Development of SmokeFree Baby: a smoking cessation smartphone app for pregnant smokers

Designing an intervention to help the quitters quit: A qualitative, intervention co-design study

Objective

E-cigarettes are increasingly being provided by publicly funded stop smoking services. Our objectives were to understand the challenges and establish the means by which services could best support the use and subsequent discontinuation of e-cigarettes for this purpose.

Methods

Semi-structured interviews and co-design workshops with service users and providers of a stop smoking service.

Results

Thematic analysis was conducted. Interviews identified: 1. a reluctance to use e-cigarettes for cessation, 2. struggle to quit e-cigarettes (dependency, fear of relapse, compensatory "puffing") and 3. service development needs (consistency of approach). Co-design workshops suggested: 1. facilitation of e-cigarette use through understanding previous failed attempts, 2. offering a longer, two-staged approach to tobacco then e-cigarette cessation, careful timing of behavioural strategies and 3. enhanced communication between providers.

Conclusions

Our study suggests additional modifications to smoking cessation support measures when e-cigarettes are used for smoking cessation to address the challenges posed by public health guidance: "smokers should switch to vaping and vapers should stop smoking completely".

Innovation

Our study is the first to consider experiences of service users and providers about the challenges of using e-cigarettes for cessation; our co-design group of providers informed nine strategies needed to support this approach in practice.

Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach

BACKGROUND

To inform the development of an intervention, it is essential to have a well-developed theoretical understanding of how an intervention causes change, as stated in the UK Medical Research Council guidelines for developing complex interventions. Theoretical foundations are often ignored in the development of mobile health apps intended to support pain self-management for patients with cancer.

OBJECTIVE

This study aims to systematically set a theory- and evidence-driven design for a pain self-management app and specify the app's active features.

METHODS

The Behavior Change Wheel (BCW) framework, a step-by-step theoretical approach to the development of interventions, was adopted to achieve the aim of this study. This started by understanding and identifying sources of behavior that could be targeted to support better pain management. Ultimately, the application of the BCW framework guided the identification of the active contents of the app, which were characterized using the Behavior Change Technique Taxonomy version 1.

RESULTS

The theoretical analysis revealed that patients may have deficits in their capability, opportunity, and motivation that prevent them from performing pain self-management. The app needs to use education, persuasion, training, and enablement intervention functions because, based on the analysis, they were found the most likely to address the specified factors. Eighteen behavior change techniques were selected to describe precisely how the intervention functions can be presented to induce the desired change regarding the intervention context. In other words, they were selected to form the active contents of the app, potentially reducing barriers and serving to support patients in the self-management of pain while using the app.

CONCLUSIONS

This study fully reports the design and development of a pain self-management app underpinned by theory and evidence and intended for patients with cancer. It provides a model example of the BCW framework application for health app development. The work presented in this study is the first systematic theory- and evidence-driven design for a pain app for patients with cancer. This systematic approach can support clarity in evaluating the intervention's underlying mechanisms and support future replication.

Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data

Mobile health applications, which employ wireless technology for healthcare, can aid behaviour change and subsequently improve health outcomes. Mobile health applications have been developed to increase physical activity, but are rarely grounded on behavioural theory and employ simple techniques for personalisation, which has been proven effective in promoting behaviour change. In this work, we propose a theoretically driven and personalised behavioural intervention delivered through an adaptive knowledge-based system. The behavioural system design is guided by the Behavioural Change Wheel and the Capability-Opportunity-Motivation behavioural model. The system exploits the ever-increasing availability of health data from wearable devices, point-of-care tests and consumer genetic tests to issue highly personalised physical activity and sedentary behaviour recommendations. To provide the personalised recommendations, the system firstly classifies the user into one of four diabetes clusters based on their cardiometabolic profile. Secondly, it recommends activity levels based on their genotype and past activity history, and finally, it presents the user with their current risk of developing cardiovascular disease. In addition, leptin, a hormone involved in metabolism, is included as a feedback biosignal to personalise the recommendations further. As a case study, we designed and demonstrated the system on people with type 2 diabetes, since it is a chronic condition often managed through lifestyle changes, such as physical activity increase and sedentary behaviour reduction. We trained and simulated the system using data from diabetic participants of the UK Biobank, a large-scale clinical database, and demonstrate that the system could help increase activity over time. These results warrant a real-life implementation of the system, which we aim to evaluate through human intervention.

A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study

Background

Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are posing a huge burden on health care systems worldwide. Mobile apps can deliver behavior change interventions for chronic disease prevention on a large scale, but current evidence for their effectiveness is limited.

Objective

This paper reported on the development and user testing of a mobile app that aims at increasing risk awareness and engaging users in behavior change. It would form part of an intervention for primary prevention of CVD and T2DM.

Methods

The theoretical framework of the app design was based on the Behaviour Change Wheel, combined with the capability, opportunity, and motivation for behavior change system and the behavior change techniques from the Behavior Change Technique Taxonomy (version 1). In addition, evidence from scientific literature has guided the development process. The prototype was tested for user-friendliness via an iterative approach. We conducted semistructured interviews with individuals in the target populations, which included the System Usability Scale. We transcribed and analyzed the interviews using descriptive statistics for the System Usability Scale and thematic analysis to identify app features that improved utility and usability.

Results

The target population was Australians aged ≥45 years. The app included 4 core modules (risk score, goal setting, health measures, and education). In these modules, users learned about their risk for CVD and T2DM; set goals for smoking, alcohol consumption, diet, and physical activity; and tracked them. In total, we included 12 behavior change techniques. We conducted 2 rounds of usability testing, each involving 5 participants. The average age of the participants was 58 (SD 8) years. Totally, 60% (6/10) of the participants owned iPhone Operating System phones, and 40% (4/10) of them owned Android phones. In the first round, we identified a technical issue that prevented 30% (3/10) of the participants from completing the registration process. Among the 70% (7/10) of participants who were able to complete the registration process, 71% (5/7) rated the app above average, based on the System Usability Scale. During the interviews, we identified some issues related to functionality, content, and language and clarity. We used the participants’ feedback to improve these aspects.

Conclusions

We developed the app using behavior change theory and scientific evidence. The user testing allowed us to identify and remove technical errors and integrate additional functions into the app, which the participants had requested. Next, we will evaluate the feasibility of the revised version of the app developed through this design process and usability testing.

A Video-Based Behavioral Intervention Associated with Improved HPV Knowledge and Intention to Vaccinate

The aim of this study was to design, develop, and evaluate the feasibility of a theory- and evidence-based intervention to improve human papillomavirus (HPV) and HPV vaccine knowledge and intention to vaccinate, among parent–daughter dyads. A theory- and evidence-based online behavioral intervention, “Is the HPV vaccine for me?”, was developed to improve HPV and HPV vaccine knowledge and intention to vaccinate. Knowledge, intention to vaccinate, and feasibility of the intervention were evaluated in a prospective, randomized, controlled feasibility trial. A total of 49 parent–daughter dyads completed the baseline knowledge assessment (n = 24 control, n = 25 intervention), and 35 dyads completed the knowledge assessment at week 2 (n = 17 control, n = 18 intervention). The intervention resulted in a statistically significant increase in HPV and HPV vaccine knowledge and intention to vaccinate. All intervention participants found the video interesting, while 96% found it useful. This intervention was found to be useful, effective, safe, and acceptable in this feasibility study.

The preparation phase in the multiphase optimization strategy (MOST): a systematic review and introduction of a reporting checklist

Multicomponent behavioral interventions developed using the multiphase optimization strategy (MOST) framework offer important advantages over alternative intervention development models by focusing on outcomes within constraints relevant for effective dissemination. MOST consists of three phases: preparation, optimization, and evaluation. The preparation phase is critical to establishing the foundation for the optimization and evaluation phases; thus, detailed reporting is critical to enhancing rigor and reproducibility. A systematic review of published research using the MOST framework was conducted. A structured framework was used to describe and summarize the use of MOST terminology (i.e., preparation phase and optimization objective) and the presentation of preparation work, the conceptual model, and the optimization. Fifty-eight articles were reviewed and the majority focused on either describing the methodology or presenting results of an optimization trial (n = 38, 66%). Although almost all articles identified intervention components (96%), there was considerable variability in the degree to which authors fully described other elements of MOST. In particular, there was less consistency in use of MOST terminology. Reporting on the MOST preparation phase is varied, and there is a need for increased focus on explicit articulation of key design elements and rationale of the preparation phase. The proposed checklist for reporting MOST studies would significantly advance the use of this emerging methodology and improve implementation and dissemination of MOST. Accurate reporting is essential to reproducibility and rigor of scientific trials as it ensures future research fully understands not only the methodology, but the rationale for intervention and optimization decisions.

Codeveloping a multibehavioural mobile phone app to enhance social and emotional well-being and reduce health risks among Aboriginal and Torres Strait Islander women during preconception and pregnancy: a three-phased mixed-methods study

OBJECTIVE

Describe the development and pretest of a prototype multibehavioural change app MAMA-EMPOWER.

DESIGN

Mixed-methods study reporting three phases: (1) contextual enquiry included stakeholder engagement and qualitative interviews with Aboriginal women, (2) value specification included user-workshop with an Aboriginal researcher, community members and experts, (3) codesign with Aboriginal researchers and community members, followed by a pretest of the app with Aboriginal women, and feedback from qualitative interviews and the user-Mobile Application Rating Scale (U-MARS) survey tool.

SETTINGS

Aboriginal women and communities in urban and regional New South Wales, Australia.

PARTICIPANTS

Phase 1: interviews, 8 Aboriginal women. Phase 2: workshop, 6 Aboriginal women. Phase 3: app trial, 16 Aboriginal women. U-MARS, 5 Aboriginal women.

RESULTS

Phase 1 interviews revealed three themes: current app use, desired app characteristics and implementation. Phase 2 workshop provided guidance for the user experience. Phase 3 app trial assessed all content areas. The highest ratings were for information (mean score of 3.80 out of 5, SD=0.77) and aesthetics (mean score of 3.87 with SD of 0.74), while functionality, engagement and subjective quality had lower scores. Qualitative interviews revealed the acceptability of the app, however, functionality was problematic.

CONCLUSIONS

Developing a mobile phone app, particularly in an Aboriginal community setting, requires extensive consultation, negotiation and design work. Using a strong theoretical foundation of behavioural change technique's coupled with the consultative approach has added rigour to this process. Using phone apps to implement behavioural interventions in Aboriginal community settings remains a new area for investigation. In the next iteration of the app, we aim to find better ways to personalise the content to women's needs, then ensure full functionality before conducting a larger trial. We predict the process of development will be of interest to other health researchers and practitioners.

Development of a Theoretically Informed Web-Based Mind-Body Wellness Intervention for Patients With Primary Biliary Cholangitis: Formative Study

Background

Mind-body interventions have the potential to positively impact the symptom burden associated with primary biliary cholangitis (PBC). Interventions are more likely to be effective if they are informed by a theoretical framework. The Behaviour Change Wheel (BCW) and the behaviour change technique taxonomy version 1 (BCTv1) provide frameworks for intervention development.

Objective

This study describes how theory has guided the development of a 12-week multicomponent mind-body wellness intervention for PBC.

Methods

The steps involved in developing the BCW intervention included specifying the target behavior; explaining barriers and facilitators using the Capability, Opportunity, Motivation, and Behaviour and the theoretical domains framework; identifying intervention functions to target explanatory domains; and selecting relevant behavior change techniques to address intervention functions. Qualitative data from patients with inflammatory bowel disease using an earlier version of the program and feedback from a PBC patient advisory team were used to guide intervention development.

Results

Barriers and facilitators to intervention participation associated with capability, opportunity, and motivation were identified. Intervention functions and behavior change techniques were identified to target each barrier and facilitator.

Conclusions

The Peace Power Pack PBC intervention was developed to help individuals with PBC manage their symptom burden. The theoretical frameworks employed in this intervention provide direction on targeting antecedents of behavior and allow standardized reporting of intervention components.

Trial Registration

ClinicalTrials.gov NCT04791527; https://clinicaltrials.gov/ct2/show/NCT04791527

Informing a PCOS Lifestyle Program: Mapping Behavior Change Techniques to Barriers and Enablers to Behavior Change Using the Theoretical Domains Framework

This article aimed to identify the behavior change techniques (BCTs) based on facilitators and barriers to lifestyle management in women with polycystic ovary syndrome (PCOS) according to the behavior change wheel (BCW). This qualitative study design using inductive thematic analysis following semistructured interviews (n = 20) identified barriers and enablers to lifestyle management. These were then mapped to Capability, Opportunity, Motivation-Behavioral Model (COM-B) constructs and the corresponding Theoretical Domains Framework (TDF) domains. This study included women with PCOS residing in Australia. Main outcome measures include intervention functions, policy categories, and BCTs described in the BCW. Twenty-three BCTs were recognized to influence behavior change in women with PCOS. Factors were categorized into the subcomponents of the COM-B: psychological capability (e.g., lack of credible information), physical capability (e.g., managing multiple health conditions), physical opportunity (e.g., limited access to resources), social opportunity (e.g., adequate social support), reflective motivation (e.g., positive health expectancies following behavior change), and automatic motivation (e.g., emotional eating). Future research should use this work to guide PCOS lifestyle intervention development and then test intervention effectiveness through an experimental phase to provide empirical evidence for wider use and implementation of tailored, theory-informed PCOS lifestyle programs as part of evidence-based PCOS management.

Baby Buddy App for Breastfeeding and Behavior Change: Retrospective Study of the App Using the Behavior Change Wheel

Background

Breastfeeding plays a major role in the health of mothers and babies and has the potential to positively shape an individual’s life both in the short and long term. In the United Kingdom (UK), although 81% of women initiate breastfeeding, only 1% of women breastfeed exclusively to 6 months as recommended by the World Health Organization. In the UK, women who are socially disadvantaged and younger are less likely to breastfeed at 6 to 8 weeks postpartum. One strategy that aims to improve these statistics is the Baby Buddy app, which has been designed and implemented by the UK charity Best Beginnings to be a universal intervention to help reduce health inequalities, including those in breastfeeding.

Objective

This study aimed to retrospectively examine the development of Baby Buddy by applying the Behavior Change Wheel (BCW) framework to understand how it might increase breastfeeding self-efficacy, knowledge, and confidence.

Methods

Retrospective application of the BCW was completed after the app was developed and embedded into maternity services. A three-stage process evaluation used triangulation methods and formalized tools to gain an understanding of the potential mechanisms and behaviors used in apps that are needed to improve breastfeeding rates in the UK. First, we generated a behavioral analysis by mapping breastfeeding barriers and enablers onto the Capability, Opportunity, and Motivation-Behavior (COM-B) system using documents provided by Best Beginnings. Second, we identified the intervention functions and policy categories used. Third, we linked these with the behavior change techniques identified in the app breastfeeding content using the Behavior Change Techniques Taxonomy (BCTTv1).

Results

Baby Buddy is a well-designed platform that could be used to change breastfeeding behaviors. Findings from stage one showed that Best Beginnings had defined breastfeeding as a key behavior requiring support and demonstrated a thorough understanding of the context in which breastfeeding occurs, the barriers and enablers of breastfeeding, and the target actions needed to support breastfeeding. In stage two, Best Beginnings had used intervention and policy functions to address the barriers and enablers of breastfeeding. In stage three, Baby Buddy had been assessed for acceptability, practicability, effectiveness, affordability, safety, and equity. Several behavior change techniques that could assist women with decision making around breastfeeding (eg, information about health consequences and credible sources) and possibly affect attitudes and self-efficacy were identified. Of the 39 videos in the app, 19 (49%) addressed physical capabilities related to breastfeeding and demonstrated positive breastfeeding behaviors.

Conclusions

Applying a theoretical framework retrospectively to a mobile app is possible and results in useful information to understand potential health benefits and to inform future development. Future research should assess which components and behavioral techniques in the app are most effective in changing behavior and supporting breastfeeding.

Smartphone-based financial incentives to promote smoking cessation during pregnancy: A pilot study

Cigarette smoking during pregnancy increases risk for pregnancy complications, growth restriction, and other adverse health outcomes. The most effective intervention for reducing smoking during pregnancy is financial incentives contingent on biochemically-verified smoking abstinence. The present study examined the efficacy of a smartphone-based intervention whereby smoking monitoring and incentive delivery occurred remotely using a mobile app. If efficacious, this remote intervention would allow pregnant women residing in geographically remote areas to benefit from incentives-based cessation interventions. Sixty U.S. pregnant smokers were recruited between May 2018 to May 2019 via obstetrical clinics, Women, Infants, and Children (WIC) offices, and Facebook. Participants were assigned sequentially to one of two treatments: best practices alone (N = 30) or best practices plus financial incentives (N = 30). Outcomes were analyzed using repeated measures analysis based on generalized estimating equations (GEE). Seven-day point prevalence abstinence rates were greater in the incentives versus best practices arms early- (46.7% vs 20.0%, OR = 3.50, 95%CI = 1.11,11.02) and late-antepartum (36.7% vs 13.3%, OR = 3.76, 95%CI = 1.04,13.65), and four- (36.7% vs 10.0%, OR = 5.21, 95%CI = 1.28,21.24) and eight-weeks postpartum (40.0% vs 6.7%, OR = 9.33, 95%CI = 1.87,46.68), although not at the 12- (23.3% vs 10.0%, OR = 2.74, 95%CI = 0.63,11.82) or 24-week (20.0% vs 6.7%, OR = 3.50, 95%CI = 0.65,18.98) postpartum assessments likely due to this pilot study being underpowered for discerning differences at the later assessments, especially 24-weeks postpartum which was three months after treatment completion. These results support the efficacy of this remote, incentives-based intervention for pregnant smokers. Further research evaluating its efficacy and cost-effectiveness in a well-powered, randomized controlled trial appears warranted.

Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

BACKGROUND

The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools.

OBJECTIVE

This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults.

METHODS

We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF).

RESULTS

Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical opportunity factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social opportunity factors. Finally, the motivation factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E).

CONCLUSIONS

Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps.

Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study

BACKGROUND

Technological solutions, particularly mobile health (mHealth), have been shown to be potentially viable approaches for sustaining individuals' self-management of chronic health conditions. Theory-based interventions are more successful, as evidence-based information is an essential prerequisite for appropriate self-management. However, several reviews have shown that many existing mobile apps fail to be either theoretically grounded or based on evidence. Although some authors have attempted to address these two issues by focusing on the design and development processes of apps, concrete efforts to systematically select evidence-based content are scant.

OBJECTIVE

The objective of this study was to present a procedure for the participatory identification of evidence-based content to ground the development of a self-management app.

METHODS

To illustrate the procedure, we focused on the prevention and management of pressure injuries (PIs) in individuals with spinal cord injury (SCI). The procedure involves the following three steps: (1) identification of existing evidence through review and synthesis of existing recommendations on the prevention and self-management of PIs in SCI; (2) a consensus meeting with experts from the field of SCI and individuals with SCI to select the recommendations that are relevant and applicable to community-dwelling individuals in their daily lives; and (3) consolidation of the results of the study.

RESULTS

In this case study, at the end of the three-step procedure, the content for an mHealth intervention was selected in the form of 98 recommendations.

CONCLUSIONS

This study describes a procedure for the participatory identification and selection of disease-specific evidence and professional best practices to inform self-management interventions. This procedure might be especially useful in cases of complex chronic health conditions, as every recommendation in these cases needs to be evaluated and considered in light of all other self-management requirements. Hence, the agreement of experts and affected individuals is essential to ensure the selection of evidence-based content that is considered to be relevant and applicable.

Technology-Supported Interventions for Pregnant Women: A Systematic Review

Technology is deeply embedded in daily life; thus, more pregnant women seek information through the Internet and incorporate the use of technological devices during their pregnancies. This systematic review aimed to examine to what extent and how technology-supported interventions were developed and delivered to pregnant women, as well as intervention effects on the targeted outcomes. Electronic data were collected from MEDLINE, CINAHL, and Scopus. Among the 11 selected studies, most were pilot studies to test the feasibility, acceptability, or preliminary effects of technology-supported interventions. The studies included both women with healthy pregnancies and pregnancies complicated by factors including preterm labor, smoking, and alcohol abuse. Most were conducted in the US, and most participants were white or African American. Interventions were primarily developed by research teams and focused on mental health issues including depression, anxiety, and stress. Interventions incorporated the use of technology including computers, mobile phones, and audiovisual aids. The overall interventions were reported to be feasible, acceptable, and beneficial in all the selected studies. Based on the review of literature, suggestions were provided for future research including the need for careful selection of intervention topics and objectives to target women who can benefit more from technology-supported interventions.

Iterative four-phase development of a theory-based digital behaviour change intervention to reduce occupational sedentary behaviour

Introduction

As high amounts of occupational sitting have been associated with negative health consequences, designing workplace interventions to reduce sedentary behaviour (SB) is of public health interest. Digital technology may serve as a cost-effective and scalable platform to deliver such an intervention. This study describes the iterative development of a theory-based, digital behaviour change intervention to reduce occupational SB.

Methods

The behaviour change wheel and The Behaviour Change Technique Taxonomy were used to guide the intervention design process and form a basis for selecting the intervention components. The development process consisted of four phases: phase 1 – preliminary research, phase 2 – consensus workshops, phase 3 – white boarding and phase 4 – usability testing.

Results

The process led to the development and refinement of a smartphone application – Worktivity. The core component was self-monitoring and feedback of SB at work, complemented by additional features focusing on goal setting, prompts and reminders to break up prolonged periods of sitting, and educational facts and tips. Key features of the app included simple data entry and personalisation based on each individual’s self-reported sitting time. Results from the ‘think-aloud’ interviews (n=5) suggest Worktivity was well accepted and that users were positive about its features.

Conclusion

This study led to the development of Worktivity, a theory-based and user-informed mobile app intervention to reduce occupational SB. It is the first app of its kind developed with the primary aim of reducing occupational SB using digital self-monitoring. This paper provides a template to guide others in the development and evaluation of technology-supported behaviour change interventions.

Midwives' engagement in smoking- and alcohol-prevention in prenatal care before and after the introduction of practice guidelines in Switzerland: comparison of survey findings from 2008 and 2018

Background

Evidence suggests that cigarette smoking and alcohol consumption during pregnancy negatively impacts fetal health. Health agencies across countries have developed specific guidelines for health professionals in perinatal care to strengthen their role in smoking and alcohol use prevention. One such example is the “Guideline on Screening and Counselling for prevention of cigarette smoking and alcohol consumption before, during, and after pregnancy” introduced by the Swiss Midwives Association in 2011. The current study assesses the changes in midwives’ engagement in smoking and alcohol use prevention before (2008) and after the introduction of the Guideline (2018). Further, the current study examines differences across regions (German vs. French speaking regions), graduation years (before and after the introduction of the Guideline) and different work settings (hospital vs. self-employed).

Methods

Survey data were collected in 2008 (n = 366) and in 2018 (n = 459). Differences in how midwives engaged in smoking and alcohol use prevention between 2008 and 2018 were assessed with chi-square tests, as were differences across German and French speaking regions, graduation years (before and after the introduction of the Guideline) and across different work settings (working in hospitals or as self-employed).

Results

An increase in midwives’ awareness of the risks of consuming even small quantities of cigarettes and alcohol for the unborn child between 2008 and 2018 is evident. Explaining the risks to pregnant women who smoke or use alcohol remained the most frequently reported prevention strategy. However, engagement with more extensive smoking and alcohol use preventive strategies across the whole course of pregnancy, such as assisting women in the elaboration of a plan to stop smoking/alcohol use, remained limited.

Conclusions

Seven years after its introduction, the effectiveness of the Guideline in increasing midwives’ engagement in smoking and alcohol use prevention appears limited despite midwives’ increased awareness.

How is the theoretical domains framework applied to developing health behaviour interventions? A systematic search and narrative synthesis

BACKGROUND

Enabling behaviour change in health care is a complex process. Although the use of theory to inform behaviour change interventions is advocated, there is limited information about how this might best be achieved. There are multiple models of behaviour change, however, due to their complexity they can be inaccessible to both researchers and healthcare practitioners. To support health care practitioner behaviour change, this was addressed by the development of the Theoretical Domains Framework (TDF) in 2005. Citations of the TDF and associated papers have increased exponentially. Although not predicted or intended by the authors, the TDF has also been used to investigate health behaviour change interventions. Therefore our aim was to narratively synthesize empirical evidence on how the TDF and subsequent iterations have been applied in health behaviour change to inform future intervention development.

METHODS

Systematic search of four online databases, combined with searches for citations of key papers and key author searches, resulted in 3551 articles eligible for screening. Of these 10 met the pre-determined inclusion criteria. Screening of full-texts, data extraction and quality appraisal were independently performed by both authors. Disagreements regarding eligibility were resolved through discussion.

RESULTS

Of the 10 included studies three used the TDF and seven used subsequent iterations, the Capability, Opportunity, Motivation to Behaviour / Behaviour Change Wheel to assess and /or categorise behavioural determinants to identify relevant behaviour change techniques. Two studies reported feasibility testing. Most interventions were targeted at diet and exercise. Eight reported an explicit and systematic process in applying the framework.

CONCLUSION

There is limited evidence of how the framework has been used to support health behaviour change interventions. In the included studies the process of using the framework is not always reported in detail or with clarity. More recent studies use a systematic and judicious process of framework application. From the limited evidence available we tentatively suggest that the steps proposed in the BCW appear to be sufficient for development of interventions that target health behaviour change interventions. Further research is needed to provide evidence in how the framework may be most effectively applied to intervention development.

PROTOCOL REGISTRATION

PROSPERO CRD42018086896 .

Randomized factorial experiment of components of the SmokeFree Baby smartphone application to aid smoking cessation in pregnancy

Smartphone applications (apps) might be able to reach pregnant smokers who do not engage with face-to-face support. However, we do not know how far pregnant smokers will engage with smoking cessation apps or what components are likely to be effective. This study aimed to assess pregnant smokers' engagement with the SmokeFree Baby app (v1) and to assess the short-term efficacy of selected components ("modules") for smoking abstinence. Positive outcomes would provide a basis for further development and evaluation. SmokeFree Baby was developed drawing on behavior change theories and relevant evidence. Pregnant smokers (18+) who were interested in quitting and set a quit date were recruited. Following multiphase optimization development principles, participants (N = 565) were randomly allocated to one of 32 (2 × 2 × 2 × 2 × 2) experimental groups in a full factorial design to evaluate five modules (each in minimal and full version: identity, health information, stress management, face-to-face support, and behavioral substitution). Measures of engagement included duration and frequency of engagement with the app. Smoking abstinence was measured by self-reported number of smoke-free days up to 4 weeks from the quit date. Participants engaged with the app for a mean of 4.5 days (SD = 8.5) and logged in a mean of 2.9 times (SD = 3.1). Main effects of the modules on the number of smoke-free days were not statistically significant (identity: p = .782, health information: p = .905, stress management: p = .103, face-to-face support: p = .397, behavioral substitution: p = .945). Despite systematic development and usability testing, engagement with SmokeFree Baby (v1) was low and the app did not appear to increase smoking abstinence during pregnancy.

Mobile Applications for the Treatment of Tobacco Use and Dependence

PURPOSE OF REVIEW

Smoking remains a leading preventable cause of premature death in the world; thus, developing effective and scalable smoking cessation interventions is crucial. This review uses the Obesity-Related Behavioral Intervention Trials (ORBIT) model for early phase development of behavioral interventions to conceptually organize the state of research of mobile applications (apps) for smoking cessation, briefly highlight their technical and theory-based components, and describe available data on efficacy and effectiveness.

RECENT FINDINGS

Our review suggests that there is a need for more programmatic efforts in the development of mobile applications for smoking cessation, though it is promising that more studies are reporting early phase research such as user-centered design. We identified and described the app features used to implement smoking cessation interventions, and found that the majority of the apps studied used a limited number of mechanisms of intervention delivery, though more effort is needed to link specific app features with clinical outcomes. Similar to earlier reviews, we found that few apps have yet been tested in large well-controlled clinical trials, although progress is being made in reporting transparency with protocol papers and clinical trial registration.

SUMMARY

ORBIT is an effective model to summarize and guide research on smartphone apps for smoking cessation. Continued improvements in early phase research and app design should accelerate the progress of research in mobile apps for smoking cessation.

What do cost-effective health behaviour-change interventions contain? A comparison of six domains

OBJECTIVES

To help implement behaviour change interventions (BCIs) in practice it is important to be able to characterize their key components. This study compared broad features of cost-effective BCIs that addressed smoking, diet, physical activity, alcohol and sexual health. It also assessed the association of these with the magnitude of the cost-effectiveness estimates.

METHODS

A content analysis of 79 interventions based on 338 intervention descriptions was conducted, using the Behaviour Change Wheel (BCW) to classify intervention content in terms of intervention functions, and the BCT taxonomy to identify and categorise component Behaviour Change Techniques (BCT). Regression analysis identified the association of these with upper (pessimistic) and lower (optimistic) cost-effectiveness estimates.

RESULTS

The most and least common functions and BCT clusters were education (82.3%) and shaping knowledge (79.7%), and coercion (3.8%) and covert learning (2.5%). Smoking interventions contained the largest ([Formula: see text] = 12) number of BCTs and were most cost-effective. Several other factors were associated with worse (coercionfunction βupper = 36551.24; shaping knowledgeBCT βlower = 2427.78; comparison of outcomesBCT βupper = 9067.32; repetition and substitutionBCT βupper = 7172.47) and better (modellingfunction βlower = -2905.3; environmental restructuringfunction βupper = -8646.28; reward and threatBCT βupper = -5577.59) cost-effectiveness (p<0.05).

DISCUSSION

Cost-effective BCIs rely heavily on education with smoking interventions exhibiting the most comprehensive range of BCTs. Providing an example to aspire to, restructuring the environment and rewarding positive behaviour may be associated with greater cost-effectiveness.

Exploring Efficacy of a Serious Game (Tobbstop) for Smoking Cessation During Pregnancy: Randomized Controlled Trial

Background

Tobacco use during pregnancy entails a serious risk to the mother and harmful effects on the development of the child. Europe has the highest tobacco smoking prevalence (19.3%) compared with the 6.8% global mean. Between 20% to 30% of pregnant women used tobacco during pregnancy worldwide. These data emphasize the urgent need for community education and implementation of prevention strategies focused on the risks associated with tobacco use during pregnancy.

Objective

The aim of this study was to investigate the efficacy of an intervention that incorporates a serious game (Tobbstop) to help pregnant smokers quit smoking.

Methods

A two-arm randomized controlled trial enrolled 42 women who visited 2 primary care centers in Catalonia, Spain, between March 2015 and November 2016. All participants were pregnant smokers, above 18 years old, attending consultation with a midwife during the first trimester of pregnancy, and had expressed their desire to stop smoking. Participants were randomized to the intervention (n=21) or control group (n=21). The intervention group was instructed to install the game on their mobile phone or tablet and use it for 3 months. Until delivery, all the participants were assessed on their stage of smoking cessation during their follow-up midwife consultations. The primary outcome was continuous tobacco abstinence until delivery confirmed by the amount of carbon monoxide at each visit, measured with a carboxymeter.

Results

Continuous abstinence until delivery outcome was 57% (12/21) in the intervention group versus 14% (3/21) in the control group (hazard ratio=4.31; 95% CI 1.87-9.97; P=.001). The mean of total days without smoking until delivery was higher in the intervention group (mean 139.75, SD 21.76) compared with the control group (mean 33.28, SD 13.27; P<.001). In addition, a Kapplan-Meier survival analysis showed that intervention group has a higher abstinence rate compared with the control group (log-rank test, χ²₁=13.91; P<.001).

Conclusions

Serious game use is associated with an increased likelihood to maintain abstinence during the intervention period if compared with those not using the game. Pregnancy is an ideal opportunity to intervene and control tobacco use among future mothers. On the other hand, serious games are an emerging technology, growing in importance, which are shown to be a good tool to help quitting smoking during pregnancy and also to maintain this abstinent behavior. However, because of the study design limitations, these outcomes should be interpreted with caution. More research, using larger samples and longer follow-up periods, is needed to replicate the findings of this study.

Trial Registration

ClinicalTrials.gov NCT01734421; https://clinicaltrials.gov/ct2/show/NCT01734421 (Archived by WebCite at http://www.webcitation.org/75ISc59pB)

The development of Drink Less: an alcohol reduction smartphone app for excessive drinkers

Excessive alcohol consumption poses a serious problem for public health. Digital behavior change interventions have the potential to help users reduce their drinking. In accordance with Open Science principles, this paper describes the development of a smartphone app to help individuals who drink excessively to reduce their alcohol consumption. Following the UK Medical Research Council's guidance and the Multiphase Optimization Strategy, development consisted of two phases: (i) selection of intervention components and (ii) design and development work to implement the chosen components into modules to be evaluated further for inclusion in the app. Phase 1 involved a scoping literature review, expert consensus study and content analysis of existing alcohol apps. Findings were integrated within a broad model of behavior change (Capability, Opportunity, Motivation-Behavior). Phase 2 involved a highly iterative process and used the "Person-Based" approach to promote engagement. From Phase 1, five intervention components were selected: (i) Normative Feedback, (ii) Cognitive Bias Re-training, (iii) Self-monitoring and Feedback, (iv) Action Planning, and (v) Identity Change. Phase 2 indicated that each of these components presented different challenges for implementation as app modules; all required multiple iterations and design changes to arrive at versions that would be suitable for inclusion in a subsequent evaluation study. The development of the Drink Less app involved a thorough process of component identification with a scoping literature review, expert consensus, and review of other apps. Translation of the components into app modules required a highly iterative process involving user testing and design modification.

Leveraging technology to address the problem of cigarette smoking among women of reproductive age

Women of reproductive age and particularly pregnant women underutilize evidence-based smoking cessation services such as counseling and quit lines. Mobile health (mHealth) may constitute an unexplored and innovative avenue for providing smoking cessation support to a population that is otherwise difficult to reach with evidence-based interventions. Female respondents aged 18-44 years (N = 10,023) were drawn from the first wave of the Population Assessment of Tobacco and Health (PATH) study (2013-2014). We examined prevalence of use of various digital forms of communication (e.g., social media, text messaging, smartphone ownership) among non-pregnant women of reproductive age, pregnant women, and among smokers versus non-smokers within these groups. Multiple logistic regression modeling was conducted to identify correlates of using each digital form adjusting for smoking status, pregnancy, and demographic characteristics. Over two thirds of women overall and within subgroups of non-pregnant and pregnant smokers reported using social media, owning a cell phone, owning a smartphone, downloading apps, and sending/receiving text messages. Current smokers and those with lower educational attainment generally had lower odds of using each digital form relative to non-smokers and those with higher educational attainment, the exception being that smokers had higher odds of using social media relative to non-smokers. The high prevalence of using various digital forms among both non-pregnant smokers of reproductive age and pregnant smokers suggests that leveraging technology to expand access to prevention, education, and treatment resources may reduce smoking-attributable adverse health effects among reproductive-aged women and their offspring.

Kick.it: The development of an evidence-based smoking cessation smartphone app

Currently, the evidence for mobile health (mHealth) smoking cessation interventions is limited and heterogeneous, warranting the need for innovative rigorously developed solutions. The aim of this study was to describe the development of a smoking cessation smartphone application (app) developed using evidence-based principles. The app (Kick.it) was designed using the Intervention Mapping framework, incorporating an extensive literature review and qualitative study, in combination with the Behavioural Change Taxonomy v1, the Theoretical Domains Framework, and the Persuasive System Design framework. Kick.it provides quit smoking education, skills training, motivational content and self-regulation functionality for smokers, as well as their social support network. By logging cravings and cigarettes smoked, users will create their own smoking profile, which will be used to provide tailored interventions. It hosts a social network to allow 24/7 social support and provides in-app tools to help with urges to smoke. The app aims to motivate smokers to retry if they slip-up or relapse, allowing them to learn from previous smoking cessation attempts. Rather than basing the app on a singular behavioral change approach, Kick.it will use elements stemming from a variety of behavioral approaches by combining methods of multiple psychological theories. The use of best-practice intervention development frameworks in conjunction with evidence-based behavioral change techniques is expected to result in a smartphone app that has an optimal chance of helping people to quit smoking.

Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game

Background

Gaming techniques are increasingly recognized as effective methods for changing behavior and increasing user engagement with mobile phone apps. The rapid uptake of mobile phone games provides an unprecedented opportunity to reach large numbers of people and to influence a wide range of health-related behaviors. However, digital interventions are still nascent in the field of health care, and optimum gamified methods of achieving health behavior change are still being investigated. There is currently a lack of worked methodologies that app developers and health care professionals can follow to facilitate theoretically informed design of gamified health apps.

Objective

This study aimed to present a series of steps undertaken during the development of Cigbreak, a gamified smoking cessation health app.

Methods

A systematic and iterative approach was adopted by (1) forming an expert multidisciplinary design team, (2) defining the problem and establishing user preferences, (3) incorporating the evidence base, (4) integrating gamification, (5) adding behavior change techniques, (6) forming a logic model, and (7) user testing. A total of 10 focus groups were conducted with 73 smokers.

Results

Users found the app an engaging and motivating way to gain smoking cessation advice and a helpful distraction from smoking; 84% (62/73) of smokers said they would play again and recommend it to a friend.

Conclusions

A dedicated gamified app to promote smoking cessation has the potential to modify smoking behavior and to deliver effective smoking cessation advice. Iterative, collaborative development using evidence-based behavior change techniques and gamification may help to make the game engaging and potentially effective. Gamified health apps developed in this way may have the potential to provide effective and low-cost health interventions in a wide range of clinical settings.

The Bridge: A mobile application for burn patients

Global use of the internet has become commonplace, and smart phones have paved the way for technological mobility. Incorporation of smart phone technology has the potential to positively affect health outcomes through use of health-directed applications (apps), particularly for those patients living in medically underserved areas. The Bridge Mobile App for Burn Patients (fka: HealthySteps), is a pilot project that was developed to address the unique recovery needs of patients with major burn injuries who are being discharged from a regional burn center. App content was developed from three focus groups to explore and elucidate on stakeholders' understandings of the bio-psycho-social education and messages that they believed would improve short-term outcomes for newly discharged burn patients. The app will provide burn patients with accessible support 24h a day, seven days a week. Original recovery-stage appropriate bio-psycho-social content, instructional videos and links to burn-supportive web sites are delivered directly to patients' smart phones for the first 90days following discharge. The primary goal for the Bridge App is to decrease unplanned hospital re-admissions, while supporting increased quality of life and resilience in short-term recovery. In addition, the Bridge Mobile App is designed to collect patient data reflecting pain, anxiety, mood, itching, medication compliance, social participation, self-efficacy and return to work on a password protected, HIPPA compliant, encrypted mainframe.

Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis

Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore: (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95% CI 1.04-2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95% CI 1.28-7.33) and text-message interventions (OR = 1.59, 95% CI 1.07-2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation: information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.

Exploring Grandparents' Roles in Young Children's Lifestyle Behaviors and the Prevention of Childhood Obesity: An Australian Perspective

Childhood obesity remains a significant public health issue. Because lifestyle behaviors and weight are established early and track through life stages, prevention strategies must commence in the first years of life. Traditionally, such strategies target parents or formal child care providers. Yet grandparents are increasingly providing care to grandchildren and therefore have an important role in their eating and activity behaviors, which creates a major research gap. This commentary piece, focusing on the Australian context, argues that it is imperative and timely for obesity prevention research to include investigations regarding the role of grandparents in the prevention of obesity-related behaviors in young children.

Crush the Crave: Development and Formative Evaluation of a Smartphone App for Smoking Cessation

Background

Emerging evidence supports the use of smartphone apps for smoking cessation, especially in young adults given their high smoking rates and high smartphone ownership rates. Although evaluative evidence is encouraging for supporting smoking cessation, there remains a paucity of research describing the design and development processes of mobile health (mHealth) interventions.

Objective

The aim of this paper was to describe the process of developing Crush the Crave (CTC), an evidence-informed app to support smoking cessation in young adults, and the results of a formative evaluation of app usage behavior, as part of a broader program of research that seeks to establish the effectiveness of the CTC app.

Methods

The Spiral Technology Action Research (STAR) 5-cycle model (listen, plan, do, act, and study) was employed to guide the development, implementation, and dissemination of CTC. The approach to development and formative evaluation included focus groups with young adult smokers (n=78) across 2 phases, analysis of the content of existing apps, 2 sessions with content experts, and Google Analytics to assess user behavior during a 12-month pilot.

Results

LISTEN—focus groups revealed young adult smoker preferences of (1) positive reinforcement, (2) personalization, (3) social support, (4) quit support, (5) tracking the behavior, and (6) tracking quit benefits. PLAN—informed by evidence for smoking cessation, young adult preferences and an assessment of popular cessation apps, content experts produced a mind map and a storyboard describing app content and structure. DO—focus groups with young adult smokers provided feedback on the first version of the app with opinions on content and suggestions for improvement such as providing alerts and distractions from craving. ACT—refinements were made, and app content was organized using the 4 key design components informed by principles of persuasive technology for behavior change: credibility, task support, dialogue support, and social support. CTC was launched in April 2013 and piloted from the period July 2013 to June 2014 where 1987 Android users had 18,567 sessions, resulting in 59,384 page views and 89.58% (1780/1987) of users returning within the same day to use CTC. STUDY—a pragmatic randomized controlled trial of CTC was launched in August 2014 to demonstrate that including mHealth technology as a population-based intervention can help young adult smokers to quit. The results of this phase will be presented in a subsequent publication.

Conclusions

CTC is one of the first smoking cessation apps designed to meet the needs of young adult smokers. The development was informed by the inclusion of young adults in the design and the systematic application of multiple stakeholder input, scientific evidence, and theory. The STAR model approach was followed from the beginning of intervention development, which should facilitate optimization of mHealth interventions in the future.

Trial Registration

ClinicalTrials.gov NCT01983150; http://clinicaltrials.gov/ct2/show/NCT01983150 (Archived by WebCite at http://www.webcitation.org/6VGyc0W0i)

Feasibility of e-Health Interventions on Smoking Cessation among Vietnamese Active Internet Users

Introduction: Although e-health interventions are widely implemented as a supportive measure to smoking cessation, there is a lack of evidence in the feasibility of its application among Vietnamese youths, which is considered to be one of the most frequent internet using populations. This study assessed the quitting attempts among smokers and their preference and willingness to pay for smartphone-based cessation supporting applications in a sample of active internet users approached. Methods: A total of 1082 participants were recruited for the online-based survey from August to October 2015 in Vietnam. Information on sociodemographic characteristics, health information seeking behaviors on the internet, smoking status, quitting attempts and willingness to pay for smartphone-based cessation supporting applications were collected. Multivariate logistic regression was used to determine the associated factors with current smoking and willingness to pay for the smoking cessation application. Results: About 11% of participants were current smokers while 73.4% had attempted to quit smoking. Only 26.8% of the individuals indicated that they were willing to utilize a smartphone application to assist them in quitting. Participants who were male, had partners/spouse and lived at other places were more likely to smoke cigarette. Meanwhile, people who spent 50–70% of their online time to read health information were less likely to smoke. Results also show that living with family and never sharing health information on the internet were negatively associated with a participant’s willingness to pay for the smartphone application. Meanwhile, people who highly trusted health information were more likely to be willing to pay for the application. Conclusions: This prevalence of smoking and associated factors can provide potential indicators for creating several public health interventions in the new environment with the increasing development of information technology. This study implies that in order to expand the coverage of smoking cessation interventions, we recommend the integration of e-health interventions with clinical- or telephone-based conventional models by providing smartphone applications and information on the internet from reliable sources.

[Smoking cessation and pregnancy]

Active and passive smoking during pregnancy induce several deleterious effects that may have a negative impact on pregnancy progress, fetus development and both mother and newborn health. Smoking cessation should be a rule for any woman as soon as the beginning of her pregnancy, or better in anticipation of a pregnancy when contraception is no more taken. Every caregiver must help every pregnant woman who smokes to quit smoking. Smoking cessation interventions in pregnant women must combine a psychological support (mainly with cognitive behavioral therapy) and nicotine replacement therapy, which can also be used during breast feeding. It is recommended to adjust the dosage of nicotine replacement therapy according to the symptoms of under or over dosage at the end of the first week of use. On the other hand, vareniclin and bupropion are contra-indicated during pregnancy or breast-feeding. Electronic cigarette is not advised during pregnancy. Prevention of smoking relapse in postpartum period is essential since a percentage as high as 50% of women having quit during their pregnancy resume smoking during the 6 months following delivery.

Feasibility of a Smartphone website to support antenatal Perineal massage in pregnant women

Background

In Japan, 85% of pregnant women do not practice antenatal perineal massage. Therefore, we developed a smartphone website to support the practice of antenatal perineal massage. The purpose of the present study was to evaluate the feasibility of our smartphone website.

Methods

Pregnant women were recruited at five hospitals or clinics in Tokyo, Japan. Participants assigned to the smartphone website group (n = 74) were asked to register on the smartphone website. After completing registration, they could login and use all the contents of the website. After giving birth, participants completed a 5-item questionnaire evaluating the acceptability of the smartphone website. Participants assigned to the leaflet group (n = 71) received a leaflet on antenatal perineal massage and completed a similar 4-item questionnaire evaluating the leaflet. Data were collected from April 2014 to November 2014. Data analysis was performed using chi-square and t-tests to analyze responses to close-ended questions, and content analysis was conducted to analyze responses of open-ended questions.

Results

In the smartphone website group, 9 women (12.2%) did not register on the smartphone website. Approximately 80% of the women who responded indicated that the smartphone site was easy to understand and useful for practicing antenatal perineal massage. In the smartphone website group, the reply rate for reporting the frequency of massage was 43.6%. Although the ratings and frequency at which the material was accessed tended to be higher in the smartphone website group than in the leaflet group, there were no significant differences.

Conclusions

Most pregnant women in the smartphone website group provided a favorable evaluation for the smartphone website. However, some participants had suggestions for improvement, which need to be incorporated in a revised version of the website. Therefore, the present study’s results demonstrate the feasibility of a smartphone website to support the practice of antenatal perineal massage, and they may aid in the development of similar web-based educational material for pregnant women.

Trial registration

This trial was registered with the UMIN Clinical Trials Registry (UMIN000013979) on May 16, 2014.

Designing an implementation intervention with the Behaviour Change Wheel for health provider smoking cessation care for Australian Indigenous pregnant women

BACKGROUND

Indigenous smoking rates are up to 80% among pregnant women: prevalence among pregnant Australian Indigenous women was 45% in 2014, contributing significantly to the health gap for Indigenous Australians. We aimed to develop an implementation intervention to improve smoking cessation care (SCC) for pregnant Indigenous smokers, an outcome to be achieved by training health providers at Aboriginal Medical Services (AMS) in a culturally competent approach, developed collaboratively with AMS.

METHOD

The Behaviour Change Wheel (BCW), incorporating the COM-B model (capability, opportunity and motivation for behavioural interventions), provided a framework for the development of the Indigenous Counselling and Nicotine (ICAN) QUIT in Pregnancy implementation intervention at provider and patient levels. We identified evidence-practice gaps through (i) systematic literature reviews, (ii) a national survey of clinicians and (iii) a qualitative study of smoking and quitting with Aboriginal mothers. We followed the three stages recommended in Michie et al.'s "Behaviour Change Wheel" guide.

RESULTS

Targets identified for health provider behaviour change included the following: capability (psychological capability, knowledge and skills) by training clinicians in pharmacotherapy to assist women to quit; motivation (optimism) by presenting evidence of effectiveness, and positive testimonials from patients and clinicians; and opportunity (environmental context and resources) by promoting a whole-of-service approach and structuring consultations using a flipchart and prompts. Education and training were selected as the main intervention functions. For health providers, the delivery mode was webinar, to accommodate time and location constraints, bringing the training to the services; for patients, face-to-face consultations were supported by a booklet embedded with videos to improve patients' capability, opportunity and motivation.

CONCLUSIONS

The ICAN QUIT in Pregnancy was an intervention to train health providers at Aboriginal Medical Services in how to implement culturally competent evidence-based practice including counselling and nicotine replacement therapy for pregnant patients who smoke. The BCW aided in scientifically and systematically informing this targeted implementation intervention based on the identified gaps in SCC by health providers. Multiple factors impact at systemic, provider, community and individual levels. This process was therefore important for defining the design and intervention components, prior to a conducting a pilot feasibility trial, then leading on to a full clinical trial.

Usability testing of a smoking cessation smartphone application ('SmokeFree Baby'): A think-aloud study with pregnant smokers

BACKGROUND

Only a few digital interventions have been developed for pregnant smokers, and little is known about the acceptability and usability of smartphone apps to aid cessation in pregnancy. This study aimed to explore pregnant smokers' views on the design, content and usability of a pregnancy-specific smoking cessation app in order to inform intervention development and optimisation.

METHODS

Ten interviews were conducted and the 'think-aloud' protocol was used in order to explore participants' views about a smoking cessation smartphone app ('SmokeFree Baby'). The data were subsequently thematically analysed. Participants were 18 and over, pregnant, and daily or weekly cigarette smokers.

RESULTS

Three main themes were identified: views about the design elements, mode of delivery and content of the intervention. App design was considered as an important element that might influence potential users' engagement with the intervention. Participants felt that the intervention content was educational, motivational and non-judgemental. However, it was emphasised that the app should provide further options for personalisation and include more practical features.

CONCLUSIONS

Delivering smoking cessation support via a smartphone app can be feasible and acceptable for pregnant smokers. They appear to value content that is motivational, educational and personalised, and meeting these requirements may be important for user experience and promoting engagement with the intervention.