Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial

Effect of a workplace mobile phone-based instant messaging intervention on smoking cessation: a cluster-randomized controlled trial

AIMS

To test the effectiveness of intractive, instant messaging chat-based mobile phone support versus text-based mobile phone support integrated with brief interventions on self-reported smoking abstinence in workplaces.

DESIGN

A two-arm parallel cluster-randomized controlled trial with follow-up to 12 months.

SETTING

Seventy-five companies in Hong Kong, China.

PARTICIPANTS

Daily cigarette adult smokers (92.0% male, 90.9% not ready to quit within the next 30 days) from 75 companies (clusters).

INTERVENTIONS

Participants were cluster-randomized to receive text-based support (TBS, n = 375; 38 clusters) or chat-based support (CBS, n = 304; 37 clusters). TBS participants received automated and fix-scheduled text messages on cessation advice and support. CBS participants received fix-scheduled text messages and additional real-time psychosocial and cessation support via instant messaging services (e.g. WhatsApp) by counsellors. Both groups received a 1-hour health talk at baseline and brief telephone counselling at 1 week and 1, 3, 6 and 12 months.

MEASUREMENTS

The primary outcome was self-reported 7-day point-prevalence abstinence at 6 months post-treatment initiation. Secondary outcomes included 7-day point-prevalence abstinence at 12 months, repeated 7-day point-prevalence abstinence, smoking reduction, quit attempts and intervention engagement, defined as having read text messages and/or engaged in conversation with counsellors.

FINDINGS

By intention-to-treat assuming that dropouts were smoking, self-reported abstinence was not significantly different between the CBS and TBS groups at 6 months [18.8 versus 21.6%, risk ratio (RR) = 0.87, 95% confidence interval (CI) = 0.61, 1.23, retention = 71.3%] and 12 months (21.4 versus 24.0%, RR = 0.90, 95% CI = 0.66, 1.21, retention = 70.8%). The repeated 7-day point-prevalence abstinence, smoking reduction and quit attempts were similar between the groups. The participants who were engaged in the text- and/or chat-based interventions had greater abstinence (adjusted RR = 2.91, 95% CI = 1.87, 4.52) at 6 months compared with unengaged participants.

CONCLUSIONS

Compared with a text messaging mobile phone intervention, a chat-based instant messaging mobile phone intervention did not improve smoking abstinence over 12 months in workplaces. Engagement in text-based or chat-based interventions was associated with higher quit rates compared with non-engagement.

The WHO-ITU MyopiaEd Programme: A Digital Message Programme Targeting Education on Myopia and Its Prevention

The objective of this paper is to provide an overview of the World Health Organization - International Telecommunication Union MyopiaEd programme - a digital message programme targeting education on myopia and its prevention. The development of the MyopiaEd programme included 4 key steps: (1) Conceptualization and consultation with experts in the field of myopia, mHealth and health behavior change; (2) Creation of SMS message libraries and programme algorithm; (3) Review of the message libraries to ensure relevance to the target audience; and (4) Pre-testing amongst end-user groups to ensure that the design of the programme and the message content were understandable. After reviewing the available evidence and considering input of the experts, the aims, end users and key themes of the programme were finalized. Separate SMS-adapted message libraries were developed, reviewed and pre-tested for four target end-user groups; (1) general population involved in the care of children (2) parents or caregivers of children with myopia; (3) adolescents with myopia; and (4) adults with myopia. The message libraries are part of a comprehensive toolkit, developed through a consultative process with experts in digital health, to support implementation within countries. The development of the MyopiaEd programme aims to provide a basis for Member States and other stakeholders to develop, implement and monitor large-scale mHealth programmes. It is aimed at raising awareness of good eye care behaviors and addressing common reasons for non-compliance to spectacle wear. The next steps will involve adapting and evaluating the MyopiaEd programme in selected settings.

Communication of personalised disease risk by general practitioners to motivate smoking cessation in England: a cost-effectiveness and research prioritisation study

BACKGROUND AND AIMS

Communication of personalised disease risk can motivate smoking cessation. We assessed whether routine implementation of this intervention by general practitioners (GPs) in England is cost-effective or whether we need further research to better establish its effectiveness.

DESIGN

Cost-effectiveness analysis (CEA) with value of information (VoI) analysis from the UK National Health Service perspective, using GP communication of personalised disease risk on smoking cessation versus usual care.

SETTING

GP practices in England.

STUDY POPULATION

Healthy smokers aged 35-60 years attending the GP practice.

MEASUREMENTS

Effectiveness of GP communication of personalised disease risk on smoking cessation was estimated through systematic review and meta-analysis. A Bayesian CEA was then performed using a lifetime Markov model on smokers aged 35-60 years that measured lifetime costs and quality-adjusted life-years (QALYs) assigned to the four diseases contributing the most to smoking-related morbidity, mortality and costs: chronic obstructive pulmonary disease, lung cancer, myocardial infarction and stroke. Costs and QALYs for each disease state were obtained from the literature. VoI analysis identified sources of uncertainty in the CEA and assessed how much would be worth investing in further research to reduce this uncertainty.

FINDINGS

The meta-analysis odds ratio for the effectiveness estimate of GP communication of personalised disease risk was 1.48 (95% credibility interval, 0.91-2.26), an absolute increase in smoking cessation rates of 3.84%. The probability of cost-effectiveness ranged 89-94% depending on sex and age. VoI analysis indicated that: (i) uncertainty in the effectiveness of the intervention was the driver of the overall uncertainty in the CEA; and (ii) a research investment to reduce this uncertainty is justified if lower than £27.6 million (£7 per smoker).

CONCLUSIONS

Evidence to date shows that, in England, incorporating disease risk communication into general practitioners' practices to motivate smoking cessation is likely to be cost-effective compared with usual care.

A smoking quitline integrated with clinician counselling at outpatient health facilities in Vietnam: a single-arm prospective cohort study

BACKGROUND

Limited evidence is available about the combination of multiple smoking cessation modalities in low- and middle-income countries. The study aimed to assess the feasibility of a smoking cessation intervention that integrates follow-up counselling phone calls and scheduled text messages with brief advice from physicians in Vietnam.

METHODS

This was a single-arm intervention study. Smokers were referred to the study Quitline after brief advice by physicians at three rural district hospitals in Hanoi, Vietnam. Following referral, participants received nine counselling phone calls in 12 months and a scheduled text message service that lasted for three months. Participants who reported smoking cessation for at least 30 days at the 12-month follow-up were invited for a urinary cotinine test to confirm cessation.

RESULTS

The Quitline centre had 431 referrals from participating hospitals. Among them, 221 (51.3%) were enrolled. After the baseline phone call, 141 (63.8%) participated in all 4 follow-up calls within the first month and 117 (52.9%) participated in all phone calls in 12 months. The median number of successful phone calls was 8 (interquartile range: 6 - 8). At the end of the study, 90 (40.7%) self-reported abstinence from smoking over the previous 30 days. Among them, 22 (24.4%) submitted a sample for cotinine test, of which 13 (59.1% of those tested) returned a negative result. The proportion of biochemically-verified quitters was 5.9%.

CONCLUSIONS

The integration of brief advice and referral from healthcare facilities, Quitline counselling phone calls, and scheduled text messaging was feasible in rural health facilities in northern Vietnam.

TRIAL REGISTRATION

ACTRN12619000554167 .

The development of theory-informed participant-centred interventions to maximise participant retention in randomised controlled trials

Background

A failure of clinical trials to retain participants can influence the trial findings and significantly impact the potential of the trial to influence clinical practice. Retention of participants involves people, often the trial participants themselves, performing a behaviour (e.g. returning a questionnaire or attending a follow-up clinic as part of the research). Most existing interventions that aim to improve the retention of trial participants fail to describe any theoretical basis for the potential effect (on behaviour) and also whether there was any patient and/or participant input during development. The aim of this study was to address these two problems by developing theory- informed, participant-centred, interventions to improve trial retention.

Methods

This study was informed by the Theoretical Domains Framework and Behaviour Change Techniques Taxonomy to match participant reported determinants of trial retention to theoretically informed behaviour change strategies. The prototype interventions were described and developed in a co-design workshop with trial participants. Acceptability and feasibility (guided by (by the Theoretical Framework of Acceptability) of two prioritised retention interventions was explored during a focus group involving a range of trial stakeholders (e.g. trial participants, trial managers, research nurses, trialists, research ethics committee members). Following focus group discussions stakeholders completed an intervention acceptability questionnaire.

Results

Eight trial participants contributed to the co-design of the retention interventions. Four behaviour change interventions were designed: (1) incentives and rewards for follow-up clinic attendance, (2) goal setting for improving questionnaire return, (3) participant self-monitoring to improve questionnaire return and/or clinic attendance, and (4) motivational information to improve questionnaire return and clinic attendance. Eighteen trial stakeholders discussed the two prioritised interventions. The motivational information intervention was deemed acceptable and considered straightforward to implement whilst the goal setting intervention was viewed as less clear and less acceptable.

Conclusions

This is the first study to develop interventions to improve trial retention that are based on the accounts of trial participants and also conceptualised and developed as behaviour change interventions (to encourage attendance at trial research visit or return a trial questionnaire). Further testing of these interventions is required to assess effectiveness.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-022-06218-8.

Impact of SMS Text Messaging Reminders on Helmet Use Among Motorcycle Drivers in Dar es Salaam, Tanzania: Randomized Controlled Trial

Background

Road traffic injury is a pressing public health issue in Tanzania. Increasing helmet use among motorcycle drivers can help reduce the burden due to road traffic injuries in the country. Helmet adherence can be supported through mobile health interventions.

Objective

The aim of this study is to evaluate the comparative impact of two different types of SMS text messaging reminders on motorcycle helmet use.

Methods

Participants were 391 commercial motorcycle taxi drivers in Dar es Salaam, Tanzania. Participants were randomized into three groups, each receiving a different set of messages: (1) social norming messages aimed at emphasizing society’s positive stance on helmet wearing, (2) fear appeal messages that emphasized the dangers of riding without a helmet, and (3) control group messages, which included basic road safety messages unrelated to helmet use. Every participant received the control messages. Adherence to helmet use was evaluated by self-report through surveys conducted at baseline, 3 weeks, and 6 weeks.

Results

At 6 weeks, the odds of self-reporting consistent helmet use were estimated to be 1.58 times higher in the social norming group than in the control group (P=.04), though this difference was not significant after accounting for multiple testing. There was little difference between fear appeal and control group recipients (odds ratio 1.03, P=.47). Subgroup analysis suggests that both fear appeal and social norming message types might have been associated with increased helmet use among participants who did not consistently wear helmets at baseline (odds ratio 1.66 and odds ratio 1.84, respectively), but this was not significant (P=.11 and P=.07, respectively). Among those who were consistent wearers at baseline, the social norming messages performed better than the fear appeal messages, and this difference reached traditional significance (P=.03), but was not significant after accounting for multiple testing.

Conclusions

The use of SMS text messaging reminders may improve helmet use among motorcycle drivers when framed as social norming messages. Given that nearly half of the drivers in our sample did not consistently wear their helmets on every trip, strategies to increase consistent usage could greatly benefit public safety.

Trial Registration

ClinicalTrials.gov NCT02120742; https://clinicaltrials.gov/ct2/show/NCT02120742

Effectiveness of offering tailored text message, self-help smoking cessation support to pregnant women who want information on stopping smoking: MiQuit3 randomised controlled trial and meta-analysis

AIMS

To test the efficacy of 'MiQuit', a tailored, self-help, text message stop smoking programme for pregnancy, as an adjunct to usual care (UC) for smoking cessation in pregnancy.

DESIGN

Multicentre, open, two-arm, parallel-group, superiority randomised controlled trial (RCT) and a trial sequential analysis (TSA) meta-analysis combining trial findings with two previous ones.

SETTING

Twenty-four English hospital antenatal clinics.

PARTICIPANTS

A total of 1002 pregnant women who were ≥16 years old, were ≤25 weeks gestation and smoked ≥1 daily cigarette and accepted information on cessation with no requirement to set quit dates.

INTERVENTIONS

UC or UC plus 'MiQuit': 12 weeks of tailored, smoking cessation text messages focussed on inducing and aiding cessation.

MEASUREMENTS

Primary outcome: biochemically validated cessation between 4 weeks after randomisation and late pregnancy.

SECONDARY OUTCOMES

shorter and non-validated abstinence periods, pregnancy outcomes and incremental cost-effectiveness ratios.

FINDINGS

RCT: cessation was 5.19% (26/501) and 4.59% (23/501) in MiQuit and UC groups (adjusted odds ratio [adj OR] for quitting with MiQuit versus UC, 95% CI = 1.15 [0.65-2.04]); other abstinence findings were similar, with higher point estimates. Primary outcome ascertainment was 61.7% (309) and 67.3% (337) in MiQuit and UC groups with 71.1% (54/76) and 69.5% (41/59) abstinence validation rates, respectively. Pregnancy outcomes were similar and the incremental cost per quality-adjusted life year was -£1118 (95% CI = -£4806-£1911). More MiQuit group women reported making at least one quit attempt (adj OR [95% CI]) for making an attempt, 1.50 (1.07-2.09). TSA meta-analysis: this found no significant difference in prolonged abstinence between MiQuit and UC (pooled OR = 1.49, adjusted 95% CI = 0.62-3.60).

CONCLUSIONS

Irrespective of whether they want to try quitting, when offered a tailored, self-help, text message stop smoking programme for pregnancy (MiQuit) as an adjunct to usual care, pregnant women are not more likely to stop smoking until childbirth but they report more attempts at stopping smoking.

Perspectives and Views of Primary Care Professionals Regarding DiabeText, a New mHealth Intervention to Support Adherence to Antidiabetic Medication in Spain: A Qualitative Study

Background: Antidiabetic medication is effective in preventing diabetes-related complications. However, 40% of type 2 diabetic patients do not adhere to their medication regimes adequately. Brief text messages represent a promising approach to support medication adherence. The aim of this study was to explore the perspectives of primary care professionals (PCPs) concerning the DiabeText intervention, a new text messaging intervention to be developed to support medication adherence in people with type 2 diabetes (T2D) in Mallorca, Spain. Methods: We conducted four focus groups (n = 28) and eight semi-structured interviews with doctors and nurses. Data collection and analysis were carried out by researchers independently following Braun and Clark’s methodology. Results: Three main themes were identified: (1) text messaging interventions have the potential to effectively support diabetes self-management; (2) involving PCPs in the intervention would facilitate its design and implementation; (3) obtaining evidence supporting the cost-effectiveness is a key prerequisite for large-scale implementation of the intervention. PCPs identified barriers and enablers of the design and implementation of the intervention and made suggestions about the content and format of the text messages. Conclusion: The DiabeText intervention is perceived as useful and acceptable by PCPs provided its cost-effectiveness.

Efficacy of smoking cessation intervention delivered through mobile tele-counseling among smokers with tuberculosis in a Revised National Tuberculosis Control Program

BACKGROUND

India has high burden of tuberculosis and smokers. Prevalence of tuberculosis is three times higher in smokers than non-smokers. Active smoking causes severe disease, delay in seeking treatment, lost to treatment follow up, delayed sputum conversion and drug resistance. WHO advocates mobile phone technology to improve health outcomes (mHealth). We used mobile tele-counseling as a smoking cessation intervention in smokers with tuberculosis (TB) receiving treatment under tuberculosis control program.

AIM

To determine smoking quit rate at six months of TB treatment among smokers receiving mobile tele-counseling versus brief advice and to estimate smoking quit rates and relapse rates during the tele-counseling period.

METHODS

Open label randomized controlled trial. Newly detected pulmonary tuberculosis or pleural effusion patients received brief advice on smoking cessation as per The UNION's guiding framework. Subjects were then randomly allocated to intervention or control group. Intervention group was contacted telephonically at 2,3,4,5 and 6 months to assess smoking quit rates and provide continued smoking cessation advice.

RESULTS

Intervention group had 80 and 82 in the control group, mean (SD) age was 40.6(12.6), 43.5(12.7) p = 0.53. Quit rate at six months was 54 (67.5%) in intervention group versus 34 (42%) in control group; RR 1.60 (95% CI 1.19, 2.16) p = 0.001. Trend in smoking quit rates in intervention group was 81.3%, 61.3%, 55%, 73.8% at 2,3,4 and 5 months respectively. Smoking relapse rate was 43.1%, 53.1%, 20.5%,15.3% at 3,4,5 and 6 months respectively. 27.5%, 43.8% were abstinent for last three, two months.

CONCLUSIONS

Mobile tele-counseling is an effective strategy for smoking cessation among TB patients.

Comparison of an automated smartphone-based smoking cessation intervention versus standard quitline-delivered treatment among underserved smokers: protocol for a randomized controlled trial

BACKGROUND

Smoking is the leading cause of preventable morbidity and mortality in the United States. Individuals with low socioeconomic status have disproportionately high smoking rates and greater difficulty quitting smoking. Efficiently connecting underserved smokers to effective tobacco cessation programs is crucial for disease prevention and the elimination of health disparities. Smartphone-based interventions have the potential to enhance the reach and efficacy of smoking cessation treatments targeting underserved smokers, but there is little efficacy data for these interventions. In this study, we will partner with a large, local hunger-relief organization to evaluate the efficacy and economic impact of a theoretically-based, fully-automated, and interactive smartphone-based smoking cessation intervention.

METHODS

This study will consist of a 2-group randomized controlled trial. Participants (N = 500) will be recruited from a network of food distribution centers in West Central Florida and randomized to receive either Standard Treatment (ST, n = 250) or Automated Treatment (AT, n = 250). ST participants will be connected to the Florida Quitline for telephone-based treatment and will receive a 10-week supply of nicotine replacement therapy (NRT; transdermal patches and lozenges). AT participants will receive 10 weeks of NRT and a fully-automated smartphone-based intervention consisting of interactive messaging, images, and audiovisual clips. The AT intervention period will span 26 weeks, with 12 weeks of proactive content and 26 weeks of on-demand access. ST and AT participants will complete weekly 4-item assessments for 26 weeks and 3-, 6-, and 12-month follow-up assessments. Our primary aim is to evaluate the efficacy of AT in facilitating smoking abstinence. As secondary aims, we will explore potential mediators and conduct economic evaluations to assess the cost and/or cost-effectiveness of ST vs. AT.

DISCUSSION

The overall goal of this project is to determine if AT is better at facilitating long-term smoking abstinence than ST, the more resource-intensive approach. If efficacy is established, the AT approach will be relatively easy to disseminate and for community-based organizations to scale and implement, thus helping to reduce tobacco-related health disparities.

TRIAL REGISTRATION

Clinical Trials Registry NCT05004662 . Registered August 13, 2021.

Efficacy and utilization of smartphone applications for smoking cessation among low-income adults: Secondary analysis of the iCanQuit randomized trial

INTRODUCTION

Evidence of digital interventions that are efficacious among low-income populations is scarce. In a secondary analysis, we determined the efficacy and utilization of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) versus a U.S. Clinical Practice Guidelines (USCPG)-based smartphone application (QuitGuide) for smoking cessation in low-income adults enrolled in the iCanQuit randomized trial.

METHODS

Participants were randomized to receive iCanQuit (n = 437) or QuitGuide (n = 460) for 12-months. Consistent with the main trial, the primary outcome was self-reported complete-case 30-day point prevalence abstinence (PPA) at 12-months. Secondary outcomes were 7-day PPA, missing-as-smoking and multiple imputation, prolonged abstinence, and cessation of all tobacco products at 12-months. Outcome data retention, utilization, and change in ACT-based processes were compared across arms.

RESULTS

Participants were recruited from 48 U.S. states. Retention rate was 88% at 12-months and did not differ by arm. At 12-months, iCanQuit was 1.46 times more efficacious than QuitGuide for smoking cessation (27% vs. 20%; OR=1.46 95% CI: 1.04, 2.06). Findings were similar for missing-as-smoking imputation (23% vs. 18%; OR=1.41 95% CI: 1.01, 1.97) and multiple imputation at 12-months (27% vs. 20%; OR=1.51 95% CI: 1.07, 2.14). Treatment utilization was significantly higher among iCanQuit than QuitGuide participants. Increased acceptance of cues to smoke mediated the effect of treatment on cessation.

CONCLUSIONS

The iCanQuit smartphone application was more efficacious and engaging for smoking cessation among low-income adults than a USCPG-based smartphone application. A nationwide dissemination trial of iCanQuit is warranted to determine whether iCanQuit may alleviate cessation-related disparities among low-income adults.

Interventions for Adherence Improvement in the Primary Prevention of Cardiovascular Diseases: Expert Consensus Statement

Over the last 2 decades, the management of chronic disease in Korea has been improved, but it has gradually stagnated. In order to improve care and reduce cardiovascular morbidity and mortality, it is crucial to improve primary prevention of cardiovascular diseases. In recent international guidelines for hypertension, diabetes, hyperlipidemia, obesity, and other conditions, adherence issues have become more frequently addressed. However, in terms of implementation in practice, separate approaches by dozens of related academic specialties need to be integrated into a systematic approach including clinician’s perspectives such as the science behind adherence, clinical skills, and interaction within team approach.

In primary prevention for cardiovascular diseases, there are significant barriers to adherence including freedom from symptoms, long latency for therapeutic benefits, life-long duration of treatment, and need for combined lifestyle changes. However, to implement more systematic approaches, the focus on adherence improvement needs to be shifted away from patient factors to the effects of the treatment team and healthcare system. In addition to conventional educational approaches, more patient-oriented approaches such as patient-centered clinical communication skills, counseling using motivational strategies, decision-making by patient empowerment, and a multi-disciplinary team approach should be developed and implemented. Patients should be involved in a program of self-monitoring, self-management, and active counseling. Because most effective interventions on adherence improvement demand greater resources, the health care system and educational or training system of physicians and healthcare staff need to be supported for systematic improvement.

Digital and remote behavioral therapies for treating tic disorders: Recent advances and next steps

The rapid expansion of access to and engagement with digital technology over the past 15 years has transformed the potential for remote delivery of evidence-based digital health interventions (DHIs). Digital and remote behavioral interventions have the potential to address current gaps in the provision of evidence-based therapies in healthcare services. As the lack of access to behavioral treatments for people with tic disorders is a pressing issue across the world, there is great potential for DHIs to close this treatment gap. Here, we present a critical synthesis of the recent key advances in the field of digitally delivered, remote therapy for tics, outlining the research evidence for the clinical and cost-effectiveness and acceptability of digital or remotely delivered therapy. We found five trials aimed at reducing tic severity in children and young people and one trial for adults. The evidence supports the clinical utility of DHIs to deliver tic therapies, which shows promise in being clinically efficacious compared to an active control. Furthermore, DHIs in trials show good adherence and engagement and are acceptable to patients. The role of human support (including therapists and parents for young people) is likely to be important to encourage adherence. DHIs, where the main therapeutic content is delivered via web-based chapters, are likely to reduce clinical time, and maintain intervention fidelity, but further research is required to understand cost-effectiveness. Despite utilizing randomized controlled trials, only two trials were sufficiently powered to address efficacy and only one trial explored contextual factors that may influence engagement. Moreover, only one trial followed patients for >12 months, thus further long-term follow-ups are required. Specifically, we note that despite an emerging evidence base, DHIs for tics are yet to be routinely implemented in healthcare provision in any country. Drawing on the existing evidence, we conclude by proposing a stepped care model, in which digital therapy is implemented as a widely accessible first-line treatment using a purely online or therapist-supported approach.

Factors affecting doctor’s recommendation for mobile health services

Objective

As a new medical service mode, the value of mobile health (mHealth） services has received increasing attention and recognition. However, compared with the owners of mobile devices, the user scale of mHealth services is still small. It is well known that doctors’ recommendations have an important impact on what kind of medical service patients choose. To explore the key factors affecting doctors’ recommendation of mHealth services to patients, and to provide countermeasures for mHealth service providers and hospital managers, so as to promote doctors to recommend mHealth services to more patients.

Methods

Through literature review, expert consultation and pre-test, a questionnaire including 22 questions was designed, and 114 valid questionnaires were collected by online research. Net Promoter Score (NPS) was used to evaluate doctors’ recommendation willingness, and multivariate logistics analysis was used to evaluate the key factors affecting doctors’ recommendation willingness.

Results

The NPS of doctors was 6.06%, among which the recommenders, neutrals and critics accounted for 29.56%, 46.96% and 23.48%, respectively. The attitude towards mHealth services and whether they pay attention to and/or are willing to try new technologies are the key factors affecting the doctors’ recommendation, and the usefulness for patients most often emphasized by mHealth service providers to doctors does not affect doctors’ recommendation willingness. In addition, whether mHealth services can help doctors establish personal brands may be a potential factor to enhance doctors’ recommendation willingness.

Conclusion

In order to improve the recommendation willingness of doctors, mHealth service providers and hospital managers should focus on doctors who have a positive attitude towards mHealth services and are highly innovative (which often means younger and lower professional levels). At the same time, they should think about how to use mHealth services to help doctors establish personal brands in the future.

An App-Based Just-in-Time Adaptive Self-management Intervention for Care Partners (CareQOL): Protocol for a Pilot Trial

BACKGROUND

Care partners (ie, informal family caregivers) of individuals with health problems face considerable physical and emotional stress, often with a substantial negative impact on the health-related quality of life (HRQOL) of both care partners and care recipients. Given that these individuals are often overwhelmed by their caregiving responsibilities, low-burden self-management interventions are needed to support care partners to ensure better patient outcomes.

OBJECTIVE

The primary objective of this study is to describe an intensive data collection protocol that involves the delivery of a personalized just-in-time adaptive intervention that incorporates passive mobile sensor data feedback (sleep and activity data from a Fitbit [Fitbit LLC]) and real time self-reporting of HRQOL via a study-specific app called CareQOL (University of Michigan) to provide personalized feedback via app alerts.

METHODS

Participants from 3 diverse care partner groups will be enrolled (care partners of persons with spinal cord injury, care partners of persons with Huntington disease, and care partners of persons with hematopoietic cell transplantation). Participants will be randomized to either a control group, where they will wear the Fitbit and provide daily reports of HRQOL over a 3-month (ie, 90 days) period (without personalized feedback), or the just-in-time adaptive intervention group, where they will wear the Fitbit, provide daily reports of HRQOL, and receive personalized push notifications for 3 months. At the end of the study, participants will complete a feasibility and acceptability questionnaire, and metrics regarding adherence and attrition will be calculated.

RESULTS

This trial opened for recruitment in November 2020. Data collection was completed in June 2021, and the primary results are expected to be published in 2022.

CONCLUSIONS

This trial will determine the feasibility and acceptability of an intensive app-based intervention in 3 distinct care partner groups: care partners for persons with a chronic condition that was caused by a traumatic event (ie, spinal cord injury); care partners for persons with a progressive, fatal neurodegenerative disease (ie, Huntington disease); and care partners for persons with episodic cancer conditions that require intense, prolonged inpatient and outpatient treatment (persons with hematopoietic cell transplantation).

TRIAL REGISTRATION

ClinicalTrials.gov NCT04556591; https://clinicaltrials.gov/ct2/show/NCT04556591.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/32842.

Impact of mobile health and telehealth technology on medication adherence of stroke patients: a systematic review and meta-analysis of randomized controlled trials

Background Stroke patients have low medication adherence after discharge, which leads to a high recurrence rate and poor disease control. Various strategies have been explored to enhance medication adherence in this patient population. Aim To evaluate the effects of mobile health (mHealth) and telehealth technology on medication adherence in stroke patients. Method All English studies that met the inclusion criteria published before September 2021 were obtained from PubMed, EMBASE, Web of Science, and Cochrane Library. Two researchers independently screened articles, extracted data, and evaluated the quality of the included studies. All articles were about randomized controlled trials. Medication adherence was used as the outcome index of this review. Random or fixed-effect models were used in statistical methods. I² statistics were used to evaluate heterogeneity. Results A total of ten studies met the inclusion criteria, covering 2151 stroke patients. Compared with the Usual Care group, the medication adherence scores of the mHealth technology group were better (standard mean deviation 0.67, 95% confidence interval, CI [0.49, 0.85], P < 0.001). The medication adherence ratio of the mHealth technology group was higher (odds ratio, OR, 2.81, 95% CI [1.35, 5.85], P = 0.006). Subgroup analysis showed that application and messaging interventions were more effective than the telephone call intervention (OR 4.05, 95% CI [2.10, 7.80], P < 0.001). The shorter the interval of the intervention, the better the medication adherence of patients (OR 4.24, 95% CI [2.30, 7.81], P < 0.001). Conclusion Compared with Usual Care, mHealth can effectively improve the medication adherence of stroke patients.

Evaluating the Efficacy of Automated Smoking Treatment for People With HIV: Protocol for a Randomized Controlled Trial

Background

Smoking prevalence rates among people with HIV are nearly 3 times higher than those in the general population. Nevertheless, few smoking cessation trials targeting smokers with HIV have been reported in the literature. Efforts to develop and evaluate sustainable, low-cost, and evidence-based cessation interventions for people with HIV are needed. Given the widespread proliferation of mobile phones, the potential of using mobile health apps to improve the reach and efficacy of cessation interventions is promising, but evidence of efficacy is lacking, particularly among people with HIV.

Objective

This study will consist of a 2-group randomized controlled trial to evaluate a fully automated smartphone intervention for people with HIV seeking cessation treatment.

Methods

Participants (N=500) will be randomized to receive either standard treatment (ST; 250/500, 50%) or automated treatment (AT; 250/500, 50%). ST participants will be connected to the Florida Quitline and will receive nicotine replacement therapy in the form of transdermal patches and lozenges. This approach, referred to as Ask Advise Connect, was developed by our team and has been implemented in numerous health systems. ST will be compared with AT, a fully automated behavioral treatment approach. AT participants will receive nicotine replacement therapy and an interactive smartphone-based intervention that comprises individually tailored audiovisual and text content. The major goal is to determine whether AT performs better in terms of facilitating long-term smoking abstinence than the more resource-intensive ST approach. Our primary aim is to evaluate the efficacy of AT in facilitating smoking cessation among people with HIV. As a secondary aim, we will explore potential mediators and moderators and conduct economic evaluations to assess the cost and cost-effectiveness of AT compared with ST.

Results

The intervention content has been developed and finalized. Recruitment and enrollment will begin in the fall of 2021.

Conclusions

There is a critical need for efficacious, cost-effective, and sustainable cessation treatments for people with HIV who smoke. The AT intervention was designed to help fill this need. If efficacy is established, the AT approach will be readily adoptable by HIV clinics and community-based organizations, and it will offer an efficient way to allocate limited public health resources to tobacco control interventions.

Trial Registration

ClinicalTrials.gov NCT05014282; https://clinicaltrials.gov/ct2/show/NCT05014282

International Registered Report Identifier (IRRID)

PRR1-10.2196/33183

A Smoking Cessation App for Nondaily Smokers (Version 2 of the Smiling Instead of Smoking App): Acceptability and Feasibility Study

Background

Recent evidence highlights the significant detrimental impact of nondaily smoking on health and its disproportionate prevalence in underserved populations; however, little work has been done to develop treatments specifically geared toward quitting nondaily smoking.

Objective

This study aims to test the feasibility, acceptability, and conceptual underpinnings of version 2 of the Smiling Instead of Smoking (SiS2) smartphone app, which was developed specifically for nondaily smokers and uses a positive psychology approach.

Methods

In a prospective, single-group study, nondaily smokers (N=100) were prescribed use of the SiS2 app for 7 weeks while undergoing a quit attempt. The app assigned daily positive psychology exercises and behavioral tasks every 2 to 3 days, which guided smokers through using the smoking cessation tools offered in the app. Participants answered surveys at baseline and at 2, 6, 12, and 24 weeks postquit. Feasibility was evaluated based on app use and acceptability based on survey responses. The underlying conceptual framework was tested by examining whether theorized within-person changes occurred from baseline to end of treatment on scales measuring self-efficacy, desire to smoke, and processing of self-relevant health information (ie, pros and cons of smoking, importance of the pros and cons of quitting, and motivation).

Results

Participants used the SiS2 app on an average of 24.7 (SD 13.8) days out of the 49 prescribed days. At the end of treatment, most participants rated the functions of the app as very easy to use (eg, 70/95, 74% regarding cigarette log and 59/95, 62% regarding happiness exercises). The average score on the System Usability Scale was 79.8 (SD 17.3; A grade; A+ ≥84.1, B+ <78.8). Most participants reported that the app helped them in their quit attempt (83/95, 87%), and helped them stay positive while quitting (78/95, 82%). Large effects were found for within-person decreases in the desire to smoke (b=−1.5, 95% CI −1.9 to −1.1; P<.001; g_av=1.01), the importance of the pros of smoking (b=-20.7, 95% CI −27.2 to −14.3; P<.001; g_av=0.83), and perceived psychoactive benefits of smoking (b=−0.8, 95% CI −1.0 to −0.5; P<.001; g_av=0.80). Medium effects were found for increases in self-efficacy for remaining abstinent when encountering internal (b=13.1, 95% CI 7.6 to 18.7; P<.001; g_av=0.53) and external (b=11.2, 95% CI 6.1 to 16.1; P<.001; g_av=0.49) smoking cues. Smaller effects, contrary to expectations, were found for decreases in motivation to quit smoking (P=.005) and the perceived importance of the pros of quitting (P=.009). Self-reported 30-day point prevalence abstinence rates were 40%, 56%, and 56% at 6, 12, and 24 weeks after the quit day, respectively.

Conclusions

The SiS2 app was feasible and acceptable, showed promising changes in constructs relevant to smoking cessation, and had high self-reported quit rates by nondaily smokers. The SiS2 app warrants testing in a randomized controlled trial.

Randomized controlled trial testing a video-text tobacco cessation intervention among economically disadvantaged African American adults

OBJECTIVE

This pilot study tested the acceptability and short-term outcomes of a culturally specific mobile health (mHealth) intervention (Path2Quit) in a sample of economically disadvantaged African American adults. We hypothesized that Path2Quit would demonstrate greater acceptability, biochemically verified abstinence, and promote nicotine replacement therapy (NRT) use compared with a standard text-messaging program.

METHOD

In a 2-arm pilot randomized trial, adults who sought to quit smoking (N = 119) received either Path2Quit or the National Cancer Institute's (NCI) SmokefreeTXT, both combined with a brief behavioral counseling session plus 2 weeks of NRT. Outcomes included acceptability (intervention evaluation and use), NRT utilization, 24-hr quit attempts, self-reported 7-day point prevalence abstinence (ppa), and biochemically verified smoking abstinence at the 6-week follow-up.

RESULTS

Participants were 52% female/48% male, mostly single (60%), completed ≥ 12 years of education (83%), middle-aged, and 63% reported a household income < $10K/year. Participants smoked 11 (SD = 8.2) cigarettes/day for 25 (SD = 16) years, and reported low nicotine dependence. There were no differences in intervention evaluations or use (ps > .05), yet Path2Quit led to significantly greater NRT utilization at follow-up (p < .05). There was no difference in quit attempts between conditions or 7-day ppa (p > .05). However, Path2Quit resulted in significantly greater carbon monoxide confirmed ppa (adjusted odds ratio [AOR] = 3.55; 95% CI [1.32, 9.54]) at the 6-week follow-up.

CONCLUSIONS

A culturally specific mHealth intervention demonstrated positive effects on NRT use and short-term abstinence. Additional research in a larger sample and with long-term follow-up is warranted. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Six-Month Outcomes from the NEXit Junior Trial of a Text Messaging Smoking Cessation Intervention for High School Students: Randomized Controlled Trial With Bayesian Analysis

Background

The prevalence of daily or occasional smoking among high school students in Sweden was approximately 20% in 2019, which is problematic since lifestyle behaviors are established in adolescence and track into adulthood. The Nicotine Exit (NEXit) Junior trial was conducted in response to a lack of evidence for the effects of text message smoking cessation interventions among high school students in Sweden.

Objective

The aim of this study was to estimate the 3- and 6-month effects of a text messaging intervention among high school students in Sweden on smoking cessation outcomes.

Methods

A 2-arm, single-blind randomized controlled trial was employed to estimate the effects of the intervention on smoking cessation in comparison to treatment as usual. Participants were recruited from high schools in Sweden using advertising and promotion by school staff from January 10, 2018, to January 10, 2019. Weekly or daily smokers who were willing to make a quit attempt were eligible for inclusion. Prolonged abstinence and point prevalence of smoking cessation were measured at 3 and 6 months after randomization.

Results

Complete case analysis was possible on 57.9% (310/535) of the participants at 6 months, with no observed statistically significant effect on 5-month prolonged abstinence (odds ratio [OR] 1.27, 95% CI 0.73-2.20; P=.39) or 4-week smoking cessation (OR 1.42; 95% CI 0.83-2.46; P=.20). Sensitivity analyses using imputation yielded similar findings. Unplanned Bayesian analyses showed that the effects of the intervention were in the anticipated direction. The findings were limited by the risk of bias induced by high attrition (42.1%). The trial recruited high school students in a pragmatic setting and included both weekly and daily smokers; thus, generalization to the target population is more direct compared with findings obtained under more strict study procedures.

Conclusions

Higher than expected attrition rates to follow-up 6 months after randomization led to null hypothesis tests being underpowered; however, unplanned Bayesian analyses found that the effects of the intervention were in the anticipated direction. Future trials of smoking cessation interventions targeting high school students should aim to prepare strategies for increasing retention to mid- and long-term follow-up.

Trial Registration

IRCTN Registry ISRCTN15396225; https://www.isrctn.com/ISRCTN15396225

International Registered Report Identifier (IRRID)

RR2-10.1186/s13063-018-3028-2

Adaptation and Assessment of a Text Messaging Smoking Cessation Intervention in Vietnam: Pilot Randomized Controlled Trial

Background

Text message (ie, short message service, SMS) smoking cessation interventions have demonstrated efficacy in high-income countries but are less well studied in low- and middle-income countries, including Vietnam.

Objective

The goal of the research is to assess the feasibility, acceptability, and preliminary efficacy of a fully automated bidirectional SMS cessation intervention adapted for Vietnamese smokers.

Methods

The study was conducted in 3 phases. In phase 1, we adapted the SMS library from US-based SMS cessation programs (ie, SmokefreeTXT and Text2Quit). The adaptation process consisted of 7 focus groups with 58 smokers to provide data on culturally relevant patterns of tobacco use and assess message preferences. In phase 2, we conducted a single-arm pilot test of the SMS intervention with 40 smokers followed by in-depth interviews with 10 participants to inform additional changes to the SMS library. In phase 3, we conducted a 2-arm pilot randomized controlled trial (RCT) with 100 smokers. Participants received either the SMS program (intervention; n=50) or weekly text assessment on smoking status (control; n=50). The 6-week SMS program consisted of a 2-week prequit period and a 4-week postquit period. Participants received 2 to 4 automated messages per day. The main outcomes were engagement and acceptability which were assessed at 6 weeks (end of intervention). We assessed biochemically confirmed smoking abstinence at 6 weeks and 12 weeks. Postintervention in-depth interviews explored user experiences among a random sample of 16 participants in the intervention arm.

Results

Participants in both arms reported high levels of engagement and acceptability. Participants reported using the program for an average of 36.4 (SD 3.4) days for the intervention arm and 36.0 (SD 3.9) days for the control arm. Four of the 50 participants in the intervention arm (8%) reset the quit date and 19 (38%) texted the keyword TIPS. The majority of participants in both arms reported that they always or usually read the text messages. Compared to the control arm, a higher proportion of participants in the intervention arm reported being satisfied with the program (98% [49/50] vs 82% [41/50]). Biochemically verified abstinence was higher in the intervention arm at 6 weeks (20% [10/50] vs 2% [1/50]; P=.01), but the effect was not significant at 12 weeks (12% [6/50] vs 6% [3/50]; P=.49). In-depth interviews conducted after the RCT suggested additional modifications to enhance the program including tailoring the timing of messages, adding more opportunities to interact with the program, and placing a greater emphasis on messages that described the harms of smoking.

Conclusions

The study supported the feasibility and acceptability of an SMS program adapted for Vietnamese smokers. Future studies need to assess whether, with additional modifications, the program is associated with prolonged abstinence.

Trial Registration

ClinicalTrials.gov NCT03219541; https://clinicaltrials.gov/ct2/show/NCT03219541

Evaluating the use of a recommender system for selecting optimal messages for smoking cessation: patterns and effects of user-system engagement

Background

Motivational messaging is a frequently used digital intervention to promote positive health behavior changes, including smoking cessation. Typically, motivational messaging systems have not actively sought feedback on each message, preventing a closer examination of the user-system engagement. This study assessed the granular user-system engagement around a recommender system (a new system that actively sought user feedback on each message to improve message selection) for promoting smoking cessation and the impact of engagement on cessation outcome.

Methods

We prospectively followed a cohort of current smokers enrolled to use the recommender system for 6 months. The system sent participants motivational messages to support smoking cessation every 3 days and used machine learning to incorporate user feedback (i.e., user’s rating on the perceived influence of each message, collected on a 5-point Likert scale with 1 indicating strong disagreement and 5 indicating strong agreement on perceiving the influence on quitting smoking) to improve the selection of the following message. We assessed user-system engagement by various metrics, including user response rate (i.e., the percent of times a user rated the messages) and the perceived influence of messages. We compared retention rates across different levels of user-system engagement and assessed the association between engagement and the 7-day point prevalence abstinence (missing outcome = smoking) by using multiple logistic regression.

Results

We analyzed data from 731 participants (13% Black; 73% women). The user response rate was 0.24 (SD = 0.34) and user-perceived influence was 3.76 (SD = 0.84). The retention rate positively increased with the user response rate (trend test P < 0.001). Compared with non-response, six-month cessation increased with the levels of response rates: low response rate (odds ratio [OR] = 1.86, 95% confidence interval [CI]: 1.07–3.23), moderate response rate (OR = 2.30, 95% CI: 1.36–3.88), high response rate (OR = 2.69, 95% CI: 1.58–4.58). The association between perceived message influence and the outcome showed a similar pattern.

Conclusions

High user-system engagement was positively associated with both high retention rate and smoking cessation, suggesting that investigation of methods to increase engagement may be crucial to increase the impact of the recommender system for smoking cessation.

Trial registration

Registration Identifier: NCT03224520. Registration date: July 21, 2017.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11803-8.

Mobile health in preventive cardiology: current status and future perspective

PURPOSE OF REVIEW

Despite cutting edge acute interventions and growing preventive strategies supported by robust clinical trials, cardiovascular disease (CVD) has stubbornly persisted as a leading cause of death in the United States and globally. The American Heart Association recognizes mobile health technologies (mHealth) as an emerging strategy in the mitigation of CVD risk factors, with significant potential for improving population health. The purpose of this review is to highlight and summarize the latest available literature on mHealth applications and provide perspective on future directions and barriers to implementation.

RECENT FINDINGS

While available randomized controlled trials and systematic reviews tend to support efficacy of mHealth, published literature includes heterogenous approaches to similar problems with inconsistent results. Some of the strongest recent evidence has been focused on the use of wearables in arrhythmia detection. Systematic reviews of mHealth approaches demonstrate benefit when applied to risk factor modification in diabetes, cigarette smoking cessation, and physical activity/weight loss, while also showing promise in multi risk factor modification via cardiac rehabilitation.

SUMMARY

Evidence supports efficacy of mHealth in a variety of applications for CVD prevention and management, but continued work is needed for further validation and scaling. Future directions will focus on platform optimization, data and sensor consolidation, and clinical workflow integration. Barriers include application heterogeneity, lack of reimbursement structures, and inequitable access to technology. Policies to promote access to technology will be critical to evidence-based mHealth technologies reaching diverse populations and advancing health equity.

Takore i te Kai Ava'ava (Quit smoking), a mCessation Program Adapted for the Cook Islands: Indicators of Potential for Tobacco Control

Mobile phone-based smoking cessation interventions (mCessation) are an established evidence-based intervention designed to support smokers to quit. Evidence of impact to date is modestly positive but skewed in favor of high-resourced countries, with less evidence of value added to low-resourced settings. Takore i te Kai Ava'ava, a text message-based smoking cessation program, was delivered to smokers living on the island of Rarotonga in 2019. Eighty-eight smokers consented to take part. Participants completed a baseline questionnaire about current smoking behavior and previous quit attempts; follow-up measures at 2 months assess quit attempts feedback on the program. Thirty-two people completed the follow-up interviews; 10 (31%) had not smoked in the past 7 days, 23 (72%) reported a serious quit attempt, and 29 (91%) felt the program was effective for the Cook Islands. Takore i te Kai Ava'ava was deemed to be highly acceptable and potentially cost-effective.

Adding to the Message Testing Tool Belt: Assessing the Feasibility and Acceptability of an EMA-Style, Mobile Approach to Pretesting mHealth Interventions

Effective health message design requires strong pretesting to ensure that potential audiences see communication efforts as acceptable. Previous research has often used long-form surveys to test messaging, even when the potential communication efforts are going to take place in a non-traditional format, such as on a text message platform. This study asks whether real-time sampling on a mobile phone could serve as a message-testing alternative to traditional surveys. Participants evaluated health messages over a week using mobile phones in a style similar to ecological momentary assessment. More than 90 percent of messages were evaluated, and a majority of participants preferred this methodology to other pretesting methods. This approach, while not without limitations, is a viable tool for diversifying message testing efforts.

Effect of a mobile just-in-time implementation intention intervention on momentary smoking lapses in smoking cessation attempts among Asian American young adults

Identifying vulnerable windows for a given problematic behavior and providing timely and appropriate support are critical for building an effective just-in-time (JIT) intervention for behavioral change. We developed and evaluated an implementation intention (II) based, JIT cessation intervention prototype to support Asian American young adult smokers to prevent lapses in their cessation attempts in real-time. We examined how a JIT II reminder may prevent lapses during self-identified high-risk smoking situation (HRSS) as a microtemporal process. We also tested whether the effect of JIT reminder changes over the course of study and differed between those who used their own versus project loan phones. Asian American young adult smokers (N = 57) who were interested in quitting or reducing smoking participated in a 4 week, mobile-based, cessation study (MyQuit USC, MQU). MQU is a JIT mobile app that deploys a user-specified II reminder at user-specified HRSS and assesses momentary lapse status. Generalized mixed linear models were conducted to assess the effect of the JIT intervention on lapse prevention. We found a significant interaction effect (p = .03) such that receiving JIT reminder reduced the likelihood of lapses for participants using their own phones but not for the loaners. The results also showed that when participants enacted the suggested II, they were less likely to lapse (p < .001). The JIT effect did not change over time in study (p = .21). This study provides evidence that receiving a reminder of a smoker's own plan just before a self-identified risky situation on a familiar device and successfully executing specified plans can be helpful in preventing lapses. Our results highlighted factors to consider when designing and refining a JIT intervention.

A Pilot Randomized Controlled Trial of Text Messaging to Increase Tobacco Treatment Reach in the Emergency Department

INTRODUCTION

Automated text messaging programs have been studied as a treatment tool, but have not been studied as an outreach tool to increase the reach of smoking cessation treatment.

AIMS AND METHODS

Two distinct text messaging programs were developed. One was aimed at connecting smokers to quitline phone counseling via text message (Text4Coach [T4C]) and the other was aimed at connecting smokers to a smoking cessation text messaging program (Text&Quit [T&Q]). Adult daily smokers with Medicaid insurance (N = 80) were recruited from the Emergency Department at an urban hospital and randomized to T4C or T&Q. The primary outcome was program reach.

RESULTS

Outreach text messages were found to have moderately high uptake, with the majority of participants (63.8%) opting into their assigned tobacco treatment program and younger and female participants more likely to opt in (p < .01). Receipt of the treatment portion of the program differed among the programs with 67.5% of T&Q receiving the treatment program and 27.5% of T4C receiving the program (p < .001). Most participants across both groups replied to at least one message (71.3%) and very few unsubscribed from the service over the 3-week trial. The majority of participants reported overall satisfaction with their program (63.8%), found it helpful for quitting smoking (60.0%) and would recommend the program to a friend (62.5%). Overall, 11 (13.8%) participants reported being abstinent from smoking for the past 7 days at follow-up, with no differences between groups.

CONCLUSIONS

Outreach text messages were found to have moderately high reach among Medicaid smokers. Larger trials are needed to evaluate the impact of such programs on helping low-income smokers quit.

IMPLICATIONS

Automated text messaging programs have been tested as a treatment tool, but have not been tested as an outreach tool to increase the reach of smoking cessation treatment. This study tests a new way of conducting outreach to smokers in a health system through text messages. It tests the effect of outreach on (1) rates of opting in and (2) successful treatment delivery. Results may inform new models of providing outreach for tobacco treatment in health systems.

Cost-effectiveness of a mobile phone text messaging program (KIDNEYTEXT) targeting dietary behaviours in people receiving haemodialysis

BACKGROUND

There is little information available to inform the cost-effectiveness of eHealth interventions in improving patient health outcomes. A trial-based economic evaluation was undertaken aiming to inform the feasibility of conducting a mobile phone text messaging programme targeting dietary behaviours in people receiving haemodialysis.

METHODS

A trial-based economic evaluation from a health system perspective of a 6-month pilot randomised controlled trial was undertaken. One hundred and thirty patients receiving haemodialysis from six dialysis units across Sydney, Australia, were enrolled into the KIDNEYTEXT study. Usual care (inperson dietary counselling) was compared with usual care plus three semi-personalised dietary mobile phone text messages per week over a 6-month period. The outcomes of this economic evaluation included: cost of intervention, cost-effectiveness and marginal effects on total costs.

RESULTS

The cost of developing and maintaining the KIDNEYTEXT intervention was US $110 per participant. Total costs were US $1418 higher in the usual care arm compared to the intervention arm. The incremental benefits for quality-adjusted life adjusted years were 0.01 [95% confidence interval (CI) = -0.03 to 0.06] and dietary adherence (i.e., adherent to three or more dietary guidelines at 6 months) being 0.04 (95% CI = -0.15 to 0.24). The largest component of total costs was related to unplanned admissions to hospital.

CONCLUSIONS

Mobile phone text messages targeting dietary behaviours may be cost saving, at the same time as maintaining similar or improved dietary behaviours. A larger trial with a longer follow-up time is warranted.

Efficacy and Safety of Text Messages Targeting Adherence to Cardiovascular Medications in Secondary Prevention: TXT2HEART Colombia Randomized Controlled Trial

Background

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of mortality worldwide, with a prevalence of approximately 100 million patients. There is evidence that antiplatelet agents and antihypertensive medications could reduce the risk of new vascular events in this population; however, treatment adherence is very low. An SMS text messaging intervention was recently developed based on behavior change techniques to increase adherence to pharmacological treatment among patients with a history of ASCVD.

Objective

This study aims to evaluate the efficacy and safety of an SMS text messaging intervention to improve adherence to cardiovascular medications in patients with ASCVD.

Methods

A randomized controlled clinical trial for patients with a prior diagnosis of cardiovascular events, such as acute myocardial infarction, unstable angina, cerebrovascular disease, or peripheral artery disease, in one center in Colombia was conducted. Patients randomized to the intervention arm were assigned to receive SMS text messages daily for the first 4 weeks, 5 SMS text messages on week 5, 3 SMS text messages each in weeks 6 and 7, and 1 SMS text message weekly from week 8 until week 52. In contrast, patients in the control arm received a monthly SMS text message reminding them of the next study appointment and the importance of the study, requesting information about changes in their phone number, and thanking them for participating in the study. The primary endpoint was the change in low-density lipoprotein cholesterol (LDL-C) levels, whereas the secondary endpoints were the changes in thromboxane B2 levels, heart rate, systolic and diastolic blood pressure, medication adherence, cardiac and noncardiac mortality, and hospitalization. Linear regression analyses and bivariate tests were performed.

Results

Of the 930 randomized patients, 805 (86.5%) completed follow-up and were analyzed for the primary endpoint. There was no evidence that the intervention changed the primary outcome (LDL-C levels; P=.41) or any of the secondary outcomes evaluated (all P>.05). There was also no evidence that the intervention was associated with adverse events.

Conclusions

In this study, there was no evidence that a behavior modification intervention delivered by SMS text messaging improved LDL-C levels, blood pressure levels, or adherence at 12 months. More research is needed to evaluate whether different SMS text messaging strategies, including personalized messages and different timings, are effective; future studies should include mixed methods to better understand why, for whom, and in which context (eg, health system or social environment) SMS text messaging interventions work (or not) to improve adherence in patients with ASCVD.

Trial Registration

ClinicalTrials.gov NCT03098186; https://clinicaltrials.gov/ct2/show/NCT03098186

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2018-028017

Testing Digital Methods of Patient-Reported Outcomes Data Collection: A prospective, cluster randomized trial to test text messaging and mobile surveys. (Preprint)

Background

Health care delivery continues to evolve, with an effort being made to create patient-centered care models using patient-reported outcomes (PROs) data. Collecting PROs has remained challenging and an expanding landscape of digital health offers a variety of methods to engage patients.

Objective

The aim of this study is to prospectively investigate two common methods of remote PRO data collection. The study sought to compare response and engagement rates for bidirectional SMS text messaging and mobile surveys following orthopedic surgery.

Methods

The study was a prospective, block randomized trial of adults undergoing elective orthopedic procedures over 6 weeks. The primary objective was to determine if the method of digital patient engagement would impact response and completion rates. The primary outcome was response rate and total completion of PRO questionnaires.

Results

A total of 127 participants were block randomized into receiving a mobile survey (n=63) delivered as a hyperlink or responding to the same questions through an automated bidirectional SMS text messaging system (n=64). Gender, age, number of comorbidities, and opioid prescriptions were similar across messaging arms. Patients receiving the mobile survey were more likely to have had a knee-related surgery (n=50, 83.3% vs n=40, 62.5%; P=.02) but less likely to have had an invasive procedure (n=26, 41.3% vs n=39, 60.9%; P=.03). Overall engagement over the immediate postoperative period was similar. Prolonged engagement for patients taking opioids past postoperative day 4 was higher in the mobile survey arm at day 7 (18/19, 94.7% vs 9/16, 56.3%). Patients with more invasive procedures showed a trend toward being responsive at day 4 as compared to not responding (n=41, 59.4% vs n=24, 41.4%; P=.05).

Conclusions

As mobile patient engagement becomes more common in health care, testing the various options to engage patients to gather data is crucial to inform future care and research. We found that bidirectional SMS text messaging and mobile surveys were comparable in response and engagement rates; however, mobile surveys may trend toward higher response rates over longer periods of time.

Trial Registration

ClinicalTrials.gov NCT03532256; https://clinicaltrials.gov/ct2/show/NCT03532256

An Intervention to Improve Medication Adherence in People With Heart Disease (Text4HeartII): Randomized Controlled Trial

BACKGROUND

Mobile health technologies have the potential to improve the reach and delivery of interventions for promoting long-term secondary prevention of coronary heart disease.

OBJECTIVE

This study aims to determine the effectiveness of an SMS text messaging intervention (Text4HeartII) for improving adherence to medication and lifestyle changes over and above usual care in people with coronary heart disease at 24 and 52 weeks.

METHODS

A two-arm, parallel, randomized controlled trial was conducted in New Zealand. Participants with a recent acute coronary syndrome were randomized to receive usual cardiac services alone (control, n=153) or a 24-week SMS text message program for supporting self-management plus usual cardiac services (n=153). The primary outcome was adherence to medication at 24 weeks, defined as a medication possession ratio of 80% or more for aspirin, statin, and antihypertensive therapy. Secondary outcomes included medication possession ratio at 52 weeks, self-reported medication adherence, adherence to healthy lifestyle behaviors, and health-related quality of life at 24 and 52 weeks.

RESULTS

Participants were predominantly male (113/306, 80.3%) and European New Zealanders (210/306, 68.6%), with a mean age of 61 years (SD 11 years). Groups were comparable at baseline. National hospitalization and pharmacy dispensing records were available for all participants; 92% (282/306, 92.1%) of participants completed a 24-week questionnaire and 95.1% (291/306) of participants completed a 52-week questionnaire. Adherence with 3 medication classes were lower in the intervention group than in the control group (87/153, 56.8% vs 105/153, 68.6%, odds ratio 0.60, 95% CI 0.38-0.96; P=.03) and 52 weeks (104/153, 67.9% vs 83/153, 54.2%; odds ratio 0.56, 95% CI 0.35-0.89; P=.01). Self-reported medication adherence scores showed the same trend at 52 weeks (mean difference 0.3; 95% CI 0.01-0.59; P=.04). Moreover, self-reported adherence to health-related behaviors was similar between groups.

CONCLUSIONS

Text4HeartII did not improve dispensed medication or adherence to a favorable lifestyle over and above usual care. This finding contrasts with previous studies and highlights that the benefits of text interventions may depend on the context in which they are used.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12616000422426; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=370398.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s13063-018-2468-z.

Impact of Chinese respiratory physicians participating in smoking cessation and mobile health: A randomised feasibility trial

INTRODUCTION

People who are eager to quit smoking often lack long-term, daily smoking cessation guidance. In addition, advances in mobile communication technology offer promising ways for providing tobacco dependence treatment. However, it is unclear whether the doctor-WeChat network can improve the smoking cessation rate of nicotine-dependent patients.

METHODS

In this prospective single-blind cohort study, 250 smokers were enrolled from May 2018 to October 2018. They were randomly divided into two groups, with or without doctors' active smoking cessation service, and followed up for 6 months. The smoking cessation rate and characteristics of successful smoking cessation groups were compared. The reasons for relapse were also analysed.

RESULTS

After smoking cessation for 3 months, the success rate of the group involving active respiratory physicians was 65.0% (80/123), whereas the success rate of the control group was 34.7% (34/98). After 6 months, the success rate of the group involving active respiratory physicians was 55.3% (68/123), while that of the control group was only 11.2% (11/98). There was no difference in the weight change of the participants between the two groups. Subgroup analysis showed that doctors' participation had a greater impact on the success of smoking cessation in men younger than 45 years or unemployed.

CONCLUSIONS

Doctors in mobile smoking cessation services played a very important role in improving quit rates. Our research provided methodological guidance for further clinical trials and a template for further real-world applications of smoking cessation services.

Real-World Utilization and Outcomes of the Veterans Health Administration's Smoking Cessation Text Message Program

INTRODUCTION

Smoking cessation mobile health (mHealth) programs are effective and have been recommended for integration into health care services but have not been evaluated in real-world health care settings. The Veterans Health Administration, a safety net health care provider, provides health care for 9 million US military veterans. Veterans Health Administration implemented the SmokefreeVET text message program in 2013.

METHODS

A retrospective evaluation of 6153 SmokefreeVET subscribers was conducted. The primary outcome was 30-day self-reported abstinence at 6 months. Secondary outcomes included percentage of opt outs, program completers, and 30-day self-reported abstinence at 3 months.

RESULTS

SmokefreeVET subscribers were on average 47.5 years old and 71.4% male. Smoking cessation medication use was reported by 11.5% of subscribers at the start of their quit attempt and subscribers enrolled in the program for an average of 29 days. Subscribers who were younger, female, and heavier smokers were more likely to opt out of the six-week program early. The abstinence rate for the primary outcome, self-reported 30-day abstinence at 6 months among all subscribers was 3.7%.

CONCLUSIONS

SmokefreeVET enrolled a younger and more female population of subscribers than other studies of veterans interested in tobacco treatment. The mHealth program was generally acceptable to veterans, yet strategies to increase retention may improve completion rates and outcomes. In this real-world setting, nearly half of the mHealth program subscribers combined use of the text program with smoking cessation medication. Further study of the optimal combination of mHealth with smoking cessation treatments is needed.

IMPLICATIONS

mHealth smoking cessation programs can be effectively implemented within real-world health care settings, even in those serving disadvantaged populations. Further research to improve mHealth program efficacy and integration into clinical settings will increase the population-level impact of these effective smoking cessation programs.

Smoking Treatment: A Report Card on Progress and Challenges

The impact of tobacco smoking treatment is determined by its reach into the smoking population and the effectiveness of its interventions. This review evaluates the reach and effectiveness of pharmacotherapy and psychosocial interventions for smoking. Historically, the reach of smoking treatment has been low, and therefore its impact has been limited, but new reach strategies such as digital interventions and health care system changes offer great promise. Pharmacotherapy tends to be more effective than psychosocial intervention when used clinically, and newer pharmacotherapy strategies hold great promise of further enhancing effectiveness. However, new approaches are needed to advance psychosocial interventions; progress has stagnated because research and dissemination efforts have focused too narrowly on skill training despite evidence that its core content may be inconsequential and the fact that its mechanisms are either unknown or inconsistent with supporting theory. Identifying effective psychosocial content and its mechanisms of action could greatly enhance the effectiveness of counseling, digital, and web interventions.

Mobile chat-based support plus nicotine replacement therapy sampling to promote smoking cessation for community smokers: A randomized controlled trial

INTRODUCTION

Mobile instant messaging could deliver real-time, personalized, interactive smoking cessation support. Nicotine replacement therapy (NRT) is effective in increasing quit attempts and abstinence but is underused. We assessed the feasibility of mobile chat-based intervention combined NRT sampling (NRT-S) on abstinence.

METHODS

In this two-arm, single-blinded, randomized controlled trial, adult (≥18 years) daily cigarette smokers were proactively recruited from Hong Kong community settings using ‘foot-in-the-door’ approach during December 2017 to March 2018. All participants received brief advice on quitting, 1-week of NRT-S, active referral to smoking cessation services, and were individually randomized (1:1) at baseline. The intervention group received two months of chat-based support via instant messaging. The control group received general smoking cessation text messages. The primary outcome was smoking abstinence validated by exhaled carbon monoxide (<4 ppm) and salivary cotinine (<10 ng/mL) at 3 and 6 months using intention-to-treat analysis.

RESULTS

A total of 119 participants (80.7% male, 60.5% aged 30–40 years) were randomized and analyzed. Among the 14 and 13 self-reported quitters at 3 and 6 months respectively, only 3 and 1 had biochemical validation. The 3 months validated abstinence rate was 2/62 (intervention) vs 1/57 (control) (AOR=1.07; 95% CI: 0.08–13.65). At 6 months follow-up (68.9% of participants retained), more participants in the intervention group reported quitting (10/62 vs 3/57; AOR=2.83; 95% CI: 0.70–11.30), smoking reduction (20/62 vs 11/57; AOR=1.74; 95% CI: 0.71–4.26), and quit attempts (56/62 vs 44/57; AOR=2.61; 95% CI: 0.88–7.82). Significantly more NRT-S use (39/62 vs 22/57; AOR=2.27; 95% CI: 1.04–4.96) was observed in the intervention group. Participants engaged in mobile chat support (21/62) reported more NRT-S use (76.2% vs 56.1%), although not statistically significant.

CONCLUSIONS

Mobile chat-based support plus NRT-S was feasible and showed preliminary evidence of increased quitting, smoking reduction, quit attempts, and NRT-S use in proactively recruited community smokers.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT03574077.

Randomised controlled trial of a just-in-time adaptive intervention (JITAI) smoking cessation smartphone app: the Quit Sense feasibility trial protocol

INTRODUCTION

A lapse (any smoking) early in a smoking cessation attempt is strongly associated with reduced success. A substantial proportion of lapses are due to urges to smoke triggered by situational cues. Currently, no available interventions proactively respond to such cues in real time. Quit Sense is a theory-guided just-in-time adaptive intervention smartphone app that uses a learning tool and smartphone sensing to provide in-the-moment tailored support to help smokers manage cue-induced urges to smoke. The primary aim of this randomised controlled trial (RCT) is to assess the feasibility of delivering a definitive online efficacy trial of Quit Sense.

METHODS AND ANALYSES

A two-arm parallel-group RCT allocating smokers willing to make a quit attempt, recruited via online adverts, to usual care (referral to the NHS SmokeFree website) or usual care plus Quit Sense. Randomisation will be stratified by smoking rate (<16 vs ≥16 cigarettes/day) and socioeconomic status (low vs high). Recruitment, enrolment, baseline data collection, allocation and intervention delivery will be automated through the study website. Outcomes will be collected at 6 weeks and 6 months follow-up via the study website or telephone, and during app usage. The study aims to recruit 200 smokers to estimate key feasibility outcomes, the preliminary impact of Quit Sense and potential cost-effectiveness, in addition to gaining insights on user views of the app through qualitative interviews.

ETHICS AND DISSEMINATION

Ethics approval has been granted by the Wales NHS Research Ethics Committee 7 (19/WA/0361). The findings will be disseminated to the public, the funders, relevant practice and policy representatives and other researchers.

TRIAL REGISTRATION NUMBER

ISRCTN12326962.

A digital behaviour change intervention to increase booking and attendance at Stop Smoking Services: the MyWay feasibility RCT

Background

Smoking remains a leading cause of illness and preventable death. NHS Stop Smoking Services increase quitting, but, as access is in decline, cost-effective interventions are needed that promote these services. StopApp™ (Coventry University, Coventry, UK) is designed to increase booking and attendance at Stop Smoking Services.

Design

A two-arm feasibility randomised controlled trial of StopApp (intervention) compared with standard promotion and referral to Stop Smoking Services (control) was conducted to assess recruitment, attrition and health equity of the design, alongside health economic and qualitative process evaluations.

Setting

Smokers recruited via general practitioners, community settings and social media.

Participants

Smokers aged ≥ 16 years were recruited in one local authority. Participants had to live or work within the local authority area, and there was a recruitment target of 120 participants.

Interventions

StopApp to increase booking and attendance at Stop Smoking Services.

Main outcome measures

Participants completed baseline measures and follow-up at 2 months post randomisation entirely online. Objective data on the use of Stop Smoking Services were collected from participating Stop Smoking Services, and age groups, sex, ethnicity and socioeconomic status in baseline recruits and follow-up completers/non-completers were assessed for equity.

Results

Eligible participants (n = 123) were recruited over 116 days, with good representation of lower socioeconomic status groups; black, Asian and minority ethnic groups; and all age groups. Demographic profiles of follow-up completers and non-completers were broadly similar. The attrition rate was 51.2%, with loss to follow-up lowest in the social media setting (n = 24/61; 39.3%) and highest in the general practitioner setting (n = 21/26; 80.8%). Most measures had < 5% missing data. Social media represented the most effective and cost-efficient recruitment method. In a future, definitive, multisite trial with recruitment driven by social media, our data suggest that recruiting ≥ 1500 smokers over 12 months is feasible. Service data showed that five bookings for the Stop Smoking Services were scheduled using StopApp, of which two did not attend. Challenges with data access were identified. A further five participants in the intervention arm self-reported booking and accessing Stop Smoking Services outside StopApp compared with two control arm participants. Event rate calculations for the intervention were 8% (Stop Smoking Services data), 17% (including self-reports) and 3.5% from control arm self-reports. A conservative effect size of 6% is estimated for a definitive full trial. A sample size of 840 participants would be required to detect an effect for the primary outcome measure of booking a Stop Smoking Services appointment in a full randomised controlled trial. The process evaluation found that participants were satisfied with the research team contact, study methods and provision of e-vouchers. Staff interviews revealed positive and negative experiences of the trial and suggestions for improvements, including encouraging smokers to take part.

Conclusion

This feasibility randomised controlled trial found that, with recruitment driven wholly or mainly by social media, it is possible to recruit and retain sufficient smokers to assess the effectiveness and cost-effectiveness of StopApp. The study methods and measures were found to be acceptable and equitable, but accessing Stop Smoking Services data about booking, attendance and quit dates was a challenge. A full trial may be feasible if service data are accessible. This will require careful planning with data controllers and a targeted social media campaign for recruitment. Changes to some study measures are needed to avoid missing data, including implementation of a more intensive follow-up data collection process.

Future work

We plan a full, definitive randomised controlled trial if the concerns around data access can be resolved, with adaptations to the recruitment and retention strategy.

Limitations

Our trial had high attrition and problems with collecting Stop Smoking Services data, which resulted in a reliance on self-reporting.

Trial registration

Research Registry: 3995. The trial was registered on 18 April 2018.

Funding

This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 9, No. 5. See the NIHR Journals Library website for further project information.

Reducing weight and BMI following gestational diabetes: a systematic review and meta-analysis of digital and telemedicine interventions

Women with past gestational diabetes mellitus (GDM) are at risk of subsequent type 2 diabetes and adverse cardiovascular events. Digital and telemedicine interventions targeting weight loss and reductions in body mass index (BMI) may help reduce risk for women with GDM. The aim was to compare the effectiveness of digital or telemedicine intervention with usual care. Randomized controlled trials (RCTs) were identified in Embase, Medline, CINAHL, PsycINFO and the Cochrane Library. Included trials recruited women with prior GDM but without pre-existing diabetes, and tested a digital or telemedicine intervention with or without an in-person component. Data extraction was carried out independently by two authors. The search yielded 898 citations. Eighteen articles reporting 15 trials were included, of which 8 tested digital interventions. Reported outcomes included weight, BMI, fasting plasma glucose and waist circumference. None of the included trials reported type 2 diabetes incidence or cardiovascular risk. Data were pooled using a random-effects model. The point estimate favored the intervention but was non-significant for both BMI (-0.90 kg/m², 95% CI -1.89 to 0.09; p=0.08) and weight (-1.83 kg, 95% CI -4.08 to 0.42, p=0.11). Trials evaluating digital and telemedicine interventions identified clinically relevant, but non-significant improvements in BMI and weight compared with control. No trials assessed type 2 diabetes occurrence as an outcome. More well-designed RCTs with adequate power and long-term follow-up are needed to identify the impact of these interventions on type 2 diabetes occurrence.

An incentive-based health program using MyPlate: a pilot study analyzing college students' dietary intake behavior

Is dietary education, incentivized by financial rewards, effective in achieving improved dietary intake behavior of college students? Participants: Fifty-seven undergraduates (18-24 years old), non-nutrition major students. Methods: The intervention group participated in weekly nutrition education meetings which focused on MyPlate for four weeks. Both the control and the intervention groups completed two online surveys that assessed the students' knowledge and dietary behavior at the beginning and at the end of the 4-week education program. The respondents' diet quality was determined by their compliance with MyPlate and their Healthy Eating Index's recommendations. Results: Students who received education showed the most improvement regarding their knowledge and dietary behavior. These respondents tripled their average per capita consumption of whole grains and increased their fruit and vegetable intakes. Conclusions: Educating college students to work toward improving their diets with the assistance of incentives may have positive effect on their health behaviors.

Mobile Pulmonary Rehabilitation: Feasibility of Delivery by a Mobile Phone-Based Program

Background: Pulmonary rehabilitation (PR) has been proven effective but is not well accessed due to transport, time, cost, and physical limitations of patients. We have developed a mobile phone-based PR program (mPR) that could be offered as an alternative for those unable to attend in-person. This was developed following formative research with patients, their families and clinicians. mPR has a core text message program plus an app that includes an action plan, exercise videos, lung visualization, symptom score questionnaire and 1-min sit-to-stand test.

Aims: To determine the feasibility of delivering pulmonary rehabilitation by mobile phone.

Methods: A 9-week non-randomized (1-arm) pilot study was conducted. Participants were 26 adults with chronic obstructive pulmonary disease plus four family members, who were offered participation at first assessment or during group PR sessions. Outcomes included satisfaction, engagement with the program, and perceived impacts.

Results: Eight people (31%) opted for text messages only, and 18 (69%) chose text messages plus the app. Three people stopped the program early, 20 said they would recommend it to others, 19 said it helped them to feel more supported, 17 said it helped them to change their behavior.

Conclusion: It is feasible to deliver PR support via mobile phone, including exercise prescription and support. Our mPR program was appreciated by a small number of people with chronic respiratory disorders and family members. Suggestions for improvements are being used to inform the further development of the program, which will then be tested for effectiveness. Registered with the Australia New Zealand Clinical Trials Registry ACTRN12619000884101 (www.anzctr.org.au).

Tobacco Smoking Cessation and Quitline Use Among Adults Aged ≥15 Years in 31 Countries: Findings From the Global Adult Tobacco Survey

INTRODUCTION

About 80% of the 1.1 billion people who smoke tobacco worldwide reside in low- and middle-income countries. Evidence-based approaches to promote cessation include brief advice from health professionals and referrals through quitlines. This study assesses cessation behaviors and the use of cessation services in the past 12 months among current tobacco smokers in 31 countries who attempted to quit.

METHODS

Data came from the Global Adult Tobacco Survey, a household-based survey of non-institutionalized adults aged ≥15 years. Surveys were conducted in 31 countries during 2008-2018; sample sizes ranged from 4,250 (Malaysia) to 74,037 (India), and response rates ranged from 64.4% (Ukraine) to 98.5% (Qatar). In 2019, data from the 31 countries were assessed in June 2019, and indicators included self-reported current (daily or less than daily) tobacco smoking, past-year quit attempts, and cessation methods used in the past 12 months.

RESULTS

Current tobacco smoking prevalence ranged from 3.7% (Ethiopia) to 38.2% (Greece). Overall, an estimated 176.8 million adults from the 31 countries made a quit attempt in the past 12 months, with country-level prevalence ranging from 16.4% (Greece) to 54.7% (Botswana). Most individuals who made a quit attempt did so without assistance (median=74.4%). Other methods were less prevalent, including quitlines (median=0.2%) and counseling (median=7.2%).

CONCLUSIONS

In the assessed countries, the majority of those who currently smoked tobacco and made a quit attempt did so without assistance; very few reported using quitlines, partly because of the lack of quitlines in some countries. In resource-limited settings, quitlines can play a greater role in helping people quit smoking as part of a comprehensive approach.

Mobile phone-based messaging for tobacco cessation in low and middle-income countries: A systematic review

INTRODUCTION

Mobile phone-based tobacco cessation (mCessation) interventions are effective in high-income countries but their effectiveness in low and middle-income countries (LMICs) is unclear. We aimed to assess the evidence-base for mCessation interventions in LMICs by synthesizing study characteristics and to describe intervention characteristics and content.

METHODS

Studies were included in this review if they evaluated an intervention that targeted tobacco users, were conducted in an LMIC, measured tobacco cessation as a primary or secondary outcome, and were primarily delivered using mobile phone (text or app-based) messaging. Data were extracted on fields pertaining to study and intervention characteristics and study quality was assessed using the Effective Public Health Practice Project tool. Screening, extraction and quality assessment were conducted by two independent reviewers.

RESULTS

Of 606 unique records, 12 articles were included. The majority of studies were methodologically weak. Methodological limitations included small sample sizes, short follow-up durations and use of self-reported outcomes. Most evaluations were conducted in upper middle-income countries with urban, adult smokers intending to quit smoking. Approximately half the interventions were bidirectional (enabled two-way messaging) and fully automated. Almost all interventions were delivered via SMS. Treatment offerings of the intervention and control groups varied widely.

CONCLUSIONS

More rigorous large-scale randomized controlled trials are needed to conclusively establish the efficacy of mCessation interventions in LMICs. Interventions also need to be tested across more diverse populations and settings. Future studies should test the relative effectiveness of different intervention characteristics.

Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study

BACKGROUND

Substance use among adolescents and emerging adults continues to be an important public health problem associated with morbidity and mortality. Mobile health (mHealth) provides a promising approach to deliver just-in-time adaptive interventions (JITAIs) to prevent escalation of use and substance use-related consequences.

OBJECTIVE

This pilot study aims to describe the iterative development and initial feasibility and acceptability testing of an mHealth smartphone app, called MiSARA, designed to reduce escalation in substance use.

METHODS

We used social media advertisements to recruit youth (n=39; aged 16-24 years, who screened positive for past-month binge drinking or recreational cannabis use) with a waiver of parental consent. Participants used the MiSARA app for 30 days, with feasibility and acceptability data reported at a 1-month follow-up. We present descriptive data regarding behavior changes over time.

RESULTS

The results show that most participants (31/39, 79%) somewhat liked the app at least, with most (29/39, 74%) rating MiSARA as 3 or more stars (out of 5). Almost all participants were comfortable with self-reporting sensitive information within the app (36/39, 92%); however, most participants also desired more interactivity (27/39, 69%). In addition, participants' substance use declined over time, and those reporting using the app more often reported less substance use at the 1-month follow-up than those who reported using the app less often.

CONCLUSIONS

The findings suggest that the MiSARA app is a promising platform for JITAI delivery, with future trials needed to optimize the timing and dose of messages and determine efficacy.

Does addition of craving management tools in a stop smoking app improve quit rates among adult smokers? Results from BupaQuit pragmatic pilot randomised controlled trial

OBJECTIVES

Delivery of craving management tools via smartphone applications (apps) may improve smoking cessation rates, but research on such programmes remains limited, especially in real-world settings. This study evaluated the effectiveness of adding craving management tools in a cessation app (BupaQuit).

METHODS

The study was a two-arm pragmatic pilot parallel randomised controlled trial, comparing a fully-automated BupaQuit app with craving management tool with a control app version without craving management tool. A total of 425 adult UK-based daily smokers were enrolled through open online recruitment (February 2015-March 2016), with no researcher involvement, and individually randomised within the app to the intervention (n = 208) or control (n = 217). The primary outcome was self-reported 14-day continuous abstinence assessed at 4-week follow-up. Secondary outcomes included 6-month point-prevalence and sustained abstinence, and app usage. The primary outcome was assessed with Fisher's exact test using intent to treat with those lost to follow-up counted as smoking. Participants were not reimbursed.

RESULTS

Re-contact rates were 50.4% at 4 weeks and 40.2% at 6 months. There was no significant difference between intervention and control arms on the primary outcome (13.5% vs 15.7%; p = 0.58; relative risk = 0.86, 95% confidence interval = 0.54-1.36) or secondary cessation outcomes (6-month point prevalence: 14.4% vs 17.1%, p = 0.51; relative risk = 0.85, 95% confidence interval = 0.54-1.32; 6-month sustained: 11.1% vs 13.4%, p = 0.55; relative risk = 0.83, 95% confidence interval = 0.50-1.38). Bayes factors supported the null hypothesis (B[0, 0, 1.0986] = 0.20). Usage was similar across the conditions (mean/median logins: 9.6/4 vs 10.5/5; time spent: 401.8/202 s vs 325.8/209 s).

CONCLUSIONS

The addition of craving management tools did not affect cessation, and the limited engagement with the app may have contributed to this.

Augmented Reality for Smoking Cessation: Development and Usability Study

Background

The recent widespread availability of augmented reality via smartphone offers an opportunity to translate cue exposure therapy for smoking cessation from the laboratory to the real world. Despite significant reductions in the smoking rates in the last decade, approximately 13.7% of the adults in the United States continue to smoke. Smoking-related cue exposure has demonstrated promise as an adjuvant therapy in the laboratory, but practical limitations have prevented its success in the real world. Augmented reality technology presents an innovative approach to overcome these limitations.

Objective

The aim of this study was to develop a smartphone app that presents smoking-related augmented reality images for cue exposure. Smokers provided feedback on the images and reported on the perceived urge to smoke, qualities of reality/coexistence, and general feedback about quality and functioning. The feedback was used to refine the augmented reality images within the app.

Methods

In collaboration with an augmented reality design company, we developed 6 smoking-related images (cigarette, lighter, ashtray, lit cigarette in ashtray, etc) and 6 neutral images similar in size or complexity for comparison (pen, eraser, notebook, soda bottle with droplets, etc). Ten smokers completed a survey of demographic characteristics, smoking history and behavior, dependence on nicotine, motivation to quit smoking, and familiarity with augmented reality technology. Then, participants viewed each augmented reality image and provided ratings on 10-point Likert scales for urge to smoke and reality/coexistence of the image into the scene. Participants were also queried with open-ended questions regarding the features of the images.

Results

Of the 10 participants, 5 (50%) had experienced augmented reality prior to the laboratory visit, but only 4 of those 5 participants used augmented reality at least weekly. Although the sample was small (N=10), smokers reported significantly higher urge to smoke after viewing the smoking-related augmented reality images (median 4.58, SD 3.49) versus the neutral images (median 1.42, SD 3.01) (Z=–2.14, P=.03; d=0.70). The average reality and coexistence ratings of the images did not differ between smoking-related and neutral images (all P>.29). Augmented reality images were found on average to be realistic (mean [SD] score 6.49 [3.11]) and have good environmental coexistence (mean [SD] score 6.93 [3.04]) and user coexistence (mean [SD] score 6.38 [3.27]) on the 10-point scale. Participant interviews revealed some areas of excellence (eg, details of the lit cigarette) and areas for improvement (eg, stability of images, lighting).

Conclusions

All images were generally perceived as being realistic and well-integrated into the environment. However, the smoking augmented reality images produced higher urge to smoke than the neutral augmented reality images. In total, our findings support the potential utility of augmented reality for cue exposure therapy. Future directions and next steps are discussed.

Use of short message service in at-home COVID-19 patient management

BACKGROUND

Mobile health innovations are well adapted for ambulatory coronavirus disease 2019 (COVID-19) patients who risk clinical deterioration at home during the second week of illness.

METHODS

A short message service (SMS) communication program was implemented by French physicians to monitor COVID-19 patients after discharge from outpatient or emergency care. The aim of the SMS tracking is to advise patients about their need for medical reassessment if reporting worsening of COVID-19 symptoms. A follow-up via SMS to all confirmed positive patients in the Nîmes area (France) was established. Every morning, patients received four follow-up questions. Daily responses were converted to green, orange or red trees, analysed in real time by physicians. "Red" patients were called immediately to check their condition and organise transfer to hospital if needed. "Orange" patients were called within two hours to verify whether the specific instructions following the SMS had been followed.

RESULTS

From March 21 to June 30, 2020, 1007 patients agreed to sign up to the SMS tracking, 62% were women and the mean age was 41.5 years (standard deviation (SD) 16.0). During follow-up, 649 (64%) became "orange" and 69 (7%) "red". Ten patients were directly admitted to the Infectious Diseases Department during their follow-up due to clinical worsening, all but one as a result of SMS alerts and subsequent telephone assessment by physicians.

CONCLUSION

SMS tracking platforms could be useful as an early warning system to refer patients with worsening clinical status to hospital-based care or additional clinician advice.

Remote Methods for Conducting Tobacco-Focused Clinical Trials

Most tobacco-focused clinical trials are based on locally conducted studies that face significant challenges to implementation and successful execution. These challenges include the need for large, diverse, yet still representative study samples. This often means a protracted, costly, and inefficient recruitment process. Multisite clinical trials can overcome some of these hurdles but incur their own unique challenges. With recent advances in mobile health and digital technologies, there is now a promising alternative: Remote Trials. These trials are led and coordinated by a local investigative team, but are based remotely, within a given community, state, or even nation. The remote approach affords many of the benefits of multisite trials (more efficient recruitment of larger study samples) without the same barriers (cost, multisite management, and regulatory hurdles). The Coronavirus Disease 2019 (COVID-19) global health pandemic has resulted in rapid requirements to shift ongoing clinical trials to remote delivery and assessment platforms, making methods for the conduct of remote trials even more timely. The purpose of the present review is to provide an overview of available methods for the conduct of remote tobacco-focused clinical trials as well as illustrative examples of how these methods have been implemented across recently completed and ongoing tobacco studies. We focus on key aspects of the clinical trial pipeline including remote: (1) study recruitment and screening, (2) informed consent, (3) assessment, (4) biomarker collection, and (5) medication adherence monitoring. Implications With recent advances in mobile health and digital technologies, remote trials now offer a promising alternative to traditional in-person clinical trials. Remote trials afford expedient recruitment of large, demographically representative study samples, without undo burden to a research team. The present review provides an overview of available methods for the conduct of remote tobacco-focused clinical trials across key aspects of the clinical trial pipeline.

Effects of a Text Messaging Smoking Cessation Intervention Among Online Help Seekers and Primary Health Care Visitors in Sweden: Protocol for a Randomized Controlled Trial Using a Bayesian Group Sequential Design

BACKGROUND

A steady decline of the smoking prevalence in Sweden has been recorded over the past decade; however, people still start and continue to smoke. There is a need for effective smoking cessation interventions that can scale to a national level and that are designed to reach individuals requiring smoking cessation support in the general population.

OBJECTIVE

Previous randomized controlled trials of smoking cessation interventions among high school and university students in Sweden have found consistent evidence that text messaging interventions are effective in helping students quit smoking. However, there are no studies that investigate the effects of text messaging interventions in a more general population. The objective of this study is to estimate the effects of a text messaging intervention on individuals seeking help to quit online and individuals visiting primary health care units.

METHODS

A 2-arm, parallel-group (1:1), randomized controlled trial will be employed to address the study objectives. The trial will follow a Bayesian group sequential design. Recruitment will be conducted using online advertisement (Google, Bing, and Facebook) and through health care professionals at primary health care units. All participants will receive treatment as usual; however, participants who are allocated to the intervention arm will also be given access to a 12-week text message smoking cessation intervention. Primary outcomes are 8-week prolonged abstinence and 4-week point prevalence, measured 3 months and 6 months postrandomization. Mediator variables (self-efficacy, importance, and know-how) will be measured to estimate causal mediation models.

RESULTS

Recruitment commenced in September 2020 and will not exceed 24 months. This means that a complete dataset will be available at the latest towards the end of 2022. We expect to publish the findings from this trial by June 2023.

CONCLUSIONS

This trial will further our understanding of the effects of text messaging interventions among a more general population than has previously been studied. We also aim to learn about differential effects between those who seek support online and those who are given facilitated support at primary health care units. Trial recruitment is limited to the Swedish population; however, a strength of this study is the pragmatic way in which participants are recruited. Through online advertisements, individuals are recruited in reaction to their own interest in seeking help to quit. At primary health care units, individuals who were not necessarily looking for smoking cessation support are given information about the trial. This closely mimics the way the intervention would be disseminated in a real-world setting and may therefore strengthen the argument of generalizability of findings.

TRIAL REGISTRATION

ISRCTN 13455271; http://www.isrctn.com/ISRCTN13455271.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/23677.