INTRODUCTION

Tobacco cigarette smoking remains the leading global cause of preventable disease and the death of nearly 8 million people annually, with most of these deaths occurring in low- and middle-income countries (LMICs) such as Romania1. Maternal smoking is one of the most modifiable risk factors clearly linked to adverse effects for the fetus and baby2. Preconception and pregnancy smoking are high in Romania and there is a need for local adaptations of tobacco interventions3-5. Prior research estimates a 30% smoking prevalence rate among Romanian women during preconception6 with approximately half quitting early in the gestational period. A significant problem, and the focus of this project, is that up to 70% of women who quit smoking relapse after birth, usually within 3 months postpartum7.

One difficulty in preventing smoking relapse is that motivation to stay smoke-free after quitting fluctuates over time. In addition, one of the factors that influences smoking cessation during pregnancy and smoking relapse after birth is living with a smoking partner8. In Romania, up to 80% of pregnant smokers have a partner who is also smoking9. Preliminary work suggests that couple-oriented interventions, with particular focus on the dyadic efficacy for smoking cessation10, may be successful in preventing smoking relapse.

The wide adoption of mobile technologies, especially smartphones11, in recent years in LMICs offers the possibility of low-cost, novel, and innovative mobile phone-based interventions for smoking relapse prevention12,13. Mobile phones offer a virtually unused opportunity to deliver tobacco cessation interventions, particularly relevant in LMICs characterized by underfunded and understaffed health systems. Mobile health (mHealth) intervention benefits include scalability to large populations, the ability to tailor content to key user characteristics (such as motivation, self-efficacy, demographics), the ability to send time-sensitive messages, and the delivery of content that can distract the user from cravings14.

Some successful pre- and postnatal smoking prevention interventions have been implemented15-17 and nearly all in high-income countries, but most did not include partner support and the few that did were generally not successful in reducing pregnancy smoking and relapse18,19. The theoretical relapse prevention model suggests that effective programs for preventing postpartum smoking relapse need to combine enhancing the motivation to maintain abstinence with developing the self-efficacy to do so16. An intervention combining these two components, the Motivation and Problem Solving (MAPS) approach, showed promise in preventing postnatal smoking relapse among low-income US women who spontaneously quit during pregnancy16 and is currently being tested for pregnancy smoking cessation efficacy in Romania.

Most of the tested mHealth smoking cessation applications do not follow clinical guidelines20,21, do not draw on behavioral change theories, and very few have been implemented in LMICs such as Romania14. Few smoking cessation mHealth interventions used apps, and there is only one pregnancy-specific app that has been tested in a large-scale randomized controlled trial (RCT)22. This study presents the protocol of the RESPREMO three-arm clinical trial for postnatal tobacco smoking relapse prevention. The specific objectives of the RCT are: 1) to develop an adapted and enhanced mHealth couples intervention to prevent postpartum smoking relapse based on the xSmoker mobile application enhanced with SMS-delivered MAPS-based content informed by our work with the target population in Romania; 2) to conduct a pilot-test-scale randomized controlled trial (RCT) of the intervention; and 3) to examine in the pilot test the implementation feasibility and initial efficacy of the intervention in reducing maternal smoking relapse after birth. The study was approved by the Babes-Bolyai University Ethics Committee.

METHODS

Setting

The setting for the data collection included the two largest government-owned obstetrics and gynecology clinics located in Cluj-Napoca, Romania: Clinica Obstetrica-Ginecologie I and Clinica Obstetrica-Ginecologie II. After Bucharest, Cluj-Napoca is considered the second largest metropolitan area, with over 420000 residents, and an important university center of Romania.

Participants

Eligible participants in the RCT included mothers who: 1) were ≥18 years (age of legal tobacco consumption in Romania); 2) quit smoking in the 6 months before pregnancy or during pregnancy and remained quit, biochemically verified at the time of their enrollment in the RCT through exhaled CO (<4 ppm); 3) were married or having a stable partner; 4) owned a mobile phone capable to install apps; 5) were willing to offer the contact details of their life partner for the project team to contact them and invite them to participate in the study; and 6) were willing to sign the RCTs informed consent. A total of 75 women were included in the study irrespective of the smoking status of the partner/husband or his decision to participate in the RCT. Partners were contacted and invited to take part in the RCT in the first week after the woman’s enrollment. If the partners were willing to participate in the RCT, a verbal consent was obtained over the phone by a data collector trained in the study’s standard operating procedures. A total of 43 partners agreed to participate in the RCT.

Figure 1

RESPREMO clinical trial CONSORT flow diagram

https://www.tobaccopreventioncessation.com/f/fulltexts/118724/TPC-6-24-g001_min.jpg

Recruitment of the participants

The recruitment of the participants in the RCT took place between June and November 2018. The new mothers were approached by a data collector in the maternity wards of the two obstetrics and gynecology clinics in the first days after they gave birth. The data collector briefly described the research study, allowed women to ask questions about the study, and assessed the women’s eligibility before asking them to sign two copies of an informed consent. Next, the data collector asked for their contact details (names, phone numbers, and e-mail addresses) and of their partner. Women were invited to fill in an electronic version of the RCT’s baseline questionnaire by using a tablet with internet connection. Women who did not feel comfortable filling in the survey by themselves were assisted by the data collector. The baseline questionnaire for women consisted of five sections.

Sociodemographic information

Ten general questions regarding age, level of education, ethnicity, residence, monthly net income and others.

Medical and reproductive history

Nine questions related to the number of pregnancies so far, and previous pregnancy complications.

Information on smoking and alcohol use

Eighteen questions related to smoking behavior, exposure to passive smoking, previous smoking cessation initiatives, and alcohol or drug use.

Information on the relationship with the spouse/partner

Questions regarding the relationship with the partner, as well as his smoking status.

Emotional health

Two questions that relate to recent emotional experiences.

After completing the questionnaire, the data collector offered all women who were enrolled an informative leaflet on the benefits of remaining smoke-free after birth, for both the mother and the baby, the identification and prevention of risky situations that might lead to smoking relapse, examples of coping strategies that might help them overcome these situations, as well as information on how their life partner can support them throughout the process of remaining smoke-free. As a token of appreciation for their interest and participation in the research study, each participant received a baby nasal aspirator worth $5.

Randomization

Assignment in the RCT arm was done by the data collector in the clinic immediately after each woman’s enrollment in the RCT, based on a pre-randomized list of unique participant identification codes. The codes have been pre-randomized into two intervention arms and one control arm by using a blocked randomization procedure with randomly selected block sizes, to avoid selection bias and achieve sample size balance across RCT arms23. A total of 75 women were randomized into one of the three groups, with subsequent attempts to enroll their life partners as well: 24 were allocated to the first intervention group and asked to install and use the xSmoker app; 26 were randomized to the second intervention group who in addition to the use of the xSmoker app also received SMS text messages with content based on the MAPS framework and dyadic efficacy and informed by our prior work24,25 for 6 weeks; and 25 were assigned to the usual care group. The life partners were allocated in the same groups as the enrolled women.

Control arm

The participants in the control arm (‘usual care’) did not receive any intervention apart from the leaflet outlining the benefits of and advice on tobacco abstinence that every participant in the RCT received at recruitment.

Intervention arms

The development of the RESPREMO smoking relapse prevention intervention was guided by MAPS principles and dyadic efficacy and was informed by our previous work24,25. The dyadic efficacy for smoking cessation is a new concept defined as ‘an individual’s perceptions of confidence about his/her shared abilities to work together with a partner to quit smoking and manage the emotional and practical challenges associated with quitting’10. The delivery of the mHealth intervention began immediately after birth and continued 6 weeks postpartum, for both women and their partners, according to the study group to which the couple was randomly assigned: a) xSmoker – mHealth intervention using the app xSmoker; and b) xSmoker+ – intervention using the xSmoker app and phone text messages with content based on the Motivation and Problem Solving approach informed by our work24,25. The participants (women and life partners) randomized to the intervention arms were either assisted by the data collector in the clinic to install the xSmoker app on their smartphone or they had the chance to install it themselves.

The xSmoker app was developed with European Commission funding. The app xSmoker is a digital health coaching mobile app that helps individuals stop smoking and remain smoke-free. The initial version of the xSmoker application was received from the developers and translated into Romanian by the research team. The content has been divided into three main sections.

Daily tips

These were approximately 630 items that included information on the beneficial effects of quitting smoking, e.g. ‘You have probably already felt very many benefits since you stopped smoking. Your health has improved every day. Your home is cleaner, you have better blood circulation and you have a lower likelihood of serious heart diseases. You also have a better self-image, more self-confidence and a better feeling of control over your life! So, do you still have a reason to start smoking again?’.

Panic tips

These were approximately 100 items that could be accessed at times when the risk of smoking relapse is high, e.g. ‘Having a difficult time? Go for a walk, drink a glass of water or play a game on your phone! Seeking a distraction sounds simple, but it works!’.

Library

These were about 120 items that contained detailed information on the topics included in the first two sections, e.g. ‘Smokers who prepare to stop smoking have more chance of succeeding than smokers who stop impulsively and without thinking. One way to prepare well is to gradually reduce the smoking habit until the smoking threshold is very low.’.

At the beginning of the intervention, participants that were enrolled in one of the intervention groups were encouraged to use all the features of the app, besides the above mentioned main categories, that also included a calculator of the money saved since they stopped smoking and different games and challenges that aim to keep the motivation to remain smoke-free at the highest level. The app also had a so-called ‘panic button’, which the participants were encouraged to push if they smoked or if they felt the urge to smoke. If this happened, the app immediately prompted a message from the Panic tips that would help the participant get over that moment. Both women and their life partners were instructed to install and use the app, which was directly relevant to women (all of whom quit smoking prior to or during pregnancy) and to their life partners who smoked or recently quit smoking.

The app was enhanced with SMS-delivered content addressing the dyadic efficacy and using the MAPS (Motivation and Problem Solving) framework for smoking cessation aiming to improve both partners skills to work as a team to support the prevention of the woman’s postpartum smoking relapse. The content of the messages was based on the 6-year relapse smoking prevention experience of the research team24,25 and on the MAPS framework16, and was enhanced with content supporting dyadic efficacy. MAPS is a relatively new approach to substance use treatment combining motivational enhancement and social cognitive methods based on Motivational Interviewing (MI), the Treating Tobacco Use and Dependence Clinical Practice Guideline21 and social cognitive/relapse prevention theory26. MAPS addresses a weakness in social cognitive/relapse prevention treatments for tobacco smoking cessation, specifically the lack of focus on the fluctuating nature of motivation, by embedding practical problem-solving strategies within a motivational framework, dynamically switching between skills training and motivational enhancement based on motivation to attempt, achieve, and maintain abstinence16.

The development of the SMS text messages was led by AO, the co-author with MI expertise culturally adapted to Romania, currently a member of the Motivational Interviewing Network of Trainers (MINT). Six categories of messages were developed and sent to participants: 1) Importance and trust, 2) Fear of relapse, 3) Partner support, 4) Breastfeeding, 5) The need to smoke, and 6) Relapse. Four major objectives were established based on the content of the SMS text messages, with the help of the literature: 1) Supporting motivation, e.g. ‘Staying smoke-free after birth helps you have an increased level of energy and cope with this busy period. What benefits do you feel?’; 2) Supporting self-efficacy, e.g. ‘Good morning! There has been a lot of changes in your life lately. How do you face them? How could you relax for a few minutes daily?’; 3) Supporting dyadic efficacy, e.g. ‘Good morning! The baby is very important for you but so is the relationship with your partner. What would help you so that you could also spend time with your partner?’; and 4) Developing problem-solving skills, e.g. ‘When you are in a place where people smoke, you can talk to your partner about something else, to draw your attention from them. How does this solution sound?’.

The content of the messages was developed using MI techniques, including the importance/confidence ruler, the decisional balance, looking forward, and goals and values. Various themes were addressed, including the benefits of tobacco abstinence for mother and baby, passive smoking, staying healthy, and having healthy children. Four categories of questions answered by the participants tailored the content of the received text messages: the importance of staying abstinent, the confidence of staying abstinent, coping with relapse situations, and whether the participants lapsed or relapsed smoking.

The SMSs sent to the women’s life partners focused on increasing the woman’s motivation to stay smoke-free (e.g. ‘It is important to you to have a healthy child. Helping the mother to stay smoke-free protects the child from asthma, respiratory infections, and pulmonary disease.’), increasing his confidence in helping the ex-smoker mother stay smoke-free (e.g. ‘What could you do when you see that your partner is tempted to light up a cigarette? How do you feel about talking to her about strategies to avoid smoking that you could develop together? You would be more prepared to resist the temptations.’), and improving her coping with situations at risk for relapse.

The messages were delivered using Textit, a platform for visually building interactive SMS applications (htpps://textit.in). All the messages were uploaded in the platform and different flows and subflows were created for every day of the intervention to automate the process of SMS delivery. A combination of trigger words and skip patterns was used in order to tailor the messages, e.g. the participants could send the word ‘STOP’ at any point if they wanted to stop receiving messages. The two-way interaction offered the participants the opportunity to reply to the received SMSs with numbers or words, depending on the stage of the intervention they were in. Each participant received between two and six messages daily, for the six weeks duration of the intervention. The SMSs content was tailored separately for women and their partners and the messages were sent at different times throughout the day.

Primary outcomes

Feasibility measures included uptake rates, engagement with the app and SMS texts, and follow-up rates in the interventions arm, separately among women and their partners. Seven-day point prevalence abstinence (PPA) and prolonged abstinence (PA) among women will be the primary outcomes assessed at 3 months post-birth. Regarding PPA, women who reported no smoking, not even a puff in the previous 7 days, were mailed a saliva cotinine test and asked to send at least one photo of the completed test. Those with a salivary cotinine <10 ng/mL were considered confirmed non-smokers. PA was defined based on the question ‘Have you smoked tobacco cigarettes over the past 6 months’, with PA failure determined by the answers: ‘Yes, I smoked, but never a whole cigarette’; ‘Yes, I smoked cigarettes, but only occasionally’; or ‘Yes, I smoked cigarettes daily for a period (or periods) of time’.

Intervention engagement

Several measures of app engagement with xSmoker were assessed including: duration of app use, defined as the number of days between first and last use; the frequency of utilizing the tool to calculate savings from quitting; number of app-delivered challenges accepted by users; and number of app-delivered cessation and abstinence tips. Measures of receipt and engagement with the SMS text messages included the number of weeks receiving messages, number of messages received, number of replies from users, and whether users opted out from receiving messages.

Statistical analysis

To assess feasibility, we will analyze group differences in mean satisfaction, duration, mean and frequencies of the xSmoker app use, as well as follow-up rates, along with mixed adjusted multivariate models addressing randomization failures by including the unbalanced baseline variables as covariates. Regarding the efficacy of xSmoker and xSmoker+, we will employ intent-to-treat techniques for all intervention analyses with those lost to follow-up considered relapsed smokers. Distinct analyses will be performed for women and life partners. To test our primary treatment effect hypotheses, we will employ multivariate analyses including random effects regression models (subject-specific effects) and the method of generalized estimating equations (population-averaged effects, fewer assumptions) modeled including the effect of time within participant. All efficacy analyses will include models that will account for the engagement with the app and the receipt of SMS text messages.

DISCUSSION

RESPREMO has the potential to identify effective strategies to prevent postnatal tobacco smoking relapse among women who spontaneously quit smoking before or during pregnancy and are smoke-free at the time they are giving birth. This contribution will be significant because understanding the effectiveness of such an intervention will help health systems design and adopt successful smoking prevention campaigns targeted to couples throughout their reproductive life. The work proposed here sets the foundation for a program of research on dyadic efficacy and smoking cessation, potentially moving forward the field of relapse prevention research. This research is expected to have a significant impact on the methodology and design of clinical and public health interventions during the reproductive years.

Our results have immediate relevance to the Romanian health system, and potentially other health systems. Applications of our research may include mechanisms to integrate and sustain the postpartum smoking relapse intervention in the Romanian health system. The proposed intervention adaptation and mHealth delivery will represent groundwork for building a comprehensive implementation support system for the future scaling up of this pilot intervention. If effective, our intervention could have a major public health impact because it has a large potential for dissemination and adoption into the Romanian national ‘STOP SMOKING’ program that includes a quitline. We anticipate strong potential for the future proactive implementation of the proposed mHealth intervention for couples referred by prenatal health providers, as an extension of the existing quitline in the Romanian universal public health system. Interventions that minimize clinic-based face-to-face contact, such as mHealth approaches, may be useful in increasing the dosage of treatment and improving adherence16. Proactive quitlines are recommended based on strong evidence of effectiveness in increasing tobacco cessation10. While the focus is using pregnancy and the reproductive years as a window of opportunity for couples to remain smoke-free, the approach is relevant for delivering other interventions during the reproductive years.

The RCTs evaluation, currently under way, will report the effects of the RESPREMO intervention on: rates of prolonged and point prevalence maternal smoking abstinence biochemically verified via salivary cotinine, maternal motivation, self-efficacy, dyadic efficacy for smoking cessation, spousal smoking abstinence, and cigarettes per day among those who smoke.

CONCLUSIONS

If effective, RESPREMO is expected to have a sustainable impact on the prevention of postnatal relapse in tobacco smoking with positive effects for both the mother and the newborn. The implications are beyond tobacco control, and relevant to the design and implementation of other mHealth behavioral interventions focused on the pregnancy and reproductive years in general.