Mobile phone-based interventions for smoking cessation

Whittaker, Robyn; Borland, Ron; Bullen, Chris; Lin, Ruey B; McRobbie, Hayden; Rodgers, Anthony

doi:10.1002/14651858.cd006611.pub2

Cited by 164 publications

(95 citation statements)

References 27 publications

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“…The remaining reports of mobile technologies for smoking cessation were a range of studies including descriptions of design and development; reports of feasibility, acceptability, and usability data; uncontrolled trials; and various systematic reviews. For completeness, 2 Cochrane meta-analyses of this area 140,141 are included in the table.…”

Section: Review Of Evidence For the Efficacy Of Mobile Technologybasementioning

confidence: 99%

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Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Burke¹,

Ma²,

Azar³

et al. 2015

Circulation

488

389

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A lthough mortality for cardiovascular disease (CVD) has declined for several decades, heart disease and stroke continue to be the leading causes of death, disability, and high healthcare costs. Unhealthy behaviors related to CVD risk (eg, smoking, sedentary lifestyle, and unhealthful eating habits) remain highly prevalent. The high rates of overweight, obesity, and type 2 diabetes mellitus (T2DM); the persistent presence of uncontrolled hypertension; lipid levels not at target; and the ≈18% of adults who continue to smoke cigarettes pose formidable challenges for achieving improved cardiovascular health.1,2 It is apparent that the performance of healthful behaviors related to the management of CVD risk factors has become an increasingly important facet of the prevention and management of CVD. 3In 2010, the American Heart Association (AHA) made a transformative shift in its strategic plan and added the concept of cardiovascular health.2 To operationalize this concept, the AHA targeted 4 health behaviors in the 2020 Strategic Impact Goals: reduction in smoking and weight, healthful eating, and promotion of regular physical activity. Three health indicators also were included: glucose, blood pressure (BP), and cholesterol. On the basis of the AHA Life's Simple 7 metrics for improved cardiovascular health, <1% of adults in the United States follow a healthful eating plan, only 32% have a normal body mass index, and > 30% have not reached the target levels for lipids or BP. National Health and Nutrition Examination Survey (NHANES) data revealed that people who met ≥6 of the cardiovascular health metrics had a significantly better risk profile (hazard ratio for all-cause mortality, 0.49) compared with individuals who had achieved only 1 metric or none.2 The studies reviewed in this statement targeted these behaviors (ie, smoking, physical activity, healthful eating, and maintaining a healthful weight) and cardiovascular health indicators (ie, blood glucose, lipids, BP, body mass index) as the primary outcomes in the clinical trials testing mobile health (mHealth) interventions.eHealth, or digital health, is the use of emerging communication and information technologies, especially the Internet, to improve health and health care 4 (Table 1). mHealth, a subsegment of eHealth, is the use of mobile computing and communication technologies (eg, mobile phones, wearable sensors) for health services and information.4,5 mHealth technology uses techniques and advanced concepts from an array of disciplines, for example, computer science, electrical and

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Section: Review Of Evidence For the Efficacy Of Mobile Technologybasementioning

confidence: 99%

“…Cochrane Meta-Analysis Controlled studies of mobile phone programs for smoking cessation have been summarized in a Cochrane meta-analysis 140 and update. 141 The details of studies reviewed in these 2 meta-analyses are listed in Table 4.…”

mentioning

confidence: 99%

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Burke¹,

Ma²,

Azar³

et al. 2015

Circulation

488

389

View full text Add to dashboard Cite

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“…74,75 Recent systematic reviews have shown that text messages can successfully change behaviour. [76][77][78] This type of intervention is particularly well suited to middle-aged men because their ownership of mobile phones is high. 79 The behaviour change strategy was based on the Health Action Process Approach (HAPA).…”

Section: The Text Messagesmentioning

confidence: 99%

Modifying Alcohol Consumption to Reduce Obesity (MACRO): development and feasibility trial of a complex community-based intervention for men

Crombie

Cunningham

Irvine

et al. 2017

Health Technol Assess

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Background Obese men who consume alcohol are at a greatly increased risk of liver disease; those who drink > 14 units of alcohol per week have a 19-fold increased risk of dying from liver disease. Objectives To develop an intervention to reduce alcohol consumption in obese men and to assess the feasibility of a randomised controlled trial (RCT) to investigate its effectiveness. Design of the intervention The intervention was developed using formative research, public involvement and behaviour change theory. It was organised in two phases, comprising a face-to-face session with trained laypeople (study co-ordinators) followed by a series of text messages. Participants explored how alcohol consumption contributed to weight gain, both through direct calorie consumption and through its effect on increasing food consumption, particularly of high-calorie foodstuffs. Men were encouraged to set goals to reduce their alcohol consumption and to make specific plans to do so. The comparator group received an active control in the form of a conventional alcohol brief intervention. Randomisation was carried out using the secure remote web-based system provided by the Tayside Clinical Trials Unit. Randomisation was stratified by the recruitment method and restricted using block sizes of randomly varying lengths. Members of the public were involved in the development of all study methods. Setting Men were recruited from the community, from primary care registers and by time–space sampling (TSS). The intervention was delivered in community settings such as the participant’s home, community centres and libraries. Participants Men aged 35–64 years who had a body mass index (BMI) of > 30 kg/m2 and who drank > 21 units of alcohol per week. Results The screening methods successfully identified participants meeting the entry criteria. Trial recruitment was successful, with 69 men (36 from 419 approached in primary care, and 33 from 470 approached via TSS) recruited and randomised in 3 months. Of the 69 men randomised, 35 were allocated to the intervention group and 34 to the control group. The analysis was conducted on 31 participants from the intervention group and 30 from the control group. The participants covered a wide range of ages and socioeconomic statuses. The average alcohol consumption of the men recruited was 47.2 units per week, more than twice that of the entry criterion (> 21 units per week). Most (78%) engaged in binge drinking (> 8 units in a session) at least weekly. Almost all (95%) exceeded the threshold for a 19-fold increase in the risk of dying from liver disease (BMI of > 30 kg/m2 and > 14 units of alcohol per week). Despite this, they believed that they were at low risk of harm from alcohol, possibly because they seldom suffered acute harms (e.g. hangovers) and made few visits to a general practitioner or hospital. Intervention The intervention was delivered with high fidelity. A high follow-up rate was achieved (98%) and the outcomes for the full RCT were measured. A process evaluation showe...

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“…A plethora of recent systematic reviews provide further support for the short-term efficacy of text message-delivered interventions across different health behaviours among different age groups and populations (Head et al, 2013;Jones et al, 2014;Mason et al, 2014;Poorman et al, 2014;Saffari et al, 2014;Whittaker et al, 2009).…”

Section: Initial Behaviour Change Interventions Delivered Via Text Mementioning

confidence: 99%

“…This evidence gap on reporting of maintenance outcomes is mirrored in the broader adult population literature Text messaging is a potential cost-effective and broad reach modality to deliver the extended contact interventions that are needed to promote maintenance of behaviour change. There is evidence to support the efficacy of using text messaging to deliver shortterm health behaviour change interventions Maddison et al, 2014;Spring et al, 2012;Whittaker et al, 2009), and emerging evidence to support the use of this modality to deliver extended contact interventions ). However, reviews exploring text message-delivered interventions report a focus on adolescents (Lau et al, 2011) and younger adults (Fjeldsoe et al, 2009;Spring et al, 2012).…”

Section: Physical Activity And/or Dietary Behaviour Change Interventimentioning

confidence: 99%

Understanding and influencing the maintenance of physical activity and dietary behaviour change in breast cancer survivors

Spark¹

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Mobile phone-based interventions for smoking cessation

Abstract: The current evidence shows no effect of mobile phone-based smoking cessation interventions on long-term outcome. While short-term results are positive, more rigorous studies of the long-term effects of mobile phone-based smoking cessation interventions are needed.

Cited by 164 publications

References 27 publications

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Modifying Alcohol Consumption to Reduce Obesity (MACRO): development and feasibility trial of a complex community-based intervention for men

Understanding and influencing the maintenance of physical activity and dietary behaviour change in breast cancer survivors

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