Use of Consumer Wearables in Health Research: Issues and Considerations.

As wearable devices, which allow individuals to track and self-manage their health, become more ubiquitous, the opportunities are growing for researchers to use these sensors within interventions and for data collection. They offer access to data that are captured continuously, passively, and pragmatically with minimal user burden, providing huge advantages for health research. However, the growth in their use must be coupled with consideration of their potential limitations, in particular, digital inclusion, data availability, privacy, ethics of third-party involvement, data quality, and potential for adverse consequences. In this paper, we discuss these issues and strategies used to prevent or mitigate them and recommendations for researchers using wearables as part of interventions or for data collection.

Aboriginal and Torres Strait Islander Women's Access to and Interest in mHealth: National Web-based Cross-sectional Survey.

BACKGROUND: Health programs delivered through digital devices such as mobile phones (mobile health [mHealth]) have become an increasingly important component of the health care tool kit. Aboriginal and Torres Strait Islander women of reproductive age are likely to be caring for children and family members and needing health care, but little is known about their access to and interest in mHealth. OBJECTIVE: The objectives of this study were to investigate Aboriginal and Torres Strait Islander women's ownership of digital devices, access to the internet, current mHealth use, and interest and preferences for future mHealth. We examined the factors (age, remoteness, caring for a child younger than 5 years, and level of education) associated with the ownership of digital devices, use of internet, and interest in using a mobile phone to improve health. This study also examines if women are more likely to use mHealth for topics that they are less confident to talk about face-to-face with a health professional. METHODS: A national web-based cross-sectional survey targeting Aboriginal and Torres Strait Islander women of reproductive age (16-49 years) was performed. Descriptive statistics were reported, and logistic regressions were used to examine the associations. RESULTS: In total, 379 women completed the survey; 89.2% (338/379) owned a smartphone, 53.5% (203/379) a laptop or home computer, 35.6% (135/379) a tablet, and 93.1% (353/379) had access to the internet at home. Most women used social media (337/379, 88.9%) or the internet (285/379, 75.2%) everyday. The most common modality used on the mobile phone for health was Google (232/379, 61.2%), followed by social media (195/379, 51.5%). The most preferred modality for future programs was SMS text messaging (211/379, 55.7%) and social media (195/379, 51.4%). The most preferred topics for future mHealth programs were healthy eating (210/379, 55.4%) and cultural engagement (205/379, 54.1%). Women who were younger had greater odds of owning a smartphone, and women with tertiary education were more likely to own a tablet or laptop. Older age was associated with interest to use telehealth, and higher educational attainment was associated with interest for videoconferencing. Most women (269/379, 70.9%) used an Aboriginal medical service and overall reported high rates of confidence to discuss health topics with a health professional. Overall, women showed a similar likelihood of selecting a topic in mHealth whether they were or were not confident to talk to a health professional about that. CONCLUSIONS: Our study found that Aboriginal and Torres Strait Islander women were avid users of the internet and had strong interest in mHealth. Future mHealth programs for these women should consider utilizing SMS text messaging and social media modalities and including content on nutrition and culture. A noteworthy limitation of this study was that participant recruitment was web-based (due to COVID-19 restrictions).

Exploring patient perspectives on the secondary use of their personal health information: an interview study.

BACKGROUND: The increased digitalisation of health records has resulted in increased opportunities for the secondary use of health information for advancing healthcare. Understanding how patients want their health information used is vital to ensure health services use it in an appropriate and patient-informed manner. The aim of this study was to explore patient perceptions of the use of their health information beyond their immediate care. METHODS: Semi-structured in-depth interviews were conducted with current users of health services in Aotearoa New Zealand. Different scenarios formed the basis of the discussions in the interviews covering different types of information use (current practice, artificial intelligence and machine learning, clinical calculators, research, registries, and public health surveillance). Transcripts were analysed using thematic analysis. RESULTS: Twelve interviews were conducted with individual's representative of key ethnicity groups and rural/urban populations, and at the time of recruitment, had been accessing a diverse range of health services. Participants ranged from high users of health care (e.g., weekly dialysis) through to low users (e.g., one-off presentation to the emergency department). Four interrelated overarching themes were identified from the transcripts describing the main issues for participants: helping others, sharing of data is important, trust, and respect. CONCLUSIONS: People currently engaging with health services are supportive of their health information being used to help others, advance science, and contribute to the greater good but their support is conditional. People need to be able to trust the health service to protect, care for, and respect their health information and ensure no harm comes from its use. This study has identified key considerations for services and researchers to reflect on when using patient health information for secondary purposes to ensure they use it in a patient-informed way. TRIAL REGISTRATION: NA.

Mobile Health (mHealth) in Low- and Middle-Income Countries.

This article reflects on current trends and proposes new considerations for the future of mobile technologies for health (mHealth). Our focus is predominantly on the value of and concerns with regard to the application of digital health within low- and middle-income countries (LMICs). It is in LMICs and marginalized communities that mHealth (within the wider scope of digital health) could be most useful and valuable. Peer-reviewed literature on mHealth in LMICs provides reassurance of this potential, often reflecting on the ubiquity of mobile phones and ever-increasing connectivity globally, reaching remote or otherwise disengaged populations. Efforts to adapt successful programs for LMIC contexts and populations are only just starting to reap rewards. Private-sector investment in mHealth offers value through enhanced capacity and advances in technology as well as the ability to meet increasing consumer demand for real-time, accessible, convenient, and choice-driven health care options. We examine some of the potential considerations associated with a private-sector investment, questioning whether a core of transparency, local ownership, equity, and safety is likely to be upheld in the current environment of health entrepreneurship.

Chatbots for Smoking Cessation: Scoping Review.

BACKGROUND: Despite significant progress in reducing tobacco use over the past 2 decades, tobacco still kills over 8 million people every year. Digital interventions, such as text messaging, have been found to help people quit smoking. Chatbots, or conversational agents, are new digital tools that mimic instantaneous human conversation and therefore could extend the effectiveness of text messaging. OBJECTIVE: This scoping review aims to assess the extent of research in the chatbot literature for smoking cessation and provide recommendations for future research in this area. METHODS: Relevant studies were identified through searches conducted in Embase, MEDLINE, APA PsycINFO, Google Scholar, and Scopus, as well as additional searches on JMIR, Cochrane Library, Lancet Digital Health, and Digital Medicine. Studies were considered if they were conducted with tobacco smokers, were conducted between 2000 and 2021, were available in English, and included a chatbot intervention. RESULTS: Of 323 studies identified, 10 studies were included in the review (3 framework articles, 1 study protocol, 2 pilot studies, 2 trials, and 2 randomized controlled trials). Most studies noted some benefits related to smoking cessation and participant engagement; however, outcome measures varied considerably. The quality of the studies overall was low, with methodological issues and low follow-up rates. CONCLUSIONS: More research is needed to make a firm conclusion about the efficacy of chatbots for smoking cessation. Researchers need to provide more in-depth descriptions of chatbot functionality, mode of delivery, and theoretical underpinnings. Consistency in language and terminology would also assist in reviews of what approaches work across the field.

The characteristics of behaviour change interventions used among Pacific people: a systematic search and narrative synthesis.

BACKGROUND: Pacific people living in New Zealand, Australia, United States, and the Pacific region continue to experience a disproportionately high burden of long-term conditions, making culturally contextualised behaviour change interventions a priority. The primary aim of this study was to describe the characteristics of behaviour change interventions designed to improve health and effect health behaviour change among Pacific people. METHODS: Electronic searches were carried out on OVID Medline, PsycINFO, PubMed, Embase and SCOPUS databases (initial search January 2019 and updated in January 2020) for studies describing an intervention designed to change health behaviour(s) among Pacific people. Titles and abstracts of 5699 papers were screened; 201 papers were then independently assessed. A review of full text was carried out by three of the authors resulting in 208 being included in the final review. Twenty-seven studies were included, published in six countries between 1996 and 2020. RESULTS: Important characteristics in the interventions included meaningful partnerships with Pacific communities using community-based participatory research and ensuring interventions were culturally anchored and centred on collectivism using family or social support. Most interventions used social cognitive theory, followed by popular behaviour change techniques instruction on how to perform a behaviour and social support (unspecified). Negotiating the spaces between Eurocentric behaviour change constructs and Pacific worldviews was simplified using Pacific facilitators and talanoa. This relational approach provided an essential link between academia and Pacific communities. CONCLUSIONS: This systematic search and narrative synthesis provides new and important insights into potential elements and components when designing behaviour change interventions for Pacific people. The paucity of literature available outside of the United States highlights further research is required to reflect Pacific communities living in New Zealand, Australia, and the Pacific region. Future research needs to invest in building research capacity within Pacific communities, centering self-determining research agendas and findings to be led and owned by Pacific communities.

Manaaki - a cognitive behavioral therapy mobile health app to support people experiencing gambling problems: a randomized control trial protocol.

BACKGROUND: The low utilisation of current treatment services by people with gambling problems highlights the need to explore new modalities of delivering treatment interventions. This protocol presents the design of a pragmatic randomized control trial aimed at assessing the effectiveness and acceptability of cognitive behavioral therapy (CBT) delivered via a mobile app for people with self-reported gambling problems. METHODS: An innovative CBT mobile app, based on Deakin University's GAMBLINGLESS online program, has been adapted with end-users (Manaaki). Six intervention modules have been created. These are interwoven with visual themes to represent a journey of recovery and include attributes such as avatars, videos, and animations to support end-user engagement. An audio facility is used throughout the app to cater for different learning styles. Personalizing the app has been accomplished by using greetings in the participant's language and their name (e.g. Kia ora Tane) and by creating personalized feedback. A pragmatic, randomized control two-arm single-blind trial, will be conducted in New Zealand. We aim to recruit 284 individuals. Eligible participants are ≥18 years old, seeking help for their gambling, have access to a smartphone capable of downloading an app, able to understand the English language and are willing to provide follow-up information at scheduled time points. Allocation is 1:1, stratified by ethnicity, gender, and gambling symptom severity based on the Gambling Symptom Assessment Scale (G-SAS). The intervention group will receive the full mobile cognitive behavioural programme and the waitlist group will receive a simple app that counts down the time left before they have access to the full app and the links to the data collection tools. Data collection for both groups are: baseline, 4-, 8-, and 12-weeks post-randomisation. The primary outcome is a change in G-SAS scores. Secondary measures include changes in gambling urges, frequency, expenditure, and readiness to change. Indices of app engagement, utilisation and acceptability will be collected throughout the delivery of the intervention. DISCUSSION: If effective, this study will contribute to the improvement of health outcomes for people experiencing gambling problems and have great potential to reach population groups who do not readily engage with current treatment services. ETHICS APPROVAL: NZ Health and Disability Ethics Committee (Ref: 19/STH/204) TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry (ANZCTRN 12619001605189) Registered 1 November 2019.

Correction: Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment.

[This corrects the article DOI: 10.2196/17734.].

Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment.

BACKGROUND: Smoking remains a leading cause of preventable death and illness. Internet interventions for smoking cessation have the potential to significantly impact public health, given their broad reach and proven effectiveness. Given the dose-response association between engagement and behavior change, identifying strategies to promote engagement is a priority across digital health interventions. Text messaging is a proven smoking cessation treatment modality and a powerful strategy to increase intervention engagement in other areas of health, but it has not been tested as an engagement strategy for a digital cessation intervention. OBJECTIVE: This study examined the impact of 4 experimental text message design factors on adult smokers' engagement with an internet smoking cessation program. METHODS: We conducted a 2×2×2×2 full factorial screening experiment wherein 864 participants were randomized to 1 of 16 experimental conditions after registering with a free internet smoking cessation program and enrolling in its automated text message program. Experimental factors were personalization (on/off), integration between the web and text message platforms (on/off), dynamic tailoring of intervention content based on user engagement (on/off), and message intensity (tapered vs abrupt drop-off). Primary outcomes were 3-month measures of engagement (ie, page views, time on site, and return visits to the website) as well as use of 6 interactive features of the internet program. All metrics were automatically tracked; there were no missing data. RESULTS: Main effects were detected for integration and dynamic tailoring. Integration significantly increased interactive feature use by participants, whereas dynamic tailoring increased the number of features used and page views. No main effects were found for message intensity or personalization alone, although several synergistic interactions with other experimental features were observed. Synergistic effects, when all experimental factors were active, resulted in the highest rates of interactive feature use and the greatest proportion of participants at high levels of engagement. Measured in terms of standardized mean differences (SMDs), effects on interactive feature use were highest for Build Support System (SMD 0.56; 95% CI 0.27 to 0.81), Choose Quit Smoking Aid (SMD 0.38; 95% CI 0.10 to 0.66), and Track Smoking Triggers (SMD 0.33; 95% CI 0.05 to 0.61). Among the engagement metrics, the largest effects were on overall feature utilization (SMD 0.33; 95% CI 0.06 to 0.59) and time on site (SMD 0.29; 95% CI 0.01 to 0.57). As no SMD >0.30 was observed for main effects on any outcome, results suggest that for some outcomes, the combined intervention was stronger than individual factors alone. CONCLUSIONS: This factorial experiment demonstrates the effectiveness of text messaging as a strategy to increase engagement with an internet smoking cessation intervention, resulting in greater overall intervention dose and greater exposure to the core components of tobacco dependence treatment that can promote abstinence. TRIAL REGISTRATION: ClinicalTrials.gov NCT02585206; https://clinicaltrials.gov/ct2/show/NCT02585206. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2015-010687.

Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention.

Background:Nontailored and static goals may hinder behavior change. We investigated the feasibility and acceptability of an adaptive proof-of-concept smartphone-delivered intervention by using real-world movement data capture of physical activity (PA) and sedentary behavior (SB) to inform behavior change content delivery.Materials and Methods:A single-group 8-week study with pre- and post-intervention assessments was conducted in Auckland, New Zealand. Participants aged 17-69 years who owned an Android smartphone were recruited and used the application (app). Usage data, self-reported acceptability and PA and SB were assessed. Daily repeated measurement of PA and SB outcomes were analyzed through random-effects mixed models.Results:Participants (n = 69) were predominantly female (78%) with a mean age of 34.5 years (range 18-61). On average, participants opened the app on 11.4 days throughout the 8 weeks. Use decreased over time; 20% of participants opened the app every day. Feedback on behavior (73%), behavior substitution (71%), discrepancy between behavior and goal (58%) and goal setting (54%) were rated as the most useful behavior change techniques by participants. Time spent on light, moderate-to-vigorous intensity and total PA increased post-intervention, whereas time spent on SB decreased.Conclusions:The adaptive proof-of-concept app was considered acceptable, with preliminary support for its positive effects on PA and SB.

mHealth Interventions for Exercise and Risk Factor Modification in Cardiovascular Disease.

Exercise and lifestyle risk factor management are critical for the secondary prevention of cardiovascular disease but are poorly adhered to. Mobile health interventions could enhance engagement; however, a one-size intervention approach cannot meet the needs of all people. We hypothesize a unifying digital platform that enables choice from a suite of evidence-based programs will enhance access, delivery, and engagement.

Mobile phone text messaging and app-based interventions for smoking cessation.

BACKGROUND: Mobile phone-based smoking cessation support (mCessation) offers the opportunity to provide behavioural support to those who cannot or do not want face-to-face support. In addition, mCessation can be automated and therefore provided affordably even in resource-poor settings. This is an update of a Cochrane Review first published in 2006, and previously updated in 2009 and 2012. OBJECTIVES: To determine whether mobile phone-based smoking cessation interventions increase smoking cessation rates in people who smoke. SEARCH METHODS: For this update, we searched the Cochrane Tobacco Addiction Group's Specialised Register, along with clinicaltrials.gov and the ICTRP. The date of the most recent searches was 29 October 2018. SELECTION CRITERIA: Participants were smokers of any age. Eligible interventions were those testing any type of predominantly mobile phone-based programme (such as text messages (or smartphone app) for smoking cessation. We included randomised controlled trials with smoking cessation outcomes reported at at least six-month follow-up. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures described in the Cochrane Handbook for Systematic Reviews of Interventions. We performed both study eligibility checks and data extraction in duplicate. We performed meta-analyses of the most stringent measures of abstinence at six months' follow-up or longer, using a Mantel-Haenszel random-effects method, pooling studies with similar interventions and similar comparators to calculate risk ratios (RR) and their corresponding 95% confidence intervals (CI). We conducted analyses including all randomised (with dropouts counted as still smoking) and complete cases only. MAIN RESULTS: This review includes 26 studies (33,849 participants). Overall, we judged 13 studies to be at low risk of bias, three at high risk, and the remainder at unclear risk. Settings and recruitment procedures varied across studies, but most studies were conducted in high-income countries. There was moderate-certainty evidence, limited by inconsistency, that automated text messaging interventions were more effective than minimal smoking cessation support (RR 1.54, 95% CI 1.19 to 2.00; I2 = 71%; 13 studies, 14,133 participants). There was also moderate-certainty evidence, limited by imprecision, that text messaging added to other smoking cessation interventions was more effective than the other smoking cessation interventions alone (RR 1.59, 95% CI 1.09 to 2.33; I2 = 0%, 4 studies, 997 participants). Two studies comparing text messaging with other smoking cessation interventions, and three studies comparing high- and low-intensity messaging, did not show significant differences between groups (RR 0.92 95% CI 0.61 to 1.40; I2 = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I2 = 0%, 3 studies, 12,985 participants, respectively) but confidence intervals were wide in the former comparison. Five studies compared a smoking cessation smartphone app with lower-intensity smoking cessation support (either a lower-intensity app or non-app minimal support). We pooled the evidence and deemed it to be of very low certainty due to inconsistency and serious imprecision. It provided no evidence that smartphone apps improved the likelihood of smoking cessation (RR 1.00, 95% CI 0.66 to 1.52; I2 = 59%; 5 studies, 3079 participants). Other smartphone apps tested differed from the apps included in the analysis, as two used contingency management and one combined text messaging with an app, and so we did not pool them. Using complete case data as opposed to using data from all participants randomised did not substantially alter the findings. AUTHORS' CONCLUSIONS: There is moderate-certainty evidence that automated text message-based smoking cessation interventions result in greater quit rates than minimal smoking cessation support. There is moderate-certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation support in comparison with that smoking cessation support alone. The evidence comparing smartphone apps with less intensive support was of very low certainty, and more randomised controlled trials are needed to test these interventions.

Old-Fashioned Technology in the Era of "Bling": Is There a Future for Text Messaging in Health Care?

In the quest to discover the next high-technology solution to solve many health problems, proven established technologies are often overlooked in favor of more "technologically advanced" systems that have not been fully explored for their applicability to support behavior change theory, or used by consumers. Text messages or SMS is one example of an established technology still used by consumers, but often overlooked as part of the mobile health (mHealth) toolbox. The purpose of this paper is to describe the benefits of text messages as a health promotion modality and to advocate for broader scale implementation of efficacious text message programs. Text messaging reaches consumers in a ubiquitous real-time exchange, contrasting the multistep active engagement required for apps and wearables. It continues to be the most widely adopted and least expensive mobile phone function. As an intervention modality, text messaging has taught researchers substantial lessons about tailored interactive health communication; reach and engagement, particularly in low-resource settings; and embedding of behavior change models into digital health. It supports behavior change techniques such as reinforcement, prompts and cues, goal setting, feedback on performance, support, and progress review. Consumers have provided feedback to indicate that text messages can provide them with useful information, increase perceived support, enhance motivation for healthy behavior change, and provide prompts to engage in health behaviors. Significant evidence supports the effectiveness of text messages alone as part of an mHealth toolbox or in combination with health services, to support healthy behavior change. Systematic reviews have consistently reported positive effects of text message interventions for health behavior change and disease management including smoking cessation, medication adherence, and self-management of long-term conditions and health, including diabetes and weight loss. However, few text message interventions are implemented on a large scale. There is still much to be learned from investing in text messaging delivered research. When a modality is known to be effective, we should be learning from large-scale implementation. Many other technologies currently suffer from poor long-term engagement, the digital divide within society, and low health and technology literacy of users. Investing in and incorporating the learnings and lessons from large-scale text message interventions will strengthen our way forward in the quest for the ultimate digitally delivered behavior change model.

Samoan Smokers Talk About Smoking and Quitting: A Focus Group Study.

Introduction: Samoa, like other Pacific Island countries, faces a persistent challenge to reduce smoking use with relatively limited resources. As a signatory to the WHO FCTC, Samoa is obligated to introduce measures to reduce tobacco use and is currently trialing a text message smoking cessation programme (mCessation) to achieve this outcome. Cigarettes remain relatively cheap and are widely available, but little is known about how smoking is initiated or why and how people quit smoking in the Samoa. Methods: Six focus groups with smokers and ex-smokers were conducted in Apia, Samoa. Groups were homogenous according to age, gender and smoking status. Focus groups were conducted in Samoan and transcribed and translated to English for analysis. Results: Smoking is initiated most commonly in late teens and early twenties and most frequently in (non-family) social contexts. Smoking reflects a widely held (mis)perceptions of tangible benefits, including aiding feelings of strength and energy, relief from indigestion and as a means to accelerate the effects of alcohol. Smoking was deeply connected to social life in Samoa among friends and for some, with family members. Drivers to quit originate out of concern regarding health effects, concern for family and the costs of purchasing tobacco. Conclusions: Smoking is well entrenched in Samoan society; efforts to reduce smoking need to be based on implicit understanding of Samoan cultural norms and priorities around family, social networks and culture. Efforts to support quitting are important, alongside other well validated measures to reverse the trajectory of smoking related disease. Implications: This study offers an insight into smoking as a behavior and as cultural practice perceived by smokers and non-smokers in Samoa. A thorough understanding of smoking behaviors and cessation patterns is critical in efforts to reduce smoking especially in resource-limited settings. The results from this study was used to inform the development of a Samoan mHealth smoking cessation programme.

End Users Want Alternative Intervention Delivery Models: Usability and Acceptability of the REMOTE-CR Exercise-Based Cardiac Telerehabilitation Program.

OBJECTIVE: Evaluate user experiences of an exercise-based cardiac telerehabilitation intervention (REMOTE-CR) that provided near universal access to real-time remote coaching and behavioral support from exercise specialists. DESIGN: Secondary analysis (12-week follow-up) of a parallel group, single blind, randomized controlled noninferiority trial (ACTRN12614000843651). SETTING: Community-based cardiac rehabilitation. PARTICIPANTS: Adults (N=162) with coronary heart disease who were eligible for outpatient cardiac rehabilitation. Eighty-two of 162 trial participants were randomized to receive REMOTE-CR; 67 completed usability and acceptability assessment at 12-week follow-up. INTERVENTION: REMOTE-CR comprised 12 weeks of individualized exercise prescription, real-time physiological monitoring, coaching, and behavioral support, delivered via a bespoke telerehabilitation platform. OUTCOMES: Ease of use, satisfaction with the technology platform and intervention content, and demand for real-world implementation as an alternative to traditional center-based programs were assessed at 12-week follow-up. RESULTS: Components of usability and acceptability were positively evaluated by most participants (44-66 of 67, 66%-99%). Fifty-eight of 67 (87%) would choose REMOTE-CR if it was available as a usual care service, primarily because it provides convenient and flexible access to real-time individualized support from exercise specialists. Technology challenges were rare and had little effect on user experiences or demand for REMOTE-CR. CONCLUSIONS: REMOTE-CR can extend the reach and impact of existing cardiac rehabilitation services by overcoming traditional participation barriers while preserving expert oversight. Adoption of emerging technologies should be accelerated to support dynamic, engaging, individualized intervention delivery models, but optimizing overall cardiac rehabilitation participation rates will require multiple delivery models that are tailored to satisfy diverse participant preferences.

Evaluation of MyTeen - a SMS-based mobile intervention for parents of adolescents: a randomised controlled trial protocol.

BACKGROUND: Parents play an important role in the lives of adolescents and efforts aimed at strengthening parenting skills and increasing knowledge on adolescent development hold much promise to prevent and mitigate adolescent mental health problems. Innovative interventions that make use of technology-based platforms might be an effective and efficient way to deliver such support to parents. This protocol presents the design of a randomised controlled trial to investigate the effectiveness of a SMS-based mobile intervention (MyTeen) for parents of adolescents on promoting parental competence and mental health literacy. METHODS: A parallel two-arm randomised controlled trial will be conducted in New Zealand, aiming to recruit 214 parents or primary caregivers of adolescents aged 10-15 years via community outreach and social media. Eligible participants will be allocated 1:1 into the control or the intervention group, stratified by ethnicity. The intervention group will receive a tailored programme of text messages aimed at improving their parental competence and mental health literacy, over 4 weeks. The control group (care-as-usual) will receive no intervention from the research team, but can access alternative services if they wish, and will be offered the intervention programme upon completion of a 3-month post-randomisation follow-up assessment. Data will be obtained at baseline, post intervention (1-month), and 3-month follow up. The primary outcome is parental competence assessed by the Parental Sense of Competence Scale at 1-month follow up. Secondary outcomes include: mental health literacy; knowledge of help-seeking; parental distress; parent-adolescent communication; and programme satisfaction. DISCUSSION: To our knowledge this is the first randomised controlled trial on the effectiveness of delivering a parenting support intervention for parents of adolescents solely via a SMS-based mobile intervention. If effective, it could have great potential to reach and support parents of adolescents. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry ( ACTRN12618000117213 ) Registered on 29/01/2018.

MEMO: an mHealth intervention to prevent the onset of depression in adolescents: a double-blind, randomised, placebo-controlled trial.

BACKGROUND: Depression often starts in adolescence making it an ideal time to intervene. We developed a universal cognitive behavioural therapy-based programme (MEMO CBT) to be delivered via multimedia mobile phone messages for teens. METHODS: We conducted a prospective multicentre, randomised, placebo-controlled superiority trial in 15 high schools in Auckland, New Zealand, comparing MEMO CBT with a control programme [MEMO control] matched for intensity and type of message but with alternative content not targeting depression. The primary outcome was the change in score on the Children's Depression Rating Scale-Revised from baseline to 12 months. Secondary outcomes included the change in scores in the self-reported Reynold's Adolescent Depression Rating Scale-Second Edition, the Moods and Feelings Questionnaire, suicidal ideation using selected items from the Youth Risk Behaviour Survey, the Pediatric Quality of Life questionnaire, 12-month period prevalence of the diagnosis of depressive disorder using the Kiddie-Schedule for Affective Disorders and Schizophrenia, and students' ratings of their satisfaction with the programme. RESULTS: Eight hundred and fifty-five students (13-17 years old, mean 14.3 years) were randomly assigned to MEMO CBT (426) or to MEMO Control (429). Participants (68% female) had a mean CDRS-R at baseline of 21.5 (SD: 5). Overall 394 (93%) from the intervention group and 392 (91%) from the control group were followed up at 12 months. At the end of the intervention (approximately 9 weeks) the mean CDRS-R scores were 20.8 in the intervention group versus 20.4 in the control group, and at 12 months they were 22.4 versus 22.4 (p value for difference in change from baseline = 0.3). There was no obvious association between the amount of the intervention viewed by participants and outcomes. CONCLUSIONS: There was no evidence of benefit from the mobile phone CBT intervention compared with a control programme. Universal depression prevention remains a challenge.

mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: mHealth programs offer potential for practical and cost-effective delivery of interventions capable of reaching many individuals. PURPOSE: To (1) compare the effectiveness of mHealth interventions to promote physical activity (PA) and reduce sedentary behavior (SB) in free-living young people and adults with a comparator exposed to usual care/minimal intervention; (2) determine whether, and to what extent, such interventions affect PA and SB levels and (3) use the taxonomy of behavior change techniques (BCTs) to describe intervention characteristics. METHODS: A systematic review and meta-analysis following PRISMA guidelines was undertaken to identify randomized controlled trials (RCTs) comparing mHealth interventions with usual or minimal care among individuals free from conditions that could limit PA. Total PA, moderate-to-vigorous intensity physical activity (MVPA), walking and SB outcomes were extracted. Intervention content was independently coded following the 93-item taxonomy of BCTs. RESULTS: Twenty-one RCTs (1701 participants-700 with objectively measured PA) met eligibility criteria. SB decreased more following mHealth interventions than after usual care (standardised mean difference (SMD) -0.26, 95 % confidence interval (CI) -0.53 to -0.00). Summary effects across studies were small to moderate and non-significant for total PA (SMD 0.14, 95 % CI -0.12 to 0.41); MVPA (SMD 0.37, 95 % CI -0.03 to 0.77); and walking (SMD 0.14, 95 % CI -0.01 to 0.29). BCTs were employed more frequently in intervention (mean = 6.9, range 2 to 12) than in comparator conditions (mean = 3.1, range 0 to 10). Of all BCTs, only 31 were employed in intervention conditions. CONCLUSIONS: Current mHealth interventions have small effects on PA/SB. Technological advancements will enable more comprehensive, interactive and responsive intervention delivery. Future mHealth PA studies should ensure that all the active ingredients of the intervention are reported in sufficient detail.

Effectiveness of the YourCall™ text message intervention to reduce harmful drinking in patients discharged from trauma wards: protocol for a randomised controlled trial.

BACKGROUND: Behavioural brief interventions (BI) can support people to reduce harmful drinking but multiple barriers impede the delivery and equitable access to these. To address this challenge, we developed YourCall™, a novel short message service (SMS) text message intervention incorporating BI principles. This protocol describes a trial evaluating the effectiveness of YourCall™ (compared to usual care) in reducing hazardous drinking and alcohol related harm among injured adults who received in-patient care. METHODS/DESIGN: Participants recruited to this single-blind randomised controlled trial comprised patients aged 16-69 years in three trauma-admitting hospitals in Auckland, New Zealand. Those who screened positive for moderately hazardous drinking were randomly assigned by computer to usual care (control group) or the intervention. The latter comprised 16 informational and motivational text messages delivered using an automated system over the four weeks following discharge. The primary outcome is the difference in mean AUDIT-C score between the intervention and control groups at 3 months, with the maintenance of the effect examined at 6 and 12 months follow-up. Secondary outcomes comprised the health and social impacts of heavy drinking ascertained through a web-survey at 12 months, and further injuries identified through probabilistic linkage to national databases on accident insurance, hospital discharges, and mortality. Research staff evaluating outcomes were blinded to allocation. Intention-to-treat analyses will include assessment of interactions based on ethnicity (Maori compared with non-Maori). DISCUSSION: If found to be effective, this mobile health strategy has the potential to overcome current barriers to implementing equitably accessible interventions that can reduce harmful drinking. TRIAL REGISTRATION: Universal Trial Number (UTN) U1111-1134-0028. ACTRN12612001220853 . Submitted 8 November 2012 (date of enrolment of first participant); Version 1 registration confirmed 19 November 2012. Retrospectively registered.

Participant-level meta-analysis of mobile phone-based interventions for smoking cessation across different countries.

With meta-analysis, participant-level data from five text messaging-based smoking cessation intervention studies were pooled to investigate cessation patterns across studies and participants. Individual participant data (N=8315) collected in New Zealand (2001-2003; n=1705), U.K. (2008-2009; n=5792), U.S. (2012; n=503; n=164) and Turkey (2012; n=151) were collectively analyzed in 2014. The primary outcome was self-reported 7-day continuous abstinence at 4weeks post-quit day. Secondary outcomes were: (1) self-reported 7-day continuous abstinence at 3months and (2) self-reported continuous abstinence at 6months post-quit day. Generalized linear mixed models were fit to estimate the overall treatment effect, while accounting for clustering within individual studies. Estimates were adjusted for age, sex, socioeconomic status, previous quit attempts, and baseline Fagerstrom score. Analyses were intention to treat. Participants lost to follow-up were treated as smokers. Twenty-nine percent of intervention participants and 12% of control participants quit smoking at 4weeks (adjusted odds ratio [aOR]=2.89, 95% CI [2.57, 3.26], p<.0001). An attenuated but significant effect for cessation for those in the intervention versus control groups was observed at 3months (aOR=1.88, 95% CI [1.53, 2.31]) and 6months (aOR=2.24, 95% CI [1.90, 2.64]). Subgroup analyses were conducted but few significant findings were noted. Text messaging-based smoking cessation programs increase self-reported quitting rates across a diversity of countries and cultures. Efforts to expand these low-cost and scalable programs, along with ongoing evaluation, appear warranted.