adopted high levels of gamification strategies (6.4%) or tactics (5.0%). No statistically significant differences between the two platforms were found regarding level of gamification (p>0.05) and weak correlations were found between adherence to Five A's and gamification strategies (r=0.38) and tactics (r=0.26).ConclusionThe findings of this review show that a high level of gamification is adopted by a small minority of smoking cessation apps in the UK. Further exploration of the use of gamification in smoking cessation apps may provide insights into its role in smoking cessation.

Project description:BackgroundAlthough a relatively small proportion of women who become pregnant continue to smoke cigarettes, no smoking cessation medication has been shown to be effective for this subgroup of smokers. Bupropion, a nonnicotine-based medication, is approved for the promotion of smoking cessation in nonpregnant individuals. We chose to study it in pregnant smokers because, although pregnancy increases nicotine metabolism, it does not affect the metabolism of bupropion.ObjectiveWe evaluated the efficacy and safety of sustained-release bupropion for smoking cessation among pregnant women.Study designWe conducted a multiple site, placebo-controlled, randomized clinical trial of bupropion for tobacco use among pregnant women (N=129) (clinical trial number NCT02188459). We enrolled women during the second trimester and randomly assigned them to receive 10 weeks of treatment with either bupropion or placebo, accompanied by a total of 6 smoking cessation counseling sessions (4 during treatment and 2 postpartum). The primary outcome was 7-day point prevalence smoking abstinence, confirmed with breath carbon monoxide measurements, at the end of treatment (week 10) and at week 24. Group differences were assessed as a binary abstinence outcome using a repeated measure generalized estimating equations model with a logit link. Prolonged abstinence and smoking rates were secondary outcomes. Safety measures included maternal treatment-related adverse events, gestational age, the rate of overall and spontaneous preterm births and infant birthweight and size for gestational age, head circumference, and 5-minute Apgar scores.ResultsThere were no significant differences in the safety measures across the treatment arms and bupropion was not efficacious in promoting smoking cessation at the end of treatment (7-day point prevalence quit rates: bupropion, 11.0%; placebo, 18.5%) or week 24 (7-day point prevalence quit rates: bupropion, 9.4%; placebo, 21.5%) (P>.05). African American women and women with a lower severity of nicotine dependence had significantly higher quit rates overall and women with an opioid use disorder who were being treated with opioid agonist therapy had significantly lower quit rates overall, irrespective of the treatment group (all P values <.05).ConclusionAlthough bupropion use was not associated with an elevated risk for pregnancy complications when initiated in the second trimester, it did not increase the likelihood of smoking cessation in this cohort of pregnant women. Because smoking is the major preventable source of poor pregnancy outcomes and psychosocial interventions have only modest beneficial effects, additional studies are needed to identify safe and efficacious smoking cessation medications for pregnant women who continue to smoke.

Project description:BackgroundPostmenopausal smokers have difficulty quitting smoking and experience considerable weight gain with smoking cessation. We examined whether adjunctive smoking treatment with exercise, compared to a relaxation control condition, could improve cigarette abstinence, decrease cigarettes smoked per day (CPD), and ameliorate changes in body mass index (BMI) in postmenopausal smokers.MethodsWomen (N = 301) signed informed consent and were randomized to treatment at two sites (Universities of Connecticut and Minnesota). We randomized groups of participants to a comprehensive group treatment program that included 12 weeks of varenicline and either a moderate exercise or relaxation component for 6 months. Participants were followed for a year after medication treatment.ResultsOverall, 17.3% of patients reported carbon monoxide-verified continuous abstinence for the 9- to 12-week period, and 11.6% reported prolonged abstinence at 1 year, with no significant differences between treatment conditions. CPD reported at study visits showed significant main effects for time in weeks, for site, and for treatment. The Exercise condition reported smoking fewer CPD over time, and that advantage widened over time. In terms of BMI, significant effects for time in weeks, and for the interaction of Week × Treatment condition, reflected gradually increasing BMI in these women over time, but with the increase in BMI slower in the Exercise condition.ConclusionsExercise, compared to relaxation, was associated with a reduced BMI and CPD in postmenopausal women, but did not increase end of treatment or prolonged abstinence. Further research is needed to devise exercise programs that increase smoking cessation rates in postmenopausal women.ImplicationsThis study adds to the literature on the effectiveness of a moderate exercise intervention compared to a relaxation control condition as an adjunctive treatment for smoking cessation in postmenopausal women. Our exercise program did not increase end of treatment or prolonged abstinence rates in postmenopausal women; however, there was a beneficial effect on smoking reduction and reduced body mass index. Additional research is needed to devise exercise programs that increase smoking cessation rates in postmenopausal women.

Project description:BACKGROUND:Rural and remote residents are more likely to smoke than those who live in major cities; however, recruitment of research participants from rural and remote areas can be challenging. The cost per participant recruited from rural and remote areas via online (eg, social media) and traditional strategies (eg, print) has implications for researchers on how to allocate resources to maximize the number of participants recruited. Participant characteristics such as demographics, financial stress, mental health, and smoking-related factors may be associated with recruitment method (ie, online vs traditional), and so it is important to understand whether certain subgroups are more likely to be recruited via a particular strategy. OBJECTIVE:This study aimed to determine the cost per participant recruited and examine whether characteristics such as demographics, financial stress, mental health, and smoking-related factors may be associated with the recruitment method (ie, online vs traditional). METHODS:Participants were recruited into a randomized trial that provided smoking cessation support. Eligible participants were aged 18 years or older; used tobacco daily; had access to video communication software, internet, and telephone; had an email address; and lived in a rural or remote area of New South Wales, Australia. This study describes the natural (observed) experience of recruiting participants via online and traditional methods into a smoking cessation trial. RESULTS:Over 17 months, 655 participants were recruited into the smoking cessation trial. A total of 88.7% (581/655) of the participants were recruited via online methods. Moreover, 1.8% (12/655) of the participants were recruited from remote locations and none from very remote areas. The cost per participant recruited by the various online strategies ranged from Aus $7.29 (US $4.96, £4.09, and €4.43) for Gumtree, a local online classified website, to Aus $128.67 (US $87.63, £72.20, and €78.28) for email. The cost per participant recruited using traditional strategies ranged from Aus $0 (US $0, £0, and €0) for word of mouth to Aus $3990.84 (US $2757.67, £2227.85, and €2477.11) for telephone. Women had greater odds of being recruited via online methods than men (odds ratio 2.50, 95% CI 1.42-4.40). No other characteristics were associated with the recruitment method. CONCLUSIONS:The cost per participant recruited via online and traditional strategies varied, with the range being smaller for online than traditional recruitment strategies. Women have greater odds of being recruited via online strategies into rural smoking cessation trials. TRIAL REGISTRATION:Australian New Zealand Clinical Trials Registry ACTRN12617000514303; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372584&isReview=true.

Project description:BACKGROUND:Smartphone apps for smoking cessation could offer easily accessible, highly tailored, intensive interventions at a fraction of the cost of traditional counseling. Although there are hundreds of publicly available smoking cessation apps, few have been empirically evaluated using a randomized controlled trial (RCT) design. The Smart-Treatment (Smart-T2) app is a just-in-time adaptive intervention that uses ecological momentary assessments (EMAs) to assess the risk for imminent smoking lapse and tailors treatment messages based on the risk of lapse and reported symptoms. OBJECTIVE:This 3-armed pilot RCT aimed to determine the feasibility and preliminary efficacy of an automated smartphone-based smoking cessation intervention (Smart-T2) relative to standard in-person smoking cessation clinic care and the National Cancer Institute's free smoking cessation app, QuitGuide. METHODS:Adult smokers who attended a clinic-based tobacco cessation program were randomized into groups and followed for 13 weeks (1 week prequitting through 12 weeks postquitting). All study participants received nicotine patches and gum and were asked to complete EMAs five times a day on study-provided smartphones for 5 weeks. Participants in the Smart-T2 group received tailored treatment messages after the completion of each EMA. Both Smart-T2 and QuitGuide apps offer on-demand smoking cessation treatment. RESULTS:Of 81 participants, 41 (50%) were women and 55 (68%) were white. On average, participants were aged 49.6 years and smoked 22.4 cigarettes per day at baseline. A total of 17% (14/81) of participants were biochemically confirmed 7-day point prevalence abstinent at 12 weeks postquitting (Smart-T2: 6/27, 22%, QuitGuide: 4/27, 15%, and usual care: 4/27, 15%), with no significant differences across groups (P>.05). Participants in the Smart-T2 group rated the app positively, with most participants agreeing that they can rely on the app to help them quit smoking, and endorsed the belief that the app would help them stay quit, and these responses were not significantly different from the ratings given by participants in the usual care group. CONCLUSIONS:Dynamic smartphone apps that tailor intervention content in real time may increase user engagement and exposure to treatment-related materials. The results of this pilot RCT suggest that smartphone-based smoking cessation treatments may be capable of providing similar outcomes to traditional, in-person counseling. TRIAL REGISTRATION:ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200.

Dataset Information

Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies.

Background

Objective

Methods

Results

Conclusions

Publications

Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies.

Similar Datasets

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